diff --git a/README.md b/README.md
index 687728d..0f6500b 100644
--- a/README.md
+++ b/README.md
@@ -37,26 +37,21 @@ Below is a sample of the GPU specifications data included in the repository:
 Attribute (Unit) | H100 | L40S | A100 PCIe 80GB
 --- | --- | --- | ---
 FP64 (TFLOPS) | 25.6 | 1.4 | 9.7
-FP64 Tensor Core (TFLOPS) | 51 | ? | 19.5
+FP64 Tensor Core (TFLOPS) | 51 | 1.4 | 19.5
 FP32 (TFLOPS) | 51.2 | 91.6 | 19.5
 TF32 Tensor Core (TFLOPS) | ? | 183 | 156
 TF32 Tensor Core with Sparsity (TFLOPS) | 756 | 366 | 312
 FP16 (TFLOPS) | 204.9 | 91.6 | 78
 FP16 Tensor Core (TFLOPS) | ? | 362 | 312
 FP16 Tensor Core with Sparsity (TFLOPS) | ? | 733 | 624
-BF16 (TFLOPS) | ? | ? | ?
 BF16 Tensor Core (TFLOPS) | ? | 362 | 312
 BF16 Tensor Core with Sparsity (TFLOPS) | 1513 | 733 | 624
-FP8 (TFLOPS) | N/A | N/A | N/A
 FP8 Tensor Core (TFLOPS) | ? | 733 | N/A
 FP8 Tensor Core with Sparsity (TFLOPS) | 3026 | 1466 | N/A
-FP4 (TFLOPS) | N/A | N/A | N/A
 FP4 Tensor Core (TFLOPS) | N/A | N/A | N/A
 FP4 Tensor Core with Sparsity (TFLOPS) | N/A | N/A | N/A
-INT8 (TOPS) | ? | ? | ?
 INT8 Tensor Core (TOPS) | ? | 733 | 624
 INT8 Tensor Core with Sparsity (TOPS) | 3026 | 1466 | 1248
-INT4 (TOPS) | N/A | N/A | N/A
 INT4 Tensor Core (TOPS) | ? | 733 | ?
 INT4 Tensor Core with Sparsity (TOPS) | ? | 1466 | ?
 **Architecture Details** |  |  |  | 
@@ -68,6 +63,7 @@ NVIDIA RT Cores | ? | 142 (3rd gen) | ?
 NVIDIA Tensor Cores | 456 (4th gen) | 568 (4th gen) | 432 (3rd gen)
 NVIDIA CUDA Cores | 14592 | 18176 | 6912
 GPU Memory (GB) | 80 | 48 | 80
+Memory Type | HBM2e | GDDR6 | HBM2e
 Memory Bandwidth (GB/s) | 2048 | 864 | 1935
 Interconnect Type | PCIe Gen5 | PCIe Gen4 | PCIe Gen4
 Encoders and Decoders | 0, 7 | 3, 3 | 0, 5
diff --git a/data/specs.json b/data/specs.json
index 0022f1e..a07d81e 100644
--- a/data/specs.json
+++ b/data/specs.json
@@ -1,678 +1,618 @@
 {
-  "_header": {
-    "name": { "full_name": "GPU Name" },
-    "fp64": { "full_name": "FP64", "unit": "TFLOPS" },
-    "fp64_tensor_core": { "full_name": "FP64 Tensor Core", "unit": "TFLOPS" },
-    "fp32": { "full_name": "FP32", "unit": "TFLOPS" },
-    "tf32_tensor_core": { "full_name": "TF32 Tensor Core", "unit": "TFLOPS" },
-    "tf32_tensor_core_sparsity": { "full_name": "TF32 Tensor Core with Sparsity", "unit": "TFLOPS" },
-    "fp16": { "full_name": "FP16", "unit": "TFLOPS" },
-    "fp16_tensor_core": { "full_name": "FP16 Tensor Core", "unit": "TFLOPS" },
-    "fp16_tensor_core_sparsity": { "full_name": "FP16 Tensor Core with Sparsity", "unit": "TFLOPS" },
-    "bf16": { "full_name": "BF16", "unit": "TFLOPS" },
-    "bf16_tensor_core": { "full_name": "BF16 Tensor Core", "unit": "TFLOPS" },
-    "bf16_tensor_core_sparsity": { "full_name": "BF16 Tensor Core with Sparsity", "unit": "TFLOPS" },
-    "fp8": { "full_name": "FP8", "unit": "TFLOPS" },
-    "fp8_tensor_core": { "full_name": "FP8 Tensor Core", "unit": "TFLOPS" },
-    "fp8_tensor_core_sparsity": { "full_name": "FP8 Tensor Core with Sparsity", "unit": "TFLOPS" },
-    "fp4": { "full_name": "FP4", "unit": "TFLOPS" },
-    "fp4_tensor_core": { "full_name": "FP4 Tensor Core", "unit": "TFLOPS" },
-    "fp4_tensor_core_sparsity": { "full_name": "FP4 Tensor Core with Sparsity", "unit": "TFLOPS" },
-    "int8": { "full_name": "INT8", "unit": "TOPS" },
-    "int8_tensor_core": { "full_name": "INT8 Tensor Core", "unit": "TOPS" },
-    "int8_tensor_core_sparsity": { "full_name": "INT8 Tensor Core with Sparsity", "unit": "TOPS" },
-    "int4": { "full_name": "INT4", "unit": "TOPS" },
-    "int4_tensor_core": { "full_name": "INT4 Tensor Core", "unit": "TOPS" },
-    "int4_tensor_core_sparsity": { "full_name": "INT4 Tensor Core with Sparsity", "unit": "TOPS" },
-    "manufacturer": { "full_name": "Manufacturer" },
-    "architecture": { "full_name": "Architecture" },
-    "process": { "full_name": "Manufacturing Process" },
-    "nvidia_rt_cores": { "full_name": "NVIDIA RT Cores"},
-    "nvidia_rt_cores_generation": { "full_name": "NVIDIA RT Cores Generation"},
-    "nvidia_tensor_cores": { "full_name": "NVIDIA Tensor Cores" },
-    "nvidia_tensor_cores_generation": { "full_name": "NVIDIA Tensor Cores Generation" },
-    "nvidia_cuda_cores": { "full_name": "NVIDIA CUDA Cores" },
-    "gpu_memory": { "full_name": "GPU Memory", "unit": "GB" },
-    "memory_bandwidth": { "full_name": "Memory Bandwidth", "unit": "GB/s" },
-    "interconnect": { "full_name": "Interconnect Type" },
-    "encoders_decoders": { "full_name": "Encoders and Decoders" },
-    "cuda_compute_capability": { "full_name": "CUDA Compute Capability" },
-    "power_consumption": { "full_name": "Power Consumption", "unit": "W" },
-    "die_size": { "full_name": "Die Size", "unit": "mm2" }
-   },
-   "h100": {
-      "name": "H100",
-      "fp64": 25.6,
-      "fp64_tensor_core": 51,
-      "fp32": 51.2,
-      "tf32_tensor_core": null,
-      "tf32_tensor_core_sparsity": 756,
-      "fp16": 204.9,
-      "fp16_tensor_core": null,
-      "fp16_tensor_core_sparsity": null,
-      "bf16": null,
-      "bf16_tensor_core": null,
-      "bf16_tensor_core_sparsity": 1513,
-      "fp8": 0,
-      "fp8_tensor_core": null,
-      "fp8_tensor_core_sparsity": 3026,
-      "fp4": 0,
-      "fp4_tensor_core": 0,
-      "fp4_tensor_core_sparsity": 0,
-      "int8": null,
-      "int8_tensor_core": null,
-      "int8_tensor_core_sparsity": 3026,
-      "int4": 0,
-      "int4_tensor_core": null,
-      "int4_tensor_core_sparsity": null,
-      "manufacturer": "NVIDIA",
-      "architecture": "Hopper",
-      "process": null,
-      "nvidia_rt_cores": null,
-      "nvidia_rt_cores_generation": null,
-      "nvidia_tensor_cores": 456,
-      "nvidia_tensor_cores_generation": 4,
-      "nvidia_cuda_cores": 14592,
-      "gpu_memory": 80,
-      "memory_bandwidth": 2048,
-      "interconnect": "PCIe Gen5",
-      "encoders_decoders": "0, 7",
-      "cuda_compute_capability": "9",
-      "power_consumption": 350,
-      "die_size": null,
-      "sources": [
-         "https://getdeploying.com/reference/cloud-gpu/nvidia-h100",
-         "https://www.techpowerup.com/gpu-specs/h100-pcie-80-gb.c3899",
-         "https://developer.nvidia.com/video-encode-and-decode-gpu-support-matrix-new"
-      ]
-   },
-   "l40s": {
-      "name": "L40S",
-      "fp64": 1.4,
-      "fp64_tensor_core": null,
-      "fp32": 91.6,
-      "tf32_tensor_core": 183,
-      "tf32_tensor_core_sparsity": 366,
-      "fp16": 91.6,
-      "fp16_tensor_core": 362,
-      "fp16_tensor_core_sparsity": 733,
-      "bf16": null,
-      "bf16_tensor_core": 362,
-      "bf16_tensor_core_sparsity": 733,
-      "fp8": 0,
-      "fp8_tensor_core": 733,
-      "fp8_tensor_core_sparsity": 1466,
-      "fp4": 0,
-      "fp4_tensor_core": 0,
-      "fp4_tensor_core_sparsity": 0,
-      "int8": null,
-      "int8_tensor_core": 733,
-      "int8_tensor_core_sparsity": 1466,
-      "int4": 0,
-      "int4_tensor_core": 733,
-      "int4_tensor_core_sparsity": 1466,
-      "manufacturer": "NVIDIA",
-      "architecture": "Ada Lovelace",
-      "process": null,
-      "nvidia_rt_cores": 142,
-      "nvidia_rt_cores_generation": 3,
-      "nvidia_tensor_cores": 568,
-      "nvidia_tensor_cores_generation": 4,
-      "nvidia_cuda_cores": 18176,
-      "gpu_memory": 48,
-      "memory_bandwidth": 864,
-      "interconnect": "PCIe Gen4",
-      "encoders_decoders": "3, 3",
-      "cuda_compute_capability": "8.9",
-      "power_consumption": 300,
-      "die_size": null,
-      "sources": [
-         "https://resources.nvidia.com/en-us-l40s/l40s-datasheet-28413",
-         "https://www.techpowerup.com/gpu-specs/l40s.c4173"
-      ]
-   },
-   "l4": {
-      "name": "L4",
-      "fp64": 0.5,
-      "fp64_tensor_core": null,
-      "fp32": 30.3,
-      "tf32_tensor_core": 60,
-      "tf32_tensor_core_sparsity": 120,
-      "fp16": 30.3,
-      "fp16_tensor_core": 121,
-      "fp16_tensor_core_sparsity": 242,
-      "bf16": null,
-      "bf16_tensor_core": 121,
-      "bf16_tensor_core_sparsity": 242,
-      "fp8": 0,
-      "fp8_tensor_core": 242,
-      "fp8_tensor_core_sparsity": 485,
-      "fp4": 0,
-      "fp4_tensor_core": 0,
-      "fp4_tensor_core_sparsity": 0,
-      "int8": null,
-      "int8_tensor_core": 242,
-      "int8_tensor_core_sparsity": 485,
-      "int4": 0,
-      "int4_tensor_core": null,
-      "int4_tensor_core_sparsity": null,
-      "manufacturer": "NVIDIA",
-      "architecture": "Ada Lovelace",
-      "process": null,
-      "nvidia_rt_cores": 60,
-      "nvidia_rt_cores_generation": 3,
-      "nvidia_tensor_cores": 240,
-      "nvidia_tensor_cores_generation": 4,
-      "nvidia_cuda_cores": 7424,
-      "gpu_memory": 24,
-      "memory_bandwidth": 300,
-      "interconnect": "PCIe Gen4",
-      "encoders_decoders": "2, 4",
-      "cuda_compute_capability": "8.9",
-      "power_consumption": 72,
-      "die_size": null,
-      "sources": [
-         "https://resources.nvidia.com/en-us-data-center-overview/l4-gpu-datasheet",
-         "https://www.techpowerup.com/gpu-specs/l4.c4091"
-      ]
-   },
-   "rtx4090": {
-      "name": "GeForce RTX 4090",
-      "fp64": 1.3,
-      "fp64_tensor_core": null,
-      "fp32": 82.6,
-      "tf32_tensor_core": 82.6,
-      "tf32_tensor_core_sparsity": 165.2,
-      "fp16": 82.6,
-      "fp16_tensor_core": 330.3,
-      "fp16_tensor_core_sparsity": 660.6,
-      "bf16": null,
-      "bf16_tensor_core": 165.2,
-      "bf16_tensor_core_sparsity": 330.4,
-      "fp8": null,
-      "fp8_tensor_core": 660.6,
-      "fp8_tensor_core_sparsity": 1321.2,
-      "fp4": 0,
-      "fp4_tensor_core": 0,
-      "fp4_tensor_core_sparsity": 0,
-      "int8": 292.8,
-      "int8_tensor_core": 660.6,
-      "int8_tensor_core_sparsity": 1321.2,
-      "int4": null,
-      "int4_tensor_core": 1321.2,
-      "int4_tensor_core_sparsity": 2642.4,
-      "manufacturer": "NVIDIA",
-      "architecture": "Ada Lovelace",
-      "process": "TSMC 4N",
-      "nvidia_rt_cores": 128,
-      "nvidia_rt_cores_generation": 3,
-      "nvidia_tensor_cores": 512,
-      "nvidia_tensor_cores_generation": 4,
-      "nvidia_cuda_cores": 16384,
-      "gpu_memory": 24,
-      "memory_bandwidth": 1008,
-      "interconnect": "PCIe Gen4",
-      "encoders_decoders": "2, 1",
-      "cuda_compute_capability": "8.9",
-      "power_consumption": 450,
-      "die_size": 608.5,
-      "sources": [
-         "https://www.techpowerup.com/gpu-specs/geforce-rtx-4090.c3889",
-         "https://images.nvidia.com/aem-dam/Solutions/geforce/ada/nvidia-ada-gpu-architecture.pdf",
-         "https://developer.nvidia.com/cuda-gpus"
-      ]
-   },
-   "a100_pcie_40gb": {
-      "name": "A100 PCIe 40GB",
-      "fp64": 9.7,
-      "fp64_tensor_core": 19.5,
-      "fp32": 19.5,
-      "tf32_tensor_core": 156,
-      "tf32_tensor_core_sparsity": 312,
-      "fp16": 78,
-      "fp16_tensor_core": 312,
-      "fp16_tensor_core_sparsity": 624,
-      "bf16": null,
-      "bf16_tensor_core": 312,
-      "bf16_tensor_core_sparsity": 624,
-      "fp8": 0,
-      "fp8_tensor_core": 0,
-      "fp8_tensor_core_sparsity": 0,
-      "fp4": 0,
-      "fp4_tensor_core": 0,
-      "fp4_tensor_core_sparsity": 0,
-      "int8": null,
-      "int8_tensor_core": 624,
-      "int8_tensor_core_sparsity": 1248,
-      "int4": 0,
-      "int4_tensor_core": null,
-      "int4_tensor_core_sparsity": null,
-      "manufacturer": "NVIDIA",
-      "architecture": "Ampere",
-      "process": null,
-      "nvidia_rt_cores": null,
-      "nvidia_rt_cores_generation": null,
-      "nvidia_tensor_cores": 432,
-      "nvidia_tensor_cores_generation": 3,
-      "nvidia_cuda_cores": 6912,
-      "gpu_memory": 40,
-      "memory_bandwidth": 1555,
-      "interconnect": "PCIe Gen4",
-      "encoders_decoders": "0, 5",
-      "cuda_compute_capability": "8.0",
-      "power_consumption": 250,
-      "die_size": null,
-      "sources": [
-         "https://www.nvidia.com/content/dam/en-zz/Solutions/Data-Center/a100/pdf/nvidia-a100-datasheet-us-nvidia-1758950-r4-web.pdf"
-      ]
-   },
-   "a100_pcie_80gb": {
-      "name": "A100 PCIe 80GB",
-      "fp64": 9.7,
-      "fp64_tensor_core": 19.5,
-      "fp32": 19.5,
-      "tf32_tensor_core": 156,
-      "tf32_tensor_core_sparsity": 312,
-      "fp16": 78,
-      "fp16_tensor_core": 312,
-      "fp16_tensor_core_sparsity": 624,
-      "bf16": null,
-      "bf16_tensor_core": 312,
-      "bf16_tensor_core_sparsity": 624,
-      "fp8": 0,
-      "fp8_tensor_core": 0,
-      "fp8_tensor_core_sparsity": 0,
-      "fp4": 0,
-      "fp4_tensor_core": 0,
-      "fp4_tensor_core_sparsity": 0,
-      "int8": null,
-      "int8_tensor_core": 624,
-      "int8_tensor_core_sparsity": 1248,
-      "int4": 0,
-      "int4_tensor_core": null,
-      "int4_tensor_core_sparsity": null,
-      "manufacturer": "NVIDIA",
-      "architecture": "Ampere",
-      "process": null,
-      "nvidia_rt_cores": null,
-      "nvidia_rt_cores_generation": null,
-      "nvidia_tensor_cores": 432,
-      "nvidia_tensor_cores_generation": 3,
-      "nvidia_cuda_cores": 6912,
-      "gpu_memory": 80,
-      "memory_bandwidth": 1935,
-      "interconnect": "PCIe Gen4",
-      "encoders_decoders": "0, 5",
-      "cuda_compute_capability": "8",
-      "power_consumption": 300,
-      "die_size": null,
-      "sources": [
-         "https://www.nvidia.com/content/dam/en-zz/Solutions/Data-Center/a100/pdf/nvidia-a100-datasheet-us-nvidia-1758950-r4-web.pdf",
-         "https://www.techpowerup.com/gpu-specs/a100-pcie-80-gb.c3821",
-         "https://developer.nvidia.com/video-encode-and-decode-gpu-support-matrix-new"
-      ]
-   },
-   "a100_sxm4_40gb": {
-      "name": "A100 SXM4 40GB",
-      "fp64": 9.7,
-      "fp64_tensor_core": 19.5,
-      "fp32": 19.5,
-      "tf32_tensor_core": 156,
-      "tf32_tensor_core_sparsity": 312,
-      "fp16": 78,
-      "fp16_tensor_core": 312,
-      "fp16_tensor_core_sparsity": 624,
-      "bf16": null,
-      "bf16_tensor_core": 312,
-      "bf16_tensor_core_sparsity": 624,
-      "fp8": 0,
-      "fp8_tensor_core": 0,
-      "fp8_tensor_core_sparsity": 0,
-      "fp4": 0,
-      "fp4_tensor_core": 0,
-      "fp4_tensor_core_sparsity": 0,
-      "int8": null,
-      "int8_tensor_core": 624,
-      "int8_tensor_core_sparsity": 1248,
-      "int4": 0,
-      "int4_tensor_core": null,
-      "int4_tensor_core_sparsity": null,
-      "manufacturer": "NVIDIA",
-      "architecture": "Ampere",
-      "process": null,
-      "nvidia_rt_cores": null,
-      "nvidia_rt_cores_generation": null,
-      "nvidia_tensor_cores": 432,
-      "nvidia_tensor_cores_generation": 3,
-      "nvidia_cuda_cores": 6912,
-      "gpu_memory": 40,
-      "memory_bandwidth": 1555,
-      "interconnect": "NVLink",
-      "encoders_decoders": "0, 5",
-      "cuda_compute_capability": "8.0",
-      "power_consumption": 400,
-      "die_size": null,
-      "sources": [
-         "https://www.nvidia.com/content/dam/en-zz/Solutions/Data-Center/a100/pdf/nvidia-a100-datasheet-us-nvidia-1758950-r4-web.pdf"
-      ]
-   },
-   "a100_sxm4_80gb": {
-      "name": "A100 SXM4 80GB",
-      "fp64": 9.7,
-      "fp64_tensor_core": 19.5,
-      "fp32": 19.5,
-      "tf32_tensor_core": 156,
-      "tf32_tensor_core_sparsity": 312,
-      "fp16": 78,
-      "fp16_tensor_core": 312,
-      "fp16_tensor_core_sparsity": 624,
-      "bf16": null,
-      "bf16_tensor_core": 312,
-      "bf16_tensor_core_sparsity": 624,
-      "fp8": 0,
-      "fp8_tensor_core": 0,
-      "fp8_tensor_core_sparsity": 0,
-      "fp4": 0,
-      "fp4_tensor_core": 0,
-      "fp4_tensor_core_sparsity": 0,
-      "int8": null,
-      "int8_tensor_core": 624,
-      "int8_tensor_core_sparsity": 1248,
-      "int4": 0,
-      "int4_tensor_core": null,
-      "int4_tensor_core_sparsity": null,
-      "manufacturer": "NVIDIA",
-      "architecture": "Ampere",
-      "process": null,
-      "nvidia_rt_cores": null,
-      "nvidia_rt_cores_generation": null,
-      "nvidia_tensor_cores": 432,
-      "nvidia_tensor_cores_generation": 3,
-      "nvidia_cuda_cores": 6912,
-      "gpu_memory": 80,
-      "memory_bandwidth": 2039,
-      "interconnect": "NVLink",
-      "encoders_decoders": "0, 5",
-      "cuda_compute_capability": "8",
-      "power_consumption": 400,
-      "die_size": null,
-      "sources": [
-         "https://www.nvidia.com/content/dam/en-zz/Solutions/Data-Center/a100/pdf/nvidia-a100-datasheet-us-nvidia-1758950-r4-web.pdf",
-         "https://www.techpowerup.com/gpu-specs/a100-pcie-80-gb.c3821",
-         "https://developer.nvidia.com/video-encode-and-decode-gpu-support-matrix-new"
-      ]
-   },
-   "a10": {
-      "name": "A10",
-      "fp64": 1,
-      "fp64_tensor_core": null,
-      "fp32": 31.2,
-      "tf32_tensor_core": 62.5,
-      "tf32_tensor_core_sparsity": 125,
-      "fp16": 31.2,
-      "fp16_tensor_core": null,
-      "fp16_tensor_core_sparsity": null,
-      "bf16": null,
-      "bf16_tensor_core": 125,
-      "bf16_tensor_core_sparsity": 250,
-      "fp8": 0,
-      "fp8_tensor_core": 0,
-      "fp8_tensor_core_sparsity": 0,
-      "fp4": 0,
-      "fp4_tensor_core": 0,
-      "fp4_tensor_core_sparsity": 0,
-      "int8": null,
-      "int8_tensor_core": 250,
-      "int8_tensor_core_sparsity": 500,
-      "int4": 0,
-      "int4_tensor_core": 500,
-      "int4_tensor_core_sparsity": 1000,
-      "manufacturer": "NVIDIA",
-      "architecture": "Ampere",
-      "process": null,
-      "nvidia_rt_cores": 72,
-      "nvidia_rt_cores_generation": 2,
-      "nvidia_tensor_cores": 288,
-      "nvidia_tensor_cores_generation": 3,
-      "nvidia_cuda_cores": 9216,
-      "gpu_memory": 24,
-      "memory_bandwidth": 600,
-      "interconnect": "PCIe Gen4",
-      "encoders_decoders": "1, 2",
-      "cuda_compute_capability": "8.6",
-      "power_consumption": 150,
-      "die_size": null,
-      "sources": [
-         "https://resources.nvidia.com/en-us-gpu/a10-datasheet-nvidia",
-         "https://www.techpowerup.com/gpu-specs/a10-pcie.c3793",
-         "https://developer.nvidia.com/video-encode-and-decode-gpu-support-matrix-new"
-      ]
-   },
-   "t4": {
-      "name": "T4",
-      "fp64": null,
-      "fp64_tensor_core": 0,
-      "fp32": 8.1,
-      "tf32_tensor_core": 0,
-      "tf32_tensor_core_sparsity": 0,
-      "fp16": 65,
-      "fp16_tensor_core": null,
-      "fp16_tensor_core_sparsity": null,
-      "bf16": 0,
-      "bf16_tensor_core": 0,
-      "bf16_tensor_core_sparsity": 0,
-      "fp8": 0,
-      "fp8_tensor_core": 0,
-      "fp8_tensor_core_sparsity": 0,
-      "fp4": 0,
-      "fp4_tensor_core": 0,
-      "fp4_tensor_core_sparsity": 0,
-      "int8": 130,
-      "int8_tensor_core": null,
-      "int8_tensor_core_sparsity": null,
-      "int4": 0,
-      "int4_tensor_core": 260,
-      "int4_tensor_core_sparsity": null,
-      "manufacturer": "NVIDIA",
-      "architecture": "Turing",
-      "process": null,
-      "nvidia_rt_cores": null,
-      "nvidia_rt_cores_generation": null,
-      "nvidia_tensor_cores": 320,
-      "nvidia_tensor_cores_generation": 2,
-      "nvidia_cuda_cores": 2560,
-      "gpu_memory": 16,
-      "memory_bandwidth": 300,
-      "interconnect": "PCIe Gen3",
-      "encoders_decoders": "1, 2",
-      "cuda_compute_capability": "7.5",
-      "power_consumption": 70,
-      "die_size": null,
-      "sources": [
-         "https://getdeploying.com/reference/cloud-gpu/nvidia-t4",
-         "https://developer.nvidia.com/video-encode-and-decode-gpu-support-matrix-new",
-         "https://www.nvidia.com/content/dam/en-zz/Solutions/design-visualization/solutions/resources/documents1/Datasheet_NVIDIA_T4_Virtualization.pdf"
-      ]
-   },
-   "quadro_rtx_5000": {
-      "name": "Quadro RTX 5000",
-      "fp64": 0.3,
-      "fp64_tensor_core": 0,
-      "fp32": 11.2,
-      "tf32_tensor_core": 0,
-      "tf32_tensor_core_sparsity": 0,
-      "fp16": 22.3,
-      "fp16_tensor_core": null,
-      "fp16_tensor_core_sparsity": null,
-      "bf16": 0,
-      "bf16_tensor_core": 0,
-      "bf16_tensor_core_sparsity": 0,
-      "fp8": 0,
-      "fp8_tensor_core": 0,
-      "fp8_tensor_core_sparsity": 0,
-      "fp4": 0,
-      "fp4_tensor_core": 0,
-      "fp4_tensor_core_sparsity": 0,
-      "int8": null,
-      "int8_tensor_core": null,
-      "int8_tensor_core_sparsity": null,
-      "int4": 0,
-      "int4_tensor_core": null,
-      "int4_tensor_core_sparsity": null,
-      "manufacturer": "NVIDIA",
-      "architecture": "Turing",
-      "process": null,
-      "nvidia_rt_cores": 48,
-      "nvidia_rt_cores_generation": null,
-      "nvidia_tensor_cores": 384,
-      "nvidia_tensor_cores_generation": 2,
-      "nvidia_cuda_cores": 3072,
-      "gpu_memory": 16,
-      "memory_bandwidth": 448,
-      "interconnect": "PCIe Gen3",
-      "encoders_decoders": "1, 2",
-      "cuda_compute_capability": "7.5",
-      "power_consumption": 230,
-      "die_size": null,
-      "sources": [
-         "https://www.nvidia.com/content/dam/en-zz/Solutions/design-visualization/quadro-product-literature/quadro-rtx-5000-data-sheet-us-nvidia-704120-r4-web.pdf",
-         "https://www.techpowerup.com/gpu-specs/quadro-rtx-5000.c3308"
-      ]
-   },
-   "v100_pcie": {
-      "name": "V100 PCIe",
-      "fp64": 7.1,
-      "fp64_tensor_core": 0,
-      "fp32": 14.1,
-      "tf32_tensor_core": 112,
-      "tf32_tensor_core_sparsity": 0,
-      "fp16": 28.3,
-      "fp16_tensor_core": 112,
-      "fp16_tensor_core_sparsity": null,
-      "bf16": 0,
-      "bf16_tensor_core": 0,
-      "bf16_tensor_core_sparsity": 0,
-      "fp8": 0,
-      "fp8_tensor_core": 0,
-      "fp8_tensor_core_sparsity": 0,
-      "fp4": 0,
-      "fp4_tensor_core": 0,
-      "fp4_tensor_core_sparsity": 0,
-      "int8": null,
-      "int8_tensor_core": 0,
-      "int8_tensor_core_sparsity": 0,
-      "int4": 0,
-      "int4_tensor_core": 0,
-      "int4_tensor_core_sparsity": 0,
-      "manufacturer": "NVIDIA",
-      "architecture": "Volta",
-      "process": null,
-      "nvidia_rt_cores": 0,
-      "nvidia_tensor_cores": 640,
-      "nvidia_tensor_cores_generation": 1,
-      "nvidia_cuda_cores": 5120,
-      "gpu_memory": "16/32",
-      "memory_bandwidth": 900,
-      "interconnect": "PCIe Gen3",
-      "encoders_decoders": "3, 1",
-      "cuda_compute_capability": "7",
-      "power_consumption": 250,
-      "die_size": null,
-      "sources": [
-         "https://images.nvidia.com/content/technologies/volta/pdf/volta-v100-datasheet-update-us-1165301-r5.pdf",
-         "https://www.techpowerup.com/gpu-specs/tesla-v100-pcie-32-gb.c3184",
-         "https://developer.nvidia.com/video-encode-and-decode-gpu-support-matrix-new"
-      ]
-   },
-   "v100_sxm2": {
-      "name": "V100 SXM2",
-      "fp64": 7.8,
-      "fp64_tensor_core": 0,
-      "fp32": 15.7,
-      "tf32_tensor_core": 125,
-      "tf32_tensor_core_sparsity": 0,
-      "fp16": 31.3,
-      "fp16_tensor_core": 125,
-      "fp16_tensor_core_sparsity": null,
-      "bf16": 0,
-      "bf16_tensor_core": 0,
-      "bf16_tensor_core_sparsity": 0,
-      "fp8": 0,
-      "fp8_tensor_core": 0,
-      "fp8_tensor_core_sparsity": 0,
-      "fp4": 0,
-      "fp4_tensor_core": 0,
-      "fp4_tensor_core_sparsity": 0,
-      "int8": null,
-      "int8_tensor_core": 0,
-      "int8_tensor_core_sparsity": 0,
-      "int4": 0,
-      "int4_tensor_core": 0,
-      "int4_tensor_core_sparsity": 0,
-      "manufacturer": "NVIDIA",
-      "architecture": "Volta",
-      "process": null,
-      "nvidia_rt_cores": 0,
-      "nvidia_tensor_cores": 640,
-      "nvidia_tensor_cores_generation": 1,
-      "nvidia_cuda_cores": 5120,
-      "gpu_memory": "16/32",
-      "memory_bandwidth": 900,
-      "interconnect": "NVLink",
-      "encoders_decoders": "3, 1",
-      "cuda_compute_capability": "7",
-      "power_consumption": 300,
-      "die_size": null,
-      "sources": [
-         "https://images.nvidia.com/content/technologies/volta/pdf/volta-v100-datasheet-update-us-1165301-r5.pdf",
-         "https://www.techpowerup.com/gpu-specs/tesla-v100-sxm2-16-gb.c3018",
-         "https://www.techpowerup.com/gpu-specs/tesla-v100-sxm2-32-gb.c3183",
-         "https://developer.nvidia.com/video-encode-and-decode-gpu-support-matrix-new"
-      ]
-   },
-   "v100s_pcie": {
-      "name": "V100S PCIe",
-      "fp64": 8.2,
-      "fp64_tensor_core": 0,
-      "fp32": 16.4,
-      "tf32_tensor_core": 0,
-      "tf32_tensor_core_sparsity": 0,
-      "fp16": 32.8,
-      "fp16_tensor_core": 130,
-      "fp16_tensor_core_sparsity": null,
-      "bf16": 0,
-      "bf16_tensor_core": 0,
-      "bf16_tensor_core_sparsity": 0,
-      "fp8": 0,
-      "fp8_tensor_core": 0,
-      "fp8_tensor_core_sparsity": 0,
-      "fp4": 0,
-      "fp4_tensor_core": 0,
-      "fp4_tensor_core_sparsity": 0,
-      "int8": null,
-      "int8_tensor_core": 0,
-      "int8_tensor_core_sparsity": 0,
-      "int4": 0,
-      "int4_tensor_core": 0,
-      "int4_tensor_core_sparsity": 0,
-      "manufacturer": "NVIDIA",
-      "architecture": "Volta",
-      "process": null,
-      "nvidia_rt_cores": 0,
-      "nvidia_tensor_cores": 640,
-      "nvidia_tensor_cores_generation": 1,
-      "nvidia_cuda_cores": 5120,
-      "gpu_memory": 32,
-      "memory_bandwidth": 1134,
-      "interconnect": "PCIe Gen3",
-      "encoders_decoders": "3, 1",
-      "cuda_compute_capability": "7",
-      "power_consumption": 250,
-      "die_size": null,
-      "sources": [
-         "https://images.nvidia.com/content/technologies/volta/pdf/volta-v100-datasheet-update-us-1165301-r5.pdf",
-         "https://www.techpowerup.com/gpu-specs/tesla-v100s-pcie-32-gb.c3584",
-         "https://developer.nvidia.com/video-encode-and-decode-gpu-support-matrix-new"
-      ]
-   }
-}
+    "_header": {
+        "name": { "full_name": "GPU Name" },
+        "fp64": { "full_name": "FP64", "unit": "TFLOPS" },
+        "fp64_tensor_core": { "full_name": "FP64 Tensor Core", "unit": "TFLOPS" },
+        "fp32": { "full_name": "FP32", "unit": "TFLOPS" },
+        "tf32_tensor_core": { "full_name": "TF32 Tensor Core", "unit": "TFLOPS" },
+        "tf32_tensor_core_sparsity": { "full_name": "TF32 Tensor Core with Sparsity", "unit": "TFLOPS" },
+        "fp16": { "full_name": "FP16", "unit": "TFLOPS" },
+        "fp16_tensor_core": { "full_name": "FP16 Tensor Core", "unit": "TFLOPS" },
+        "fp16_tensor_core_sparsity": { "full_name": "FP16 Tensor Core with Sparsity", "unit": "TFLOPS" },
+        "bf16_tensor_core": { "full_name": "BF16 Tensor Core", "unit": "TFLOPS" },
+        "bf16_tensor_core_sparsity": { "full_name": "BF16 Tensor Core with Sparsity", "unit": "TFLOPS" },
+        "fp8_tensor_core": { "full_name": "FP8 Tensor Core", "unit": "TFLOPS" },
+        "fp8_tensor_core_sparsity": { "full_name": "FP8 Tensor Core with Sparsity", "unit": "TFLOPS" },
+        "fp4_tensor_core": { "full_name": "FP4 Tensor Core", "unit": "TFLOPS" },
+        "fp4_tensor_core_sparsity": { "full_name": "FP4 Tensor Core with Sparsity", "unit": "TFLOPS" },
+        "int8_tensor_core": { "full_name": "INT8 Tensor Core", "unit": "TOPS" },
+        "int8_tensor_core_sparsity": { "full_name": "INT8 Tensor Core with Sparsity", "unit": "TOPS" },
+        "int4_tensor_core": { "full_name": "INT4 Tensor Core", "unit": "TOPS" },
+        "int4_tensor_core_sparsity": { "full_name": "INT4 Tensor Core with Sparsity", "unit": "TOPS" },
+        "manufacturer": { "full_name": "Manufacturer" },
+        "architecture": { "full_name": "Architecture" },
+        "process": { "full_name": "Manufacturing Process" },
+        "nvidia_rt_cores": { "full_name": "NVIDIA RT Cores"},
+        "nvidia_rt_cores_generation": { "full_name": "NVIDIA RT Cores Generation"},
+        "nvidia_tensor_cores": { "full_name": "NVIDIA Tensor Cores" },
+        "nvidia_tensor_cores_generation": { "full_name": "NVIDIA Tensor Cores Generation" },
+        "nvidia_cuda_cores": { "full_name": "NVIDIA CUDA Cores" },
+        "gpu_memory": { "full_name": "GPU Memory", "unit": "GB" },
+        "memory_type": { "full_name": "Memory Type" },
+        "memory_bandwidth": { "full_name": "Memory Bandwidth", "unit": "GB/s" },
+        "interconnect": { "full_name": "Interconnect Type" },
+        "encoders_decoders": { "full_name": "Encoders and Decoders" },
+        "cuda_compute_capability": { "full_name": "CUDA Compute Capability" },
+        "power_consumption": { "full_name": "Power Consumption", "unit": "W" },
+        "die_size": { "full_name": "Die Size", "unit": "mm2" }
+    },
+    "h100": {
+        "name": "H100",
+        "fp64": 25.6,
+        "fp64_tensor_core": 51,
+        "fp32": 51.2,
+        "tf32_tensor_core": null,
+        "tf32_tensor_core_sparsity": 756,
+        "fp16": 204.9,
+        "fp16_tensor_core": null,
+        "fp16_tensor_core_sparsity": null,
+        "bf16_tensor_core": null,
+        "bf16_tensor_core_sparsity": 1513,
+        "fp8_tensor_core": null,
+        "fp8_tensor_core_sparsity": 3026,
+        "fp4_tensor_core": 0,
+        "fp4_tensor_core_sparsity": 0,
+        "int8_tensor_core": null,
+        "int8_tensor_core_sparsity": 3026,
+        "int4_tensor_core": null,
+        "int4_tensor_core_sparsity": null,
+        "manufacturer": "NVIDIA",
+        "architecture": "Hopper",
+        "process": null,
+        "nvidia_rt_cores": null,
+        "nvidia_rt_cores_generation": null,
+        "nvidia_tensor_cores": 456,
+        "nvidia_tensor_cores_generation": 4,
+        "nvidia_cuda_cores": 14592,
+        "gpu_memory": 80,
+        "memory_type": "HBM2e",
+        "memory_bandwidth": 2048,
+        "interconnect": "PCIe Gen5",
+        "encoders_decoders": "0, 7",
+        "cuda_compute_capability": "9",
+        "power_consumption": 350,
+        "die_size": null,
+        "sources": [
+            "https://getdeploying.com/reference/cloud-gpu/nvidia-h100",
+            "https://www.techpowerup.com/gpu-specs/h100-pcie-80-gb.c3899",
+            "https://developer.nvidia.com/video-encode-and-decode-gpu-support-matrix-new"
+        ]
+    },
+    "l40s": {
+        "name": "L40S",
+        "fp64": 1.4,
+        "fp64_tensor_core": 1.4,
+        "fp32": 91.6,
+        "tf32_tensor_core": 183,
+        "tf32_tensor_core_sparsity": 366,
+        "fp16": 91.6,
+        "fp16_tensor_core": 362,
+        "fp16_tensor_core_sparsity": 733,
+        "bf16_tensor_core": 362,
+        "bf16_tensor_core_sparsity": 733,
+        "fp8_tensor_core": 733,
+        "fp8_tensor_core_sparsity": 1466,
+        "fp4_tensor_core": 0,
+        "fp4_tensor_core_sparsity": 0,
+        "int8_tensor_core": 733,
+        "int8_tensor_core_sparsity": 1466,
+        "int4_tensor_core": 733,
+        "int4_tensor_core_sparsity": 1466,
+        "manufacturer": "NVIDIA",
+        "architecture": "Ada Lovelace",
+        "process": null,
+        "nvidia_rt_cores": 142,
+        "nvidia_rt_cores_generation": 3,
+        "nvidia_tensor_cores": 568,
+        "nvidia_tensor_cores_generation": 4,
+        "nvidia_cuda_cores": 18176,
+        "gpu_memory": 48,
+        "memory_type": "GDDR6",
+        "memory_bandwidth": 864,
+        "interconnect": "PCIe Gen4",
+        "encoders_decoders": "3, 3",
+        "cuda_compute_capability": "8.9",
+        "power_consumption": 300,
+        "die_size": null,
+        "sources": [
+            "https://resources.nvidia.com/en-us-l40s/l40s-datasheet-28413",
+            "https://images.nvidia.com/aem-dam/Solutions/geforce/ada/nvidia-ada-gpu-architecture.pdf"
+        ]
+    },
+    "l4": {
+        "name": "L4",
+        "fp64": 0.5,
+        "fp64_tensor_core": 0.5,
+        "fp32": 30.3,
+        "tf32_tensor_core": 60,
+        "tf32_tensor_core_sparsity": 120,
+        "fp16": 30.3,
+        "fp16_tensor_core": 121,
+        "fp16_tensor_core_sparsity": 242,
+        "bf16_tensor_core": 121,
+        "bf16_tensor_core_sparsity": 242,
+        "fp8_tensor_core": 242,
+        "fp8_tensor_core_sparsity": 485,
+        "fp4_tensor_core": 0,
+        "fp4_tensor_core_sparsity": 0,
+        "int8_tensor_core": 242,
+        "int8_tensor_core_sparsity": 485,
+        "int4_tensor_core": null,
+        "int4_tensor_core_sparsity": null,
+        "manufacturer": "NVIDIA",
+        "architecture": "Ada Lovelace",
+        "process": null,
+        "nvidia_rt_cores": 60,
+        "nvidia_rt_cores_generation": 3,
+        "nvidia_tensor_cores": 240,
+        "nvidia_tensor_cores_generation": 4,
+        "nvidia_cuda_cores": 7424,
+        "gpu_memory": 24,
+        "memory_type": "GDDR6",
+        "memory_bandwidth": 300,
+        "interconnect": "PCIe Gen4",
+        "encoders_decoders": "2, 4",
+        "cuda_compute_capability": "8.9",
+        "power_consumption": 72,
+        "die_size": null,
+        "sources": [
+            "https://resources.nvidia.com/en-us-data-center-overview/l4-gpu-datasheet",
+            "https://images.nvidia.com/aem-dam/Solutions/geforce/ada/nvidia-ada-gpu-architecture.pdf"
+        ]
+    },
+    "rtx4090": {
+        "name": "GeForce RTX 4090",
+        "fp64": 1.3,
+        "fp64_tensor_core": 1.3,
+        "fp32": 82.6,
+        "tf32_tensor_core": 82.6,
+        "tf32_tensor_core_sparsity": 165.2,
+        "fp16": 82.6,
+        "fp16_tensor_core": 330.3,
+        "fp16_tensor_core_sparsity": 660.6,
+        "bf16_tensor_core": 165.2,
+        "bf16_tensor_core_sparsity": 330.4,
+        "fp8_tensor_core": 660.6,
+        "fp8_tensor_core_sparsity": 1321.2,
+        "fp4_tensor_core": 0,
+        "fp4_tensor_core_sparsity": 0,
+        "int8_tensor_core": 660.6,
+        "int8_tensor_core_sparsity": 1321.2,
+        "int4_tensor_core": 1321.2,
+        "int4_tensor_core_sparsity": 2642.4,
+        "manufacturer": "NVIDIA",
+        "architecture": "Ada Lovelace",
+        "process": "TSMC 4N",
+        "nvidia_rt_cores": 128,
+        "nvidia_rt_cores_generation": 3,
+        "nvidia_tensor_cores": 512,
+        "nvidia_tensor_cores_generation": 4,
+        "nvidia_cuda_cores": 16384,
+        "gpu_memory": 24,
+        "memory_type": "GDDR6X",
+        "memory_bandwidth": 1008,
+        "interconnect": "PCIe Gen4",
+        "encoders_decoders": "2, 1",
+        "cuda_compute_capability": "8.9",
+        "power_consumption": 450,
+        "die_size": 608.5,
+        "sources": [
+            "https://www.techpowerup.com/gpu-specs/geforce-rtx-4090.c3889",
+            "https://images.nvidia.com/aem-dam/Solutions/geforce/ada/nvidia-ada-gpu-architecture.pdf",
+            "https://developer.nvidia.com/cuda-gpus"
+        ]
+    },
+    "a100_pcie_40gb": {
+        "name": "A100 PCIe 40GB",
+        "fp64": 9.7,
+        "fp64_tensor_core": 19.5,
+        "fp32": 19.5,
+        "tf32_tensor_core": 156,
+        "tf32_tensor_core_sparsity": 312,
+        "fp16": 78,
+        "fp16_tensor_core": 312,
+        "fp16_tensor_core_sparsity": 624,
+        "bf16_tensor_core": 312,
+        "bf16_tensor_core_sparsity": 624,
+        "fp8_tensor_core": 0,
+        "fp8_tensor_core_sparsity": 0,
+        "fp4_tensor_core": 0,
+        "fp4_tensor_core_sparsity": 0,
+        "int8_tensor_core": 624,
+        "int8_tensor_core_sparsity": 1248,
+        "int4_tensor_core": null,
+        "int4_tensor_core_sparsity": null,
+        "manufacturer": "NVIDIA",
+        "architecture": "Ampere",
+        "process": null,
+        "nvidia_rt_cores": null,
+        "nvidia_rt_cores_generation": null,
+        "nvidia_tensor_cores": 432,
+        "nvidia_tensor_cores_generation": 3,
+        "nvidia_cuda_cores": 6912,
+        "gpu_memory": 40,
+        "memory_type": "HBM2e",
+        "memory_bandwidth": 1555,
+        "interconnect": "PCIe Gen4",
+        "encoders_decoders": "0, 5",
+        "cuda_compute_capability": "8.0",
+        "power_consumption": 250,
+        "die_size": null,
+        "sources": [
+            "https://www.nvidia.com/content/dam/en-zz/Solutions/Data-Center/a100/pdf/nvidia-a100-datasheet-us-nvidia-1758950-r4-web.pdf"
+        ]
+    },
+    "a100_pcie_80gb": {
+        "name": "A100 PCIe 80GB",
+        "fp64": 9.7,
+        "fp64_tensor_core": 19.5,
+        "fp32": 19.5,
+        "tf32_tensor_core": 156,
+        "tf32_tensor_core_sparsity": 312,
+        "fp16": 78,
+        "fp16_tensor_core": 312,
+        "fp16_tensor_core_sparsity": 624,
+        "bf16_tensor_core": 312,
+        "bf16_tensor_core_sparsity": 624,
+        "fp8_tensor_core": 0,
+        "fp8_tensor_core_sparsity": 0,
+        "fp4_tensor_core": 0,
+        "fp4_tensor_core_sparsity": 0,
+        "int8_tensor_core": 624,
+        "int8_tensor_core_sparsity": 1248,
+        "int4_tensor_core": null,
+        "int4_tensor_core_sparsity": null,
+        "manufacturer": "NVIDIA",
+        "architecture": "Ampere",
+        "process": null,
+        "nvidia_rt_cores": null,
+        "nvidia_rt_cores_generation": null,
+        "nvidia_tensor_cores": 432,
+        "nvidia_tensor_cores_generation": 3,
+        "nvidia_cuda_cores": 6912,
+        "gpu_memory": 80,
+        "memory_type": "HBM2e",
+        "memory_bandwidth": 1935,
+        "interconnect": "PCIe Gen4",
+        "encoders_decoders": "0, 5",
+        "cuda_compute_capability": "8",
+        "power_consumption": 300,
+        "die_size": null,
+        "sources": [
+            "https://www.nvidia.com/content/dam/en-zz/Solutions/Data-Center/a100/pdf/nvidia-a100-datasheet-us-nvidia-1758950-r4-web.pdf",
+            "https://developer.nvidia.com/video-encode-and-decode-gpu-support-matrix-new"
+        ]
+    },
+    "a100_sxm4_40gb": {
+        "name": "A100 SXM4 40GB",
+        "fp64": 9.7,
+        "fp64_tensor_core": 19.5,
+        "fp32": 19.5,
+        "tf32_tensor_core": 156,
+        "tf32_tensor_core_sparsity": 312,
+        "fp16": 78,
+        "fp16_tensor_core": 312,
+        "fp16_tensor_core_sparsity": 624,
+        "bf16_tensor_core": 312,
+        "bf16_tensor_core_sparsity": 624,
+        "fp8_tensor_core": 0,
+        "fp8_tensor_core_sparsity": 0,
+        "fp4_tensor_core": 0,
+        "fp4_tensor_core_sparsity": 0,
+        "int8_tensor_core": 624,
+        "int8_tensor_core_sparsity": 1248,
+        "int4_tensor_core": null,
+        "int4_tensor_core_sparsity": null,
+        "manufacturer": "NVIDIA",
+        "architecture": "Ampere",
+        "process": null,
+        "nvidia_rt_cores": null,
+        "nvidia_rt_cores_generation": null,
+        "nvidia_tensor_cores": 432,
+        "nvidia_tensor_cores_generation": 3,
+        "nvidia_cuda_cores": 6912,
+        "gpu_memory": 40,
+        "memory_type": "HBM2e",
+        "memory_bandwidth": 1555,
+        "interconnect": "NVLink",
+        "encoders_decoders": "0, 5",
+        "cuda_compute_capability": "8.0",
+        "power_consumption": 400,
+        "die_size": null,
+        "sources": [
+            "https://www.nvidia.com/content/dam/en-zz/Solutions/Data-Center/a100/pdf/nvidia-a100-datasheet-us-nvidia-1758950-r4-web.pdf"
+        ]
+    },
+    "a100_sxm4_80gb": {
+        "name": "A100 SXM4 80GB",
+        "fp64": 9.7,
+        "fp64_tensor_core": 19.5,
+        "fp32": 19.5,
+        "tf32_tensor_core": 156,
+        "tf32_tensor_core_sparsity": 312,
+        "fp16": 78,
+        "fp16_tensor_core": 312,
+        "fp16_tensor_core_sparsity": 624,
+        "bf16_tensor_core": 312,
+        "bf16_tensor_core_sparsity": 624,
+        "fp8_tensor_core": 0,
+        "fp8_tensor_core_sparsity": 0,
+        "fp4_tensor_core": 0,
+        "fp4_tensor_core_sparsity": 0,
+        "int8_tensor_core": 624,
+        "int8_tensor_core_sparsity": 1248,
+        "int4_tensor_core": null,
+        "int4_tensor_core_sparsity": null,
+        "manufacturer": "NVIDIA",
+        "architecture": "Ampere",
+        "process": null,
+        "nvidia_rt_cores": null,
+        "nvidia_rt_cores_generation": null,
+        "nvidia_tensor_cores": 432,
+        "nvidia_tensor_cores_generation": 3,
+        "nvidia_cuda_cores": 6912,
+        "gpu_memory": 80,
+        "memory_type": "HBM2e",
+        "memory_bandwidth": 2039,
+        "interconnect": "NVLink",
+        "encoders_decoders": "0, 5",
+        "cuda_compute_capability": "8",
+        "power_consumption": 400,
+        "die_size": null,
+        "sources": [
+            "https://www.nvidia.com/content/dam/en-zz/Solutions/Data-Center/a100/pdf/nvidia-a100-datasheet-us-nvidia-1758950-r4-web.pdf",
+            "https://developer.nvidia.com/video-encode-and-decode-gpu-support-matrix-new"
+        ]
+    },
+    "a10": {
+        "name": "A10",
+        "fp64": 0.5,
+        "fp64_tensor_core": 0.5,
+        "fp32": 31.2,
+        "tf32_tensor_core": 62.5,
+        "tf32_tensor_core_sparsity": 125,
+        "fp16": 31.2,
+        "fp16_tensor_core": null,
+        "fp16_tensor_core_sparsity": null,
+        "bf16_tensor_core": 125,
+        "bf16_tensor_core_sparsity": 250,
+        "fp8_tensor_core": 0,
+        "fp8_tensor_core_sparsity": 0,
+        "fp4_tensor_core": 0,
+        "fp4_tensor_core_sparsity": 0,
+        "int8_tensor_core": 250,
+        "int8_tensor_core_sparsity": 500,
+        "int4_tensor_core": 500,
+        "int4_tensor_core_sparsity": 1000,
+        "manufacturer": "NVIDIA",
+        "architecture": "Ampere",
+        "process": null,
+        "nvidia_rt_cores": 72,
+        "nvidia_rt_cores_generation": 2,
+        "nvidia_tensor_cores": 288,
+        "nvidia_tensor_cores_generation": 3,
+        "nvidia_cuda_cores": 9216,
+        "gpu_memory": 24,
+        "memory_type": "GDDR6",
+        "memory_bandwidth": 600,
+        "interconnect": "PCIe Gen4",
+        "encoders_decoders": "1, 2",
+        "cuda_compute_capability": "8.6",
+        "power_consumption": 150,
+        "die_size": null,
+        "sources": [
+            "https://resources.nvidia.com/en-us-gpu/a10-datasheet-nvidia",
+            "https://www.nvidia.com/content/PDF/nvidia-ampere-ga-102-gpu-architecture-whitepaper-v2.1.pdf",
+            "https://developer.nvidia.com/video-encode-and-decode-gpu-support-matrix-new"
+        ]
+    },
+    "t4": {
+        "name": "T4",
+        "fp64": 0.2,
+        "fp64_tensor_core": 0,
+        "fp32": 8.1,
+        "tf32_tensor_core": 0,
+        "tf32_tensor_core_sparsity": 0,
+        "fp16": 65,
+        "fp16_tensor_core": null,
+        "fp16_tensor_core_sparsity": null,
+        "bf16_tensor_core": 0,
+        "bf16_tensor_core_sparsity": 0,
+        "fp8_tensor_core": 0,
+        "fp8_tensor_core_sparsity": 0,
+        "fp4_tensor_core": 0,
+        "fp4_tensor_core_sparsity": 0,
+        "int8_tensor_core": 130,
+        "int8_tensor_core_sparsity": null,
+        "int4_tensor_core": 260,
+        "int4_tensor_core_sparsity": null,
+        "manufacturer": "NVIDIA",
+        "architecture": "Turing",
+        "process": null,
+        "nvidia_rt_cores": null,
+        "nvidia_rt_cores_generation": null,
+        "nvidia_tensor_cores": 320,
+        "nvidia_tensor_cores_generation": 2,
+        "nvidia_cuda_cores": 2560,
+        "gpu_memory": 16,
+        "memory_type": "GDDR6",
+        "memory_bandwidth": 300,
+        "interconnect": "PCIe Gen3",
+        "encoders_decoders": "1, 2",
+        "cuda_compute_capability": "7.5",
+        "power_consumption": 70,
+        "die_size": null,
+        "sources": [
+            "https://getdeploying.com/reference/cloud-gpu/nvidia-t4",
+            "https://images.nvidia.com/aem-dam/en-zz/Solutions/design-visualization/technologies/turing-architecture/NVIDIA-Turing-Architecture-Whitepaper.pdf",
+            "https://developer.nvidia.com/video-encode-and-decode-gpu-support-matrix-new",
+            "https://www.nvidia.com/content/dam/en-zz/Solutions/design-visualization/solutions/resources/documents1/Datasheet_NVIDIA_T4_Virtualization.pdf"
+        ]
+    },
+    "quadro_rtx_5000": {
+        "name": "Quadro RTX 5000",
+        "fp64": 0.3,
+        "fp64_tensor_core": 0,
+        "fp32": 11.2,
+        "tf32_tensor_core": 0,
+        "tf32_tensor_core_sparsity": 0,
+        "fp16": 22.3,
+        "fp16_tensor_core": null,
+        "fp16_tensor_core_sparsity": null,
+        "bf16_tensor_core": 0,
+        "bf16_tensor_core_sparsity": 0,
+        "fp8_tensor_core": 0,
+        "fp8_tensor_core_sparsity": 0,
+        "fp4_tensor_core": 0,
+        "fp4_tensor_core_sparsity": 0,
+        "int8_tensor_core": null,
+        "int8_tensor_core_sparsity": null,
+        "int4_tensor_core": null,
+        "int4_tensor_core_sparsity": null,
+        "manufacturer": "NVIDIA",
+        "architecture": "Turing",
+        "process": null,
+        "nvidia_rt_cores": 48,
+        "nvidia_rt_cores_generation": null,
+        "nvidia_tensor_cores": 384,
+        "nvidia_tensor_cores_generation": 2,
+        "nvidia_cuda_cores": 3072,
+        "gpu_memory": 16,
+        "memory_type": "GDDR6",
+        "memory_bandwidth": 448,
+        "interconnect": "PCIe Gen3",
+        "encoders_decoders": "1, 2",
+        "cuda_compute_capability": "7.5",
+        "power_consumption": 230,
+        "die_size": null,
+        "sources": [
+            "https://www.nvidia.com/content/dam/en-zz/Solutions/design-visualization/quadro-product-literature/quadro-rtx-5000-data-sheet-us-nvidia-704120-r4-web.pdf",
+            "https://images.nvidia.com/aem-dam/en-zz/Solutions/design-visualization/technologies/turing-architecture/NVIDIA-Turing-Architecture-Whitepaper.pdf"
+
+        ]
+    },
+    "v100_pcie": {
+        "name": "V100 PCIe",
+        "fp64": 7.1,
+        "fp64_tensor_core": 0,
+        "fp32": 14.1,
+        "tf32_tensor_core": 112,
+        "tf32_tensor_core_sparsity": 0,
+        "fp16": 28.3,
+        "fp16_tensor_core": 112,
+        "fp16_tensor_core_sparsity": null,
+        "bf16_tensor_core": 0,
+        "bf16_tensor_core_sparsity": 0,
+        "fp8_tensor_core": 0,
+        "fp8_tensor_core_sparsity": 0,
+        "fp4_tensor_core": 0,
+        "fp4_tensor_core_sparsity": 0,
+        "int8_tensor_core": 0,
+        "int8_tensor_core_sparsity": 0,
+        "int4_tensor_core": 0,
+        "int4_tensor_core_sparsity": 0,
+        "manufacturer": "NVIDIA",
+        "architecture": "Volta",
+        "process": null,
+        "nvidia_rt_cores": 0,
+        "nvidia_tensor_cores": 640,
+        "nvidia_tensor_cores_generation": 1,
+        "nvidia_cuda_cores": 5120,
+        "gpu_memory": "16/32",
+        "memory_type": "HBM2",
+        "memory_bandwidth": 900,
+        "interconnect": "PCIe Gen3",
+        "encoders_decoders": "3, 1",
+        "cuda_compute_capability": "7",
+        "power_consumption": 250,
+        "die_size": null,
+        "sources": [
+            "https://images.nvidia.com/content/technologies/volta/pdf/volta-v100-datasheet-update-us-1165301-r5.pdf",
+            "https://www.techpowerup.com/gpu-specs/tesla-v100-pcie-32-gb.c3184",
+            "https://developer.nvidia.com/video-encode-and-decode-gpu-support-matrix-new"
+        ]
+    },
+    "v100_sxm2": {
+        "name": "V100 SXM2",
+        "fp64": 7.8,
+        "fp64_tensor_core": 0,
+        "fp32": 15.7,
+        "tf32_tensor_core": 125,
+        "tf32_tensor_core_sparsity": 0,
+        "fp16": 31.3,
+        "fp16_tensor_core": 125,
+        "fp16_tensor_core_sparsity": null,
+        "bf16_tensor_core": 0,
+        "bf16_tensor_core_sparsity": 0,
+        "fp8_tensor_core": 0,
+        "fp8_tensor_core_sparsity": 0,
+        "fp4_tensor_core": 0,
+        "fp4_tensor_core_sparsity": 0,
+        "int8_tensor_core": 0,
+        "int8_tensor_core_sparsity": 0,
+        "int4_tensor_core": 0,
+        "int4_tensor_core_sparsity": 0,
+        "manufacturer": "NVIDIA",
+        "architecture": "Volta",
+        "process": null,
+        "nvidia_rt_cores": 0,
+        "nvidia_tensor_cores": 640,
+        "nvidia_tensor_cores_generation": 1,
+        "nvidia_cuda_cores": 5120,
+        "gpu_memory": "16/32",
+        "memory_type": "HBM2",
+        "memory_bandwidth": 900,
+        "interconnect": "NVLink",
+        "encoders_decoders": "3, 1",
+        "cuda_compute_capability": "7",
+        "power_consumption": 300,
+        "die_size": null,
+        "sources": [
+            "https://images.nvidia.com/content/technologies/volta/pdf/volta-v100-datasheet-update-us-1165301-r5.pdf",
+            "https://www.techpowerup.com/gpu-specs/tesla-v100-sxm2-16-gb.c3018",
+            "https://www.techpowerup.com/gpu-specs/tesla-v100-sxm2-32-gb.c3183",
+            "https://developer.nvidia.com/video-encode-and-decode-gpu-support-matrix-new"
+        ]
+    },
+    "v100s_pcie": {
+        "name": "V100S PCIe",
+        "fp64": 8.2,
+        "fp64_tensor_core": 0,
+        "fp32": 16.4,
+        "tf32_tensor_core": 0,
+        "tf32_tensor_core_sparsity": 0,
+        "fp16": 32.8,
+        "fp16_tensor_core": 130,
+        "fp16_tensor_core_sparsity": null,
+        "bf16_tensor_core": 0,
+        "bf16_tensor_core_sparsity": 0,
+        "fp8_tensor_core": 0,
+        "fp8_tensor_core_sparsity": 0,
+        "fp4_tensor_core": 0,
+        "fp4_tensor_core_sparsity": 0,
+        "int8_tensor_core": 0,
+        "int8_tensor_core_sparsity": 0,
+        "int4_tensor_core": 0,
+        "int4_tensor_core_sparsity": 0,
+        "manufacturer": "NVIDIA",
+        "architecture": "Volta",
+        "process": null,
+        "nvidia_rt_cores": 0,
+        "nvidia_tensor_cores": 640,
+        "nvidia_tensor_cores_generation": 1,
+        "nvidia_cuda_cores": 5120,
+        "gpu_memory": 32,
+        "memory_type": "HBM2",
+        "memory_bandwidth": 1134,
+        "interconnect": "PCIe Gen3",
+        "encoders_decoders": "3, 1",
+        "cuda_compute_capability": "7",
+        "power_consumption": 250,
+        "die_size": null,
+        "sources": [
+            "https://images.nvidia.com/content/technologies/volta/pdf/volta-v100-datasheet-update-us-1165301-r5.pdf",
+            "https://www.techpowerup.com/gpu-specs/tesla-v100s-pcie-32-gb.c3584",
+            "https://developer.nvidia.com/video-encode-and-decode-gpu-support-matrix-new"
+        ]
+    }
+}
\ No newline at end of file
diff --git a/site/index.html b/site/index.html
index 9dec78e..45aa948 100644
--- a/site/index.html
+++ b/site/index.html
@@ -55,7 +55,7 @@
         .colHeader {
             font-weight: bold;
         }
-        .precision-FP32, .precision-TF32, .precision-FP8, .precision-INT4 {
+        .precision-FP32, .precision-TF32, .precision-FP8, .precision-INT8 {
             background-color: #f0f0f0 !important; /* alternate backgound color */
         }
         .architecture-details {
@@ -64,7 +64,7 @@
         .architecture-details-border {
             border-top: 1px solid #00acee !important;
         }
-        .precision-FP32, .precision-TF32, .precision-FP8, .precision-INT4 {
+        .precision-FP32, .precision-TF32, .precision-FP8, .precision-INT8 {
             background-color: #f0f0f0 !important; /* alternate backgound color */
         }
     </style>
diff --git a/specs.md b/specs.md
index c863676..13d2947 100644
--- a/specs.md
+++ b/specs.md
@@ -2,27 +2,22 @@
 
 Attribute (Unit) | H100 | L40S | L4 | GeForce RTX 4090 | A100 PCIe 40GB | A100 PCIe 80GB | A100 SXM4 40GB | A100 SXM4 80GB | A10 | T4 | Quadro RTX 5000 | V100 PCIe | V100 SXM2 | V100S PCIe
 --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | ---
-FP64 (TFLOPS) | 25.6 | 1.4 | 0.5 | 1.3 | 9.7 | 9.7 | 9.7 | 9.7 | 1 | ? | 0.3 | 7.1 | 7.8 | 8.2
-FP64 Tensor Core (TFLOPS) | 51 | ? | ? | ? | 19.5 | 19.5 | 19.5 | 19.5 | ? | N/A | N/A | N/A | N/A | N/A
+FP64 (TFLOPS) | 25.6 | 1.4 | 0.5 | 1.3 | 9.7 | 9.7 | 9.7 | 9.7 | 0.5 | 0.2 | 0.3 | 7.1 | 7.8 | 8.2
+FP64 Tensor Core (TFLOPS) | 51 | 1.4 | 0.5 | 1.3 | 19.5 | 19.5 | 19.5 | 19.5 | 0.5 | N/A | N/A | N/A | N/A | N/A
 FP32 (TFLOPS) | 51.2 | 91.6 | 30.3 | 82.6 | 19.5 | 19.5 | 19.5 | 19.5 | 31.2 | 8.1 | 11.2 | 14.1 | 15.7 | 16.4
 TF32 Tensor Core (TFLOPS) | ? | 183 | 60 | 82.6 | 156 | 156 | 156 | 156 | 62.5 | N/A | N/A | 112 | 125 | N/A
 TF32 Tensor Core with Sparsity (TFLOPS) | 756 | 366 | 120 | 165.2 | 312 | 312 | 312 | 312 | 125 | N/A | N/A | N/A | N/A | N/A
 FP16 (TFLOPS) | 204.9 | 91.6 | 30.3 | 82.6 | 78 | 78 | 78 | 78 | 31.2 | 65 | 22.3 | 28.3 | 31.3 | 32.8
 FP16 Tensor Core (TFLOPS) | ? | 362 | 121 | 330.3 | 312 | 312 | 312 | 312 | ? | ? | ? | 112 | 125 | 130
 FP16 Tensor Core with Sparsity (TFLOPS) | ? | 733 | 242 | 660.6 | 624 | 624 | 624 | 624 | ? | ? | ? | ? | ? | ?
-BF16 (TFLOPS) | ? | ? | ? | ? | ? | ? | ? | ? | ? | N/A | N/A | N/A | N/A | N/A
 BF16 Tensor Core (TFLOPS) | ? | 362 | 121 | 165.2 | 312 | 312 | 312 | 312 | 125 | N/A | N/A | N/A | N/A | N/A
 BF16 Tensor Core with Sparsity (TFLOPS) | 1513 | 733 | 242 | 330.4 | 624 | 624 | 624 | 624 | 250 | N/A | N/A | N/A | N/A | N/A
-FP8 (TFLOPS) | N/A | N/A | N/A | ? | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
 FP8 Tensor Core (TFLOPS) | ? | 733 | 242 | 660.6 | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
 FP8 Tensor Core with Sparsity (TFLOPS) | 3026 | 1466 | 485 | 1321.2 | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
-FP4 (TFLOPS) | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
 FP4 Tensor Core (TFLOPS) | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
 FP4 Tensor Core with Sparsity (TFLOPS) | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
-INT8 (TOPS) | ? | ? | ? | 292.8 | ? | ? | ? | ? | ? | 130 | ? | ? | ? | ?
-INT8 Tensor Core (TOPS) | ? | 733 | 242 | 660.6 | 624 | 624 | 624 | 624 | 250 | ? | ? | N/A | N/A | N/A
+INT8 Tensor Core (TOPS) | ? | 733 | 242 | 660.6 | 624 | 624 | 624 | 624 | 250 | 130 | ? | N/A | N/A | N/A
 INT8 Tensor Core with Sparsity (TOPS) | 3026 | 1466 | 485 | 1321.2 | 1248 | 1248 | 1248 | 1248 | 500 | ? | ? | N/A | N/A | N/A
-INT4 (TOPS) | N/A | N/A | N/A | ? | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
 INT4 Tensor Core (TOPS) | ? | 733 | ? | 1321.2 | ? | ? | ? | ? | 500 | 260 | ? | N/A | N/A | N/A
 INT4 Tensor Core with Sparsity (TOPS) | ? | 1466 | ? | 2642.4 | ? | ? | ? | ? | 1000 | ? | ? | N/A | N/A | N/A
 **Architecture Details** |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 
@@ -34,6 +29,7 @@ NVIDIA RT Cores | ? | 142 (3rd gen) | 60 (3rd gen) | 128 (3rd gen) | ? | ? | ? |
 NVIDIA Tensor Cores | 456 (4th gen) | 568 (4th gen) | 240 (4th gen) | 512 (4th gen) | 432 (3rd gen) | 432 (3rd gen) | 432 (3rd gen) | 432 (3rd gen) | 288 (3rd gen) | 320 (2nd gen) | 384 (2nd gen) | 640 (1st gen) | 640 (1st gen) | 640 (1st gen)
 NVIDIA CUDA Cores | 14592 | 18176 | 7424 | 16384 | 6912 | 6912 | 6912 | 6912 | 9216 | 2560 | 3072 | 5120 | 5120 | 5120
 GPU Memory (GB) | 80 | 48 | 24 | 24 | 40 | 80 | 40 | 80 | 24 | 16 | 16 | 16/32 | 16/32 | 32
+Memory Type | HBM2e | GDDR6 | GDDR6 | GDDR6X | HBM2e | HBM2e | HBM2e | HBM2e | GDDR6 | GDDR6 | GDDR6 | HBM2 | HBM2 | HBM2
 Memory Bandwidth (GB/s) | 2048 | 864 | 300 | 1008 | 1555 | 1935 | 1555 | 2039 | 600 | 300 | 448 | 900 | 900 | 1134
 Interconnect Type | PCIe Gen5 | PCIe Gen4 | PCIe Gen4 | PCIe Gen4 | PCIe Gen4 | PCIe Gen4 | NVLink | NVLink | PCIe Gen4 | PCIe Gen3 | PCIe Gen3 | PCIe Gen3 | NVLink | PCIe Gen3
 Encoders and Decoders | 0, 7 | 3, 3 | 2, 4 | 2, 1 | 0, 5 | 0, 5 | 0, 5 | 0, 5 | 1, 2 | 1, 2 | 1, 2 | 3, 1 | 3, 1 | 3, 1