Deep Learning Deployment Framework: Supports tf/torch/trt/trtllm/vllm and other NN frameworks. Support dynamic batching, and streaming modes. It is dual-language compatible with Python and C++, offering scalability, extensibility, and high performance. It helps users quickly deploy models and provide services through HTTP/RPC interfaces.

Dynamic batching library for Deep Learning inference. Tutorials for LLM, GPT scenarios.

InsNet Runs Instance-dependent Neural Networks with Padding-free Dynamic Batching.