Velda is a cloud-native development, workload orchestration & HPC (High Performance Computing) platform. Directly scale your application from your development environment, no extra setup required.
Velda provides a seamless development experience.
- Connect with your favorite IDE (e.g., SSH, VS Code, Cursor, Windsurf), or code and run directly from your browser (hosted or enterprise only).
- Onboard new developers instantly by cloning from a pre-configured image, or customize your own.
- Compatible with most libraries, tools, or package managers. All your environment modifications and customizations are persisted and isolated from other users.
Velda provides the simplest way to scale or run workloads with different hardware requirements:
vrunis all you need. Prefixvrunto your command, and run your workload with the resource you requested.- Run any workload: machine learning training, batch processing, or host a microservice cluster.
- Unbounded capacity: Access as many machines as you need from your cloud provider.
- Your environment is always consistent. All your code, data, dependencies, and environment will be mounted on the new machine.
Save instantly with Velda:
- No more idle GPUs, sandboxes, or machines. Only allocate the resources you need. Stop paying for GPUs while coding or in meetings.
- Save engineering time building, updating, and maintaining container images.
- Optionally, skip Kubernetes cluster management and scale directly with VMs from your cloud provider.
Mini-velda runs a Velda sandbox directly from your workstation, and automatically configure your cluster to scale to the cloud. Also see limits and restrictions.
To start a mini-velda cluster:
# Init the sandbox
velda mini init sandbox
# Connect to the sandbox
ssh mini-velda
# In mini-velda sandbox, setup environment as usual
sudo apt install python3
pip install torch
# Run workload with L4 GPUs
vrun -P aws:g6.xlarge train.sh
Currently support automatic configuration from AWS environment, and manual configuration for GCP, K8s and command based backend.
For organizations who want sharing the cluster resource or centralized management, or needs more than mini-velda provides, you may deploy a standalone Velda cluster that is shared with team-members. We support various deployment methods.
- Set up a new cluster:
- Directly on machines
- Google Cloud
- AWS & other cloud providers coming soon.
- Connect to a cluster
We love contributions from our community ❤️. Pull requests are welcome!
We are super excited for community contributions of all kinds - whether it's code improvements, documentation updates, issue reports, feature requests, or discussions in our Discord.
Join our community here:
Check out velda.io to learn more about Velda and our hosted/enterprise offerings.