VESSL — Control plane for machine learning and computing
VESSL provides a unified interface for training and deploying AI models on the cloud. Simply define your GPU resource and pinpoint to your code & dataset. VESSL does the orchestration & heavy lifting for you:- Create a GPU-accelerated container with the right Docker Image.
- Mount your code and dataset from GitHub, Hugging Face, Amazon S3, and more.
- Launches the workload on our fully managed GPU cloud.
One any cloud, at any scale
Instantly scale workloads across multiple clouds.


Streamlined interface
Launch any AI workloads with a unified YAML definition.


End-to-end coverage
A single platform for fine-tuning to deployment.


A centralized compute platform
Optimize GPU usage and save up to 80% in cloud.


What can you do?
- Run compute-intensive AI workloads remotely within seconds.
- Fine-tune LLMs with distributed training and auto-failover with zero-to-minimum setup.
- Scale training and inference workloads horizontally.
- Deploy an interactive web applicaiton for your model.
- Serve your AI models as web endpoints.
How to get started
Head over to VESSL and sign up for a free account. Nodocker build
or kubectl get
.
- Create your account on VESSL.
- Install our Python package —
pip install vessl
. - Follow our Quickstart guide or try out our example models at VESSL Hub.