<aside> ⭐ We are constantly improving our product with new features and bug fixes. Join our community Slack and follow us on Twitter or LinkedIn to stay updated. For questions and feedback, feel free to reach us out at support@vessl.ai.

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Feb 3, 2023 (v0.17.4)

🔀 Connect Public Git repos

You can now connect public GitHub, GitLab, and Bitbucket repository to VESSL. This is as simple as copy & pasting .git URL of the repository into your experiment launch page. Try out yourself with our public GitHub repo containing some example codes: 🔗  VESSL GitHub

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🐳 Improved managed Docker images

We are making sure that our managed Docker images stay updated with the latest dependencies. This means you have one less thing to worry about when you set up your runtime & dev environment for your latest model.

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🎈 Community update

Latest on our blog — read how VESSL is helping researchers at Seoul National University endeavor the latest multi-disciplinary AI-enabled research like fastMRI.

Seoul National University accelerates ML for MRI research with an open competition using VESSL

Did you get our January newsletter? Sign up for an account on VESSL to receive a monthly newsletter with tips on machine learning, MLOps, and more.

VESSL January Newsletter: On-prem integrations & Hybrid cloud for ML


Nov 25, 2022 (v0.17.4)

🔌 Improved on-premise GPU cluster integration

Integrating on-premise GPU clusters is easier than ever with our latest update. All it takes is a single, one-line command. The following command will check and install all the dependencies like Docker, Helm, and Kubernetes and help you connect your machines with a breeze.

curl -sSLf <https://install.dev.vssl.ai> | sudo bash -s -- --role=controller

For those who are looking to try out the integration with your laptop, we’ve prepared an even more intuitive command. This allows you to use your personal Linux device as a single node machine — helping you to run workloads more easily with every metadata kept tracked with VESSL.

vessl cluster create --name '[CLUSTER_NAME]' --mode single

First, explore what you can achieve by integrating your personal laptop. Then expand your integration by running our single-line curl command on your GPU cluster. Refer to our tutorial for more details.

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Hybrid Cloud for ML, Simplified

🎈 Community update

VESSL AI is sponsoring a student event at NeurIPS. Join the mentoring event led by senior faculty and industry leaders, and network with the next generation ML professionals from top research group around the world.

NeurIPS 2022 Student Activity - AMA with Senior Faculty & Industry Leaders · Luma


Nov 4, 2022 (v0.17.3)