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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.
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
Integrating and managed connected apps are now more intuitive on our updated integrations page. Check out the new page under Settings → Integrations.
You can now download CSV files of your experiment dashboards. Apply filters and sorts, save the view as a dashboard, and download it as CSV.
Enterprise customers can now manage cluster-level permissions of multiple organizations in one admin organization.
We’ve added search bars under Projects and Workspaces so you can search through all your projects and notebook servers at once.
Check out photos from our preview event of the upcoming NeurIPS 2022, co-hosted with Seoul National University and Yonsei University. Thank you to our speakers and everyone who stopped by.