VESSL AI for Academics

Our free academic program is dedicated to helping graduate students and faculty members set up a modern AI/ML infrastructure with zero maintenance overheads.

Announcing VESSL for Academics

The increasing complexity in machine learning models and datasets is a challenge not just for industry but also for academia. In response, top universities are investing heavily in high-performance computing systems to further scale their research infrastructures.

https://vesslai.medium.com/announcing-vessl-for-academics-458c6277ce41

Facilitating AI/ML research with instant access to HPCs

Established in 2019, the Graduate School of AI at KAIST is the latest installment to the university's efforts to advance research in AI. As part of its mission to foster top-tier research experience, the school invested heavily in high-performance computing systems from the very beginning.

https://medium.com/vessl-ai/facilitating-ml-research-with-instant-access-to-hpc-e032523429f8

Problems we are solving

We provide a Slurm alternative job scheduler that is easy to set-up, easy to use, and requires zero maintenance so you can focus on your research rather than wasting hours on managing GPUs.

Job scheduling

Run GPU-backed training jobs and notebook servers instantly using our CLI commands, YAML definitions, or Web interface.

GPUs management

Integrate lab-wide clouds and on-premise clusters with a single command — vessl cluster create --name 'dgx-a100' — and monitor GPU usage down to each node.

Apply now

Join the community of students and researchers already using VESSL AI. You will be asked to provide your institutional email when you apply.

Complete the Typeform to apply for VESSL AI for Academics. 

VESSL for Academics

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Our support team will reach out within a day.

Refer to our guide to get started.

Cite us

If you are writing an academic paper, cite VESSL AI — use charts logged using VESSL AI or leave a link to VESSL AI model registry that contains your models, for example. Here are some pre-generated citations for you.

Bibtex Citation

@misc{vesslai,
title = {Model development with VESSL},
year = {2023},
note = {Software available from vessl.ai},
url={https://www.vessl.ai/},
author = {An, Jaeman},
}
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IEEE Citation

Jaeman An, “Model development with VESSL AI,” VESSL AI. [Online]. Available: http://vessl.ai/.
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Have questions? Reach out.

Kelly Oh

Growth Manager

kelly@vessl.ai