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A Modern Sovereign Ai Compute Platform

This quick survey helps us understand the tools, workflows, and challenges you face in your research environment. It takes* ~2 minutes* and helps shape the future of Research Institute Computing

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Your Details ^*

First Name ^*

Last Name ^*

Email ^*

Company ^*

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What is your primary field of research? ^*

If not covered please write in 'Other' option

Life Sciences

Physics / Materials Science

AI / ML / Data Science

Engineering

Social Sciences

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Are you part of a research lab or institute at your university?

Yes

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What is the name of your lab or institute?

e.g. MIT Aerospace or Cambridge Nanotechnology etc.

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How large is your typical research team?

1–3 people

4–10

11–25

25+

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Do you currently use your university's HPC cluster?

Regularly

Occasionally

Rarely

Never

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Do you have your own department / office compute cluster?

Regularly

Occasionally

Rarely

Never

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What are your biggest challenges with HPC systems?

multi-choice answers..also add more if needed in 'other'

Long job queue times

Lack of modern AI/ML tools

Complex command-line interface

Inflexible resource allocation

No access to GPUs

Software installation issues

Limited collaboration support

Other

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Do you collaborate with researchers outside your institution?

Frequently

Occasionally

Rarely

Never

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How do you currently collaborate or share research code/data? ^*

GitHub / GitLab / Bitbucket etc.

Dropbox / Google Drive / OneDrive

JupyterHub / Shared notebooks

Shared HPC queues

Email/manual sharing

Other

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What modern tools or platforms would you like to use but currently don’t have access to? ^*

GPT models (e.g., GPT-4, LLaMA, Mistral)

Vector databases (e.g., Pinecone, Qdrant, Weaviate)

GPU-backed sandbox environments

AutoML platforms (e.g., MLflow, Kubeflow)

JupyterHub on Kubernetes

Real-time visualization dashboards

Serverless APIs for inference

DevOps tools (CI/CD for research)

Other

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Would you be interested in the following

multi- select options

Seamlessly provides GPU resources

Lets you run AI/ML workloads across cloud + on-prem

Offers modern tooling (LLMs, databases, notebooks)

Simplifies collaboration

Doesn’t require managing infrastructure

I’m interested – tell me more

Not interested

Other

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In your own words: What would your ideal research computing setup look like?

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Would you like early access to a platform built specifically for modern academic research?

Yes

Maybe

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Thank you! 🙌

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