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Compute matched to the job
Size CPU, memory, GPU, and storage around your data, software, and run times — not the other way around.
AI FOR SCIENCE
Run the science, not the serversEnvironments and tech issues are on us
Built for universities, labs, and research teams. From protein structures and molecular simulation to weather modeling, AI-driven research needs serious compute — and one plan that covers servers, analysis environments, project migration, and ongoing support.
CPU & GPU computeResearch software environmentsMigration & technical support
Research services
What actually slows research down is sizing hardware, installing software, moving data, and debugging failures. We handle that work alongside the compute.
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Environments ready before you log in
RStudio, Jupyter, Conda, and the research software you rely on, with versions and dependencies confirmed up front.
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Projects and data in one place
Everyone works in the same environment, with code, data, and results stored centrally — no more shuttling files between machines.
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Engineers who pick up the slack
Environment migrations, dependency installs, and failed jobs — talk directly to technical staff who can take over.
How it works
Not sure how many cores or how much VRAM you need? That's fine — begin with your data, software, and how the team works.
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Describe the workload
Tell us your research area, data size, software stack, and how many people will use the server.
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Get a concrete plan
We confirm compute, storage, software environments, and whether dedicated resources make sense.
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Migrate and go live
Move your existing code, data, and environments onto the server, then run baseline tests.
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Run for the long haul
Your team works in one shared environment, and our engineers stay on call for whatever comes next.
Where it fits
Different workloads stress different resources. Pick your research area first, then drill into the products and configurations behind it.
Life sciences & bioinformatics
Single-cell, transcriptomics, metagenomics, and genomics analyses that demand large memory and carefully pinned software environments.
See the matching planAI training & inference
Model training, fine-tuning, and inference — GPU selection based on VRAM, run cycles, and data scale.
See the matching planLabs & research groups
One shared server and analysis environment for the whole group, with consistent software versions, member permissions, and project files.
See the matching planProject inquiry
Share your research area, data size, and team size. We'll work out compute, environments, and migration together.
Start from your existing code and data
Software versions and deliverables confirmed before launch