From sample to insight, faster than your grant cycle.

Run genomics, imaging, and drug-discovery pipelines on GPUs you control. Your existing schedulers stay in place, grant attribution is built in, and there are no cloud cost surprises at sample scale.

Research infrastructure outcomes

60s

From pipeline submission to first sample crunching. No SLURM queue wait, no IT ticket.

4×

Typically up to 4× more sequencing runs, imaging pipelines, and drug-screen jobs through the same GPU cluster, via concurrent time slicing.

1

Compute plane that runs on-prem, air-gapped, or cloud. No rearchitecture when your deployment shape changes.

Built for regulated environments

Serious compute for serious research

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Deploy next to regulated data

Run Orion in fully isolated environments with no external network dependencies. Designed for compliance-sensitive research workloads, classified environments, and institutions with strict data residency requirements.

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Coming Q2 2026

Existing pipelines, unchanged

Genomics, imaging, and sequencing workflows keep their current stack. Orion layers GPU time slicing, container support, and grant-level attribution on top. No pipeline rewrites, no scheduler swap.

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Mixed workload orchestration

Orchestrate containers, VMs, and bare metal under one unified compute plane. Research teams run AI visualization pipelines alongside batch compute jobs. Orion handles scheduling across mixed workload types without manual intervention.

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Project-level cost attribution

Grant-by-grant cost recovery. Every CPU-hour, GPU-hour, and dataset stamped with PI, study, and funding code. Audit-ready reports export straight to your research finance stack.

Your researchers shouldn't be managing infrastructure.

Your team's job is science, not server farms. Orion takes infrastructure management off your research computing team's plate — so they stop managing provisioning queues and start running experiments. Talk to us about your compute environment.

Start a pilot with your lab →