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Life Sciences
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
From pipeline submission to first sample crunching. No ticket queue, no manual allocation.
Typically 2–4× more sequencing runs, imaging pipelines, and drug-screen jobs through the same GPU cluster, via concurrent time slicing.
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Compute plane that runs on-prem, air-gapped, or cloud. No rearchitecture when your deployment shape changes.
Regulated environments
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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.
⚡
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.
🗂️
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. They stop managing provisioning queues and start running experiments. Talk to us about your compute environment.
No long-term contract required · Deploy in your environment · On-prem, compliance-aware, no egress
