AI INFRASTRUCTURE
FOR HEALTHCARE & LIFE SCIENCES
GPU infrastructure for drug discovery, genomics, medical imaging, and clinical AI. Built for the compute demands and data sensitivity that healthcare and life sciences organizations require.
Explore Infrastructure Options Talk to a GPU ExpertOVERVIEW
ACCELERATING DISCOVERY
WITH DEDICATED GPU COMPUTE
Healthcare and life sciences organizations are applying GPU-accelerated computing to problems that were previously too slow or too expensive to solve. Molecular simulations that once took weeks now run in hours. Genomic analysis pipelines that bottlenecked on CPU clusters now scale linearly on GPUs. Medical imaging models that required cloud-based inference can now run on dedicated infrastructure with full data control.
Arc Compute works with research institutions, pharmaceutical companies, biotech firms, and healthcare technology providers to design and deploy GPU infrastructure around their specific workflows. We understand that in this space, data privacy, regulatory compliance, and reproducibility are not afterthoughts. They are requirements that shape every infrastructure decision.
End-to-End AI Infrastructure,
Delivered Ready to Run
Arc Compute delivers fully integrated GPU clusters that eliminate the complexity of building AI infrastructure in-house. We design, configure, and deploy complete systems—including compute, networking, storage, and cooling—so your team can focus on training models, not managing hardware.
Each cluster is purpose-built for your workloads, whether you’re training large-scale models, running simulations, or supporting production inference at scale.
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Drug Discovery & Molecular Simulation
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Genomics & Sequencing Analysis
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Medical Imaging & Diagnostics
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Clinical AI & NLP
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Protein Structure & Bioinformatics
Accelerate virtual screening, molecular dynamics, and binding affinity predictions. GPU compute enables pharmaceutical and biotech teams to explore vastly larger compound libraries and run physics-based simulations at a scale that reshapes early-stage drug discovery timelines.
Process whole-genome sequencing, variant calling, and large-scale genomic datasets with GPU-accelerated pipelines. What takes days on CPU-based clusters can run in hours on dedicated GPU infrastructure, enabling faster turnaround for both research and clinical applications.
Train and deploy deep learning models for radiology, pathology, and diagnostic imaging. GPU infrastructure supports both the compute-heavy training phase and the low-latency inference required for clinical deployment, with data residency and privacy controls built in.
Build and run AI models for clinical documentation, electronic health record analysis, patient risk stratification, and medical literature processing. Dedicated infrastructure lets you train on sensitive clinical data without sending it to a third-party cloud.
Run structure prediction models, protein folding simulations, and large-scale bioinformatics workflows. These workloads are inherently GPU-parallel and benefit from the memory bandwidth and compute density of modern GPU platforms.
Infrastructure Approach
INFRASTRUCTURE THAT
MEETS THE BAR FOR HEALTHCARE
Healthcare and life sciences workloads come with infrastructure requirements that go beyond raw performance. Data handling, access controls, auditability, and physical security all factor into how systems are designed and where they are deployed. Arc Compute builds infrastructure that accounts for these constraints from day one.
DATA PRIVACY & COMPLIANCE
On-prem and colocation deployments keep sensitive patient, clinical, and research data under your direct control. Infrastructure can be designed to support HIPAA, GxP, and other regulatory frameworks.
WORKLOAD-SPECIFIC CONFIGURATION
Every system is designed around your actual compute requirements. Molecular dynamics, genomic pipelines, and imaging workloads each have different GPU, memory, storage, and networking profiles.
SCALABLE ARCHITECTURE
Start with the capacity your team needs today and expand as research programs grow, datasets increase, or production workloads scale.
OWNERSHIP MODELS
YOUR INFRASTRUCTURE, YOUR TERMS
CAPEX
OWN YOUR INFRASTRUCTURE
Purchase GPU systems outright and deploy them in your own facility, a university data center, or a colocation environment. You own the hardware, control the physical and logical security environment, and benefit from lower long-term compute costs as the systems are utilized over their full lifecycle.
Best for:
- Research institutions, hospitals, and pharmaceutical companies with sustained compute needs
- Institutional procurement processes that favor capital purchases
- Strict data residency requirements that demand full infrastructure ownership
OPEX
FLEXIBLE INFRASTRUCTURE
Access GPU infrastructure through managed services, leasing, or consumption-based models. You get high-performance compute without a large capital outlay, with the flexibility to scale capacity up or down as projects, grants, and research programs evolve.
Best for:
- Biotech startups, grant-funded research groups, and clinical AI teams with project-based compute needs, variable workloads
- Budget structures that favor operating expenses over capital commitments
Did you know?
Many organizations use a combination of both. A university research lab might own its core training infrastructure while using on-demand capacity for peak workloads during paper deadlines. A pharmaceutical company might own infrastructure for long-running drug discovery pipelines while leasing additional capacity for clinical trial analysis. Arc Compute helps you design the right mix.
WHY ARC COMPUTE
THE TEAM BEHIND YOUR
INFRASTRUCTURE
SIMPLIFIED DEPLOYMENT
We handle the complexity of GPU infrastructure so your team can focus on models, not hardware. From planning through production, we guide the entire process.
WHY PRIVATE AI CLOUD
THE TEAM BEHIND YOUR
INFRASTRUCTURE
WORKLOAD-SPECIFIC DESIGN
Every system is built around your actual compute needs. Molecular dynamics, genomics, and imaging each require different infrastructure profiles.
WHY PRIVATE AI CLOUD
THE TEAM BEHIND YOUR
INFRASTRUCTURE
FLEXIBLE OWNERSHIP MODELS
CAPEX, OPEX, or a hybrid of both. We help you structure infrastructure ownership in a way that aligns with your budget cycles, grant structures, and procurement processes.
WHY PRIVATE AI CLOUD
THE TEAM BEHIND YOUR
INFRASTRUCTURE
PERFORMANCE AT SCALE
Infrastructure capable of supporting the most compute-intensive life sciences workloads, from distributed molecular simulation to large-scale genomic analysis.
WHY PRIVATE AI CLOUD
THE TEAM BEHIND YOUR
INFRASTRUCTURE
DATA CONTROL & COMPLIANCE
Maintain full control over sensitive research and patient data. On-prem and colocation options support HIPAA, GxP, and institutional data governance requirements.
WHY PRIVATE AI CLOUD
THE TEAM BEHIND YOUR
INFRASTRUCTURE
LONG-TERM SUPPORT
Ongoing optimization and support as your infrastructure and research programs evolve. We stay engaged well beyond initial deployment.
TRUSTED BY
TRUSTED BY HEALTHCARE &
LIFE SCIENCES ORGANIZATIONS
PLACEHOLDER TITLE FOR ACTUAL DEPLOYMENT GOES HERE
Arc Compute made the entire process smooth, from quoting to delivery. Their team was responsive and knowledgeable and helped us get the right configuration. The delivery and support have been excellent end-to-end.
Samuel Vasilevskiy
Datacenter Engineer, lynx
PLACEHOLDER TITLE FOR ACTUAL DEPLOYMENT GOES HERE
Arc Compute made the entire process smooth, from quoting to delivery. Their team was responsive and knowledgeable and helped us get the right configuration. The delivery and support have been excellent end-to-end.
Samuel Vasilevskiy
Datacenter Engineer, lynx
Explore Solutions
EXPLORE INFRASTRUCTURE
FOR HEALTHCARE & LIFE SCIENCES
Arc Compute offers multiple paths to GPU infrastructure, each designed to fit different deployment models, timelines, and operational requirements.
Turnkey GPU Clusters
Fully integrated GPU clusters designed for rapid deployment, scalable performance, and long-term growth. Ideal for firms building dedicated AI compute environments.
Explore Turnkey GPU ClustersPrivate AI Cloud
Dedicated GPU infrastructure with the flexibility of cloud, giving you full control over performance, cost, and data. Built for teams that want cloud-like agility without the cloud pricing model.
Explore Private AI CloudGPU Servers
Individual GPU servers tailored to your workloads, from single systems to large-scale infrastructure builds. The right option when you need specific hardware configurations for specific jobs.
Explore GPU Servers