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40% Lower CAPEX Through Dynamic GPU Allocation

50% Less Cooling Energy With Optical Interconnects

Typical AI Infrastructure ROI In Under Six Months

DCIM for AI infrastructure

Manage the hardware and infrastructure supporting AI training and inference, creating a dependable foundation for medical imaging, monitoring and other demanding clinical workloads.

Cloud-native control plane

Cloud-native orchestration, identity and access management, multi-tenant control and autoscaling help healthcare teams manage growth without re-architecture as demand changes.

Model runtime and tools

Run clinical models with NVIDIA and AMD software stacks, including PyTorch, CUDA or ROCm, ONNX Runtime and TensorFlow for AI training and inference workloads.

Five connected layers for clinical AI delivery

From data center hardware to deployable agents, one healthcare AI stack helps clinical teams build, run and scale workloads with confidence.

LLM integration and APIs

Connect large language models through SDK-facing APIs that manage keys, enable retrieval-augmented generation and define prompt templates for clinical applications and agents.

AgentStudio for care teams

Build, deploy, manage, monitor and scale healthcare agents with an AI Agent SDK and ready-to-use inventory for documentation, scheduling, coaching and operational support.

AI infrastructure savings
40% Lower
Lower CAPEX through dynamic GPU allocation for clinical AI workloads.
Energy efficiency gains
50% Less
Less cooling energy with optical interconnects in data centers.
Time to value
Under 6mo
Typical ROI window for AI infrastructure transformation projects.

What runs on AI Studio for Healthcare

Built for care delivery organizations

AI infrastructure for hospitals, clinics, imaging centers and operations teams that need to run clinical and diagnostic workloads at scale.

HOSPITALS AND CARE NETWORKS

Enterprise-scale AI capacity for multi-site hospital systems managing clinical data.

SPECIALTY CLINICS AND CARE

Right-sized AI capacity for outpatient and specialty clinics delivering focused care.

MEDICAL IMAGING CARE CENTERS

Dedicated compute for image-heavy diagnostic workloads, model runtime and analysis.

CLINICAL OPERATIONS TEAMS

Agents supporting scheduling, documentation and coaching across clinical operations.

Medical Imaging AI Infrastructure Suite

Analyze medical images on dedicated GPU infrastructure with an AI stack that supports model deployment and diagnostic workflows

  • Dedicated GPUs for imaging models
  • Model runtime for clinical analysis
  • Built for demanding image workloads

Continuous Patient Monitoring AI Stack

Process patient monitoring data with scalable AI infrastructure that supports early detection and informed clinical decisions.

  • Process continuous patient streams
  • Enable early signal detection
  • Scale monitoring capacity on demand

AI Diagnostics Support for Clinical Teams

Deliver AI-powered clinical insights with a platform that supports model deployment and diagnostic workflows.

  • Model-driven clinical insight tools
  • Support diagnostic decisions
  • Ready-to-use agents for care teams

Ready to see what's possible?

 Tell us about your goals and we'll help you design an AI solution that fits your organization.

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