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Q-HPC

Multi-Agent Hybrid HPC Orchestration

Optimize and Simplify

On-Prem and Cloud Ops

The platform utilizes a coordinated team of AI agents to automate, orchestrate, and continuously refine HPC workflows across complex, hybrid infrastructure

Why Generic AI Fails in HCLS

Meeting Growth While Controlling Costs

Healthcare and Life Sciences (HCLS) companies face a critical challenge in meeting rapidly growing High Performance Compute (HPC) workloads while simultaneously achieving efficient cost optimization

To accelerate crucial research and innovation, organizations must reconcile computational needs across a complex, diverse infrastructure landscape, including:

  • Legacy HPC infrastructure
  • New specialized hardware (Nvidia Pods, HPE Data Mod Pod, AMD EPYC, etc)
  • Scalable cloud-native resources (compute nodes, GPU/TPU)

Our Solution

AI-Powered Orchestration

1000x

boost in HPC productivity

20x

faster end-to-end compute cycles

Up to 80%

compute cost optimization

Zero

manual provisioning errors

The Intelligent Q-HPC Agent Team

Coordinated team of specialized AI agents works constantly to ensure maximum throughput, minimum cost, and zero downtime across your hybrid environment

Infra Integration & Orchestration Agent
Dynamically provisions and tears down clusters via Infrastructure as Code (IaC) based on real-time workload demand (e.g., Terraform/Kubernetes)
Ops Efficiency Agent
Continuously monitors job queues, reallocates resources, and auto-tunes batch sizes for maximum compute throughput and reduced waiting times
Cost Control Agent
Predicts usage patterns, shifts workloads to discounted/spot instances, and rightsizes VMs in real-time to achieve substantial cost optimization
Capacity Planner Agent
Forecasts peak computational needs and proactively prescales infrastructure or schedules tasks to prevent bottlenecks and downtime

Cloud & Platform Partners

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Databricks logo
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Atlassian logo
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Learn more

Ready to Stop Managing Infrastructure and Start Accelerating Research?

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