Struggling to plan or run your AI and HPC infrastructure? We help you decide what to build, buy, colocate, or consume from the cloud — then engineer it on OpenHPC and Kubernetes, run it, and design the facility underneath it.
Pick a starting point — you can move between them as your infrastructure and team mature.
We're not a hardware or software vendor, so we have no financial motivation to sell you hardware, licensing, or a particular platform — just guidance. We help classify your AI and HPC workload mix — training, inference, agentic, simulation — balance CPU against GPU capacity, and turn that into a clear build/buy/colocate/cloud roadmap. We use OpenHPC and Kubernetes ourselves and support the same.
Do you need assistance getting up and running with a modern cluster? We work with you through base and extended OpenHPC installation, and deploy Kubernetes alongside it — so traditional batch HPC and containerized AI/ML workloads run on shared infrastructure instead of two disconnected silos.
We function as an extension of your operations team — deployment strategy, capacity planning and utilization, refresh cycles, and ongoing software installation and troubleshooting across on-prem, hybrid, and cloud environments.
Server and cluster architecture is only half the system. We advise on power density, cooling strategy (air, liquid, or hybrid), rack layout, and facility lifecycle — so the physical plant can actually support the AI and HPC workloads you're planning for.
Not sure your project is big enough? It is. We're local to the San Francisco Bay Area and happy to start with a quick, practical job — exactly the kind of work we like helping with.
Tell us what you're working on →We start with your workload mix, growth plans, and constraints, and map it to a build/buy/colocate/cloud decision — no pre-baked hardware or software recommendation.
We work alongside you through cluster installation — traditional HPC scheduling and cloud-native orchestration, integrated rather than bolted together.
We extend your operations team on capacity planning, utilization, troubleshooting, and remote management over time.
Power, cooling, density, and layout — sized to the infrastructure you're actually running, not a generic template.
Tell us about your HPC cluster project and we'll follow up with ideas for how we can help.