High-Performance Compute Cluster
Turnkey HPC clusters for research, analytics, and AI.
Many organizations need cluster-class compute but do not want to build one. We design, deploy, and operate non-blocking clusters so you can focus on science and product.
Background & challenges
Architecture components
Hardware stack
Compute, memory, storage, 400G/800G fabric, and accelerator choice tied to your workload.
Software stack
Linux + kernel tuning, Slurm/Kubernetes, MPI, NCCL, OpenMP — all pre-configured.
Resource scheduling
Task scheduling, resource reservation, elastic auto-scaling, and fault tolerance.
Use-case patterns
Scientific computing, analytics, AI, and cloud — a proven blueprint for each.
Implementation steps
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1
Workload profiling
Understand your job mix before buying hardware.
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2
Design & build
Data center selection, rack layout, fabric commissioning.
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3
Software stand-up
Scheduler, monitoring, user onboarding.
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4
Validation
Benchmark suite confirms delivery meets the design.
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5
Managed operations
Ongoing SRE, capacity planning, and refresh.
Advantages & value
- National-scale compute footprint without building your own data center.
- Stable, efficient platform for AI + scientific workloads.
- Unified resource pool simplifies capacity planning.
- Pay-as-you-scale: start with one rack, grow to a campus.
Let's architect your deployment
Our solutions team will scope, price, and stand up the infrastructure for you.
Talk to a solutions architect