STN GPU One – Scalable HGX B200 AI Compute (HIPAA & SOC 2)

Highlights

8-GPU minimum HGX B200 instances – 40 PFLOPS of compute per node
Thousands of B200 GPUs – current total cluster of 4 exaflops and growing
HIPAA, PCI & SOC 2 Type II compliant (FedRAMP in motion)
Built-in Palo Alto Networks XSIAM with STN SOC – IP and data protection from day one
Private, single-tenant clusters only
Concierge onboarding and CI/CD pipeline integration

40 PFLOPS of Scalable AI Compute – Powered by HGX B200

Every STN GPU One deployment starts with an 8x NVIDIA B200 GPU configuration – delivering industry-leading performance for model training, fine-tuning, inference, and high-throughput AI pipelines. Built on NVIDIA Blackwell and optimized to NVIDIA reference architecture standards.

8x NVIDIA B200 SXM GPUs per node = 40 PFLOPS (MXFP4)
192 GB HBM3e per GPU = 1.4 TB pooled memory
8 TB/s aggregate memory bandwidth
Fully meshed NVLink (8x per GPU)
PCIe Gen5 + NVSwitch for ultra-low latency
Kubernetes & Slurm ready out-of-the-box

Our 400G NVIDIA Spectrum SN5600 fabric is architected with zero oversubscription, ensuring full line-rate performance for every node without network contention for your NCCL heavy workloads.

99.9999% Infrastructure Uptime. >99.999% Node Availability.

Our architecture is engineered for continuous AI workload operation, surpassing Tier IV standards. Deployed at CoreSite CH2 with:

N+2 power redundancy with diverse utility feeds and 24-hour on-site fuel
N+1/N+2 cooling redundancy with direct liquid cooling and 800-gallon coolant reservoir buffer
Redundant pumps on dedicated UPS power
12+ hour water storage, plus additional thermal buffers for failover
Parallel redundancy models ensuring <30 seconds/year downtime per node

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