Deploy the world's fastest GPUs in seconds. NVIDIA H200, Blackwell B300, and GB300 NVL72 AI Data Center racks — no contracts, no commitments. Pay only for what you use.
From cutting-edge Blackwell Ultra to battle-tested Hopper — every GPU is bare-metal performance, billed per hour.
The NVIDIA GB300 NVL72 isn't a single GPU — it's an entire AI factory in a rack. 72 Blackwell Ultra GPUs fully connected via NVLink 5.0, delivering 1.5 ExaFLOPS of FP4 AI compute and 13.5 TB of unified HBM3e memory. Built for organizations training frontier models and running hyperscale inference.
All-to-all NVLink 5.0 connected. One unified memory domain across the full rack.
Whether you need one rack or a full AI supercluster, SScoreCompute delivers the infrastructure to match.
The GB300 NVL72 isn't just compute — it's a complete AI infrastructure platform.
All 72 GPUs share a single 13.5 TB HBM3e memory pool over NVLink 5.0. No CPU bottlenecks. Models too large for a single GPU run natively across the full rack.
The GB300 NVL72 delivers more AI compute than entire data centers did just 5 years ago — all in a single rack footprint with liquid cooling.
1.8 TB/s of bidirectional bandwidth per GPU. No communication overhead between GPUs — train 700B+ parameter models without gradient synchronization bottlenecks.
Scale beyond one rack seamlessly. Our NVL72 clusters are interconnected with 800Gbps InfiniBand for multi-rack training jobs spanning thousands of GPUs.
Deploy NVL72 racks in our Tier-IV data centers or bring them to your facility. Dedicated racks with reserved capacity and 24/7 infrastructure support.
99.9% uptime SLA with dedicated support, proactive monitoring, priority incident response, and quarterly infrastructure reviews for rack-scale deployments.
From single GPUs to full NVL72 racks — configure your workload and see real-time pricing. No surprises.
Everything you need to run serious workloads — nothing you don't.
Go from zero to running GPU cluster in under 60 seconds. No approval queues, no manual steps.
Dedicated physical nodes — no noisy neighbors, no virtualization overhead. Pure GPU throughput.
GPU utilization, temperature, memory bandwidth, and cost metrics streamed live to your dashboard.
Deploy in North America, Europe, and Asia-Pacific. Low-latency interconnects between nodes in every region.
Use on-demand for critical jobs, spot instances for training runs at up to 70% cost reduction.
Terraform provider, Python SDK, REST API. Integrate GPU provisioning into any workflow or CI/CD pipeline.
From single-GPU fine-tuning to frontier model training on NVL72 racks — if it needs GPUs, it runs on SScoreCompute.