NVIDIA GB200 NVL72 Grace Blackwell Superchip Rack System

The NVIDIA GB200 NVL72 Grace Blackwell Superchip Rack System is a rack-scale AI infrastructure platform combining NVIDIA Blackwell GPUs with ARM-based Grace CPUs in a unified architecture optimized for large-scale model training and inference. The NVL72 configuration delivers 72 Blackwell GPUs per rack with full-bandwidth interconnectivity via NVIDIA Blackwell-to-Blackwell NVLink, enabling efficient distributed training across frontier-scale models.

This system addresses the computational demands of next-generation large language models and multimodal AI workloads, featuring unified memory architecture, advanced tensor operations, and dynamic sparsity support. The Grace Blackwell pairing provides CPU-GPU coherence and reduces data movement bottlenecks inherent in discrete accelerator designs, resulting in improved training throughput and model convergence rates.

The platform supports NVIDIA's full software stack including CUDA, cuDNN, TensorRT, and distributed training frameworks, enabling enterprise research teams to scale from single-rack prototypes to multi-rack production deployments without architectural rework.

Ideal for

• Large language model training at 100B+ parameter scale with optimized gradient synchronization
• Multimodal AI model development combining vision, language, and audio modalities
• Generative AI inference serving with batching and dynamic request scheduling
• Scientific computing and computational fluid dynamics simulations requiring high tensor throughput
• Recommendation system training on high-cardinality datasets with sparse feature spaces
• Autonomous systems and robotics perception model development at scale

Technical specifications

Available from Omnixon Global. Submit an RFQ and our team will confirm configuration and availability for your order.