Leveraging high-speed, rack-scale GPU interconnect with NVIDIA GB200 NVL72

Nebius has been utilizing the NVIDIA Grace Blackwell platform to enhance data center AI infrastructure by leveraging the fifth-generation NVIDIA NVLink™ scale-up fabric, which significantly improves GPU-to-GPU communication bandwidth. The new NVIDIA GB200 NVL72 architecture supports up to 72 GPUs in a single NVLink domain, enabling efficient AI workload distribution and reducing communication overhead for tasks like pre-training large language models such as the Nemotron-4 340B LLM. This architecture utilizes a combination of Tensor, Pipeline, and Data parallelism to optimize performance, with the NVLink fabric providing high-speed connectivity within racks and InfiniBand used for inter-rack communication. For optimal performance on the GB200 NVL72, workloads must be carefully engineered to maximize the benefits of NVLink connectivity, requiring an understanding of parallelism group creation and communication patterns. Nebius offers insights and assistance for those planning to design workloads for NVIDIA GB200 NVL72 or GB300 NVL72, emphasizing the importance of proper setup to fully leverage the platform's capabilities.

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