Nebius AI is among the first cloud providers adopting NVIDIA B200 Tensor Core GPUs

NVIDIA's Blackwell platform represents a significant advancement in accelerated computing for generative AI, enabling efficient real-time inference for trillion-parameter large language models (LLMs) with reduced operating costs and energy consumption by up to 25 times, thanks to its innovative Blackwell Tensor Cores and NVIDIA TensorRT-LLM library. The platform incorporates six groundbreaking technologies, including the second-generation Transformer Engine, fifth-generation NVLink interconnect, and advanced confidential computing capabilities, all housed in a chip with 208 billion transistors. It enhances system resiliency through AI-based preventative maintenance, diagnostics, and reliability forecasting, allowing uninterrupted massive-scale AI deployments. The NVIDIA B200 Tensor Core GPU, based on Blackwell, significantly improves inference workload speeds, while the NVIDIA GB200 Grace Blackwell-powered systems, when paired with the new NVIDIA Quantum-X800 InfiniBand and Spectrum™-X800 Ethernet platforms, offer advanced networking capabilities up to 800 Gbit/s. The HGX B200 server board facilitates the development of powerful generative AI platforms by connecting eight B200 GPUs with high-speed interconnects, supporting networking speeds up to 400 Gbit/s through the NVIDIA Quantum-2 InfiniBand and NVIDIA Spectrum-X Ethernet platforms, and including support for NVIDIA BlueField-3 DPUs. Products based on the Blackwell platform are expected to be available from NVIDIA partners later this year.

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