NVIDIA announces Blackwell Ultra at GTC
Summary
With the NVIDIA GB300 NVL72, AI models can access the platform’s increased compute capacity to explore different solutions to problems and break down complex requests into multiple steps, resulting in higher-quality responses. The NVIDIA HGX B300 NVL16 features 11x faster inference on large language models, 7x more compute and 4x larger memory compared with the Hopper generation to deliver breakthrough performance for the most complex workloads, such as AI reasoning. In addition, the Blackwell Ultra platform is ideal for applications including: • Agentic AI, which uses sophisticated reasoning and iterative planning to autonomously solve complex, multistep problems. They can reason, plan and take actions to achieve specific goals • Physical AI, enabling companies to generate synthetic, photorealistic videos in real time for the training of applications such as robots and autonomous vehicles at scale Advanced scale-out networking is a critical component of AI infrastructure that can deliver top performance while reducing latency and jitter. NVIDIA BlueField-3 DPUs, also featured in Blackwell Ultra systems, enable multi-tenant networking, GPU compute elasticity, accelerated data access and real-time cybersecurity threat detection.
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