Built on the Blackwell architecture that was introduced a year ago, Blackwell Ultra includes the NVIDIA GB300 NVL72 rack-scale solution and the NVIDIA HGX B300 NVL16 system. The GB300 NVL72 delivers 1.5x more AI performance than the NVIDIA GB200 NVL72.
“AI has made a giant leap - reasoning and agentic AI demand orders of magnitude more computing performance,” said Jensen Huang, founder and CEO of NVIDIA. “We designed Blackwell Ultra as a single versatile platform that can easily and efficiently do pretraining, post-training and reasoning AI inference.”
The NVIDIA GB300 NVL72 connects 72 Blackwell Ultra GPUs and 36 Arm Neoverse-based NVIDIA Grace CPUs in a rack-scale design, acting as a single massive GPU built for test-time scaling.
With the NVIDIA GB300 NVL72, AI models can now 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 GB300 NVL72 is also expected to be available on NVIDIA DGX Cloud, an end-to-end, fully managed AI platform on leading clouds supported by software, services and AI expertise for evolving workloads. NVIDIA DGX SuperPOD with DGX GB300 systems uses the GB300 NVL72 rack design to provide customers with a turnkey AI factory.
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 improved performance for the most complex workloads, such as AI reasoning.
The Blackwell Ultra platform is suited for applications that include:
- Agentic AI, which uses sophisticated reasoning and iterative planning to autonomously solve complex, multistep problems. AI agent systems go beyond instruction-following. 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.
Blackwell Ultra systems have been designed to integrate with the NVIDIA Spectrum-X Ethernet and NVIDIA Quantum-X800 InfiniBand platforms, with 800 Gb/s of data throughput available for each GPU in the system, through an NVIDIA ConnectX-8 SuperNIC - delivering best-in-class remote direct memory access capabilities to enable AI factories and cloud data centres to handle AI reasoning models without bottlenecks.
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.
Blackwell Ultra-based products are expected to be available from partners starting from the second half of 2025.
Cisco, Dell Technologies, Hewlett Packard Enterprise, Lenovo and Supermicro are all expected to deliver a wide range of servers based on Blackwell Ultra products, in addition to Aivres, ASRock Rack, ASUS, Eviden, Foxconn, GIGABYTE, Inventec, Pegatron, Quanta Cloud Technology (QCT), Wistron and Wiwynn.
Amazon Web Services, Google Cloud, Microsoft Azure and Oracle Cloud Infrastructure and GPU cloud providers CoreWeave, Crusoe, Lambda, Nebius, Nscale, Yotta and YTL are also among the first to offer Blackwell Ultra-powered instances.
Blackwell systems are intended for running new NVIDIA Llama Nemotron Reason models and the NVIDIA AI-Q Blueprint, supported in the NVIDIA AI Enterprise software platform for production-grade AI.
