Unlocking Real-Time Trillion-Parameter Models

GB200 NVL72 connects 36 Grace CPUs and 72 Blackwell GPUs in a rack-scale design. The GB200 NVL72 is a liquid-cooled, rack-scale solution that boasts a 72-GPU NVLink domain that acts as a single massive GPU and delivers 30X faster real-time trillion-parameter LLM inference.

The GB200 Grace Blackwell Superchip is a key component of the NVIDIA GB200 NVL72, connecting two high-performance NVIDIA Blackwell Tensor Core GPUs and an NVIDIA Grace CPU using the NVIDIA® NVLink®-C2C interconnect to the two Blackwell GPUs.


Supercharging Next-Generation AI and Accelerated Computing

LLM Inference

LLM Training

Energy Efficiency

Data Processing


H100 Tensor
Core GPU

4X vs. H100

25X vs. 100

18X vs. CPU

LLM inference and energy efficiency: TTL = 50 milliseconds (ms) real time, FTL = 5s, 32,768 input/1,024 output, NVIDIA HGX™ H100 scaled over InfiniBand (IB) vs. GB200 NVL72, training 1.8T MOE 4096x HGX H100 scaled over IB vs. 456x GB200 NVL72 scaled over IB. Cluster size: 32,768
A database join and aggregation workload with Snappy / Deflate compression derived from TPC-H Q4 query. Custom query implementations for x86, H100 single GPU and single GPU from GB200 NLV72 vs. Intel Xeon 8480+
Projected performance subject to change.

Real-Time LLM Inference perfomance chart
Massive-Scale training performance chart

Real-Time LLM Inference

GB200 NVL72 introduces cutting-edge capabilities and a second-generation Transformer Engine which enables FP4 AI and when coupled with fifth-generation NVIDIA NVLink, delivers 30X faster real-time LLM inference performance for trillion-parameter language models. This advancement is made possible with a new generation of Tensor Cores, which introduce new microscaling formats, giving high accuracy and greater throughput. Additionally, the GB200 NVL72 uses NVLink and liquid cooling to create a single massive 72-GPU rack that can overcome communication bottlenecks.

Massive-Scale Training

GB200 NVL72 includes a faster second-generation Transformer Engine featuring FP8 precision, enabling a remarkable 4X faster training for large language models at scale. This breakthrough is complemented by the fifth-generation NVLink, which provides 1.8 terabytes per second (TB/s) of GPU-to-GPU interconnect, InfiniBand networking, and NVIDIA Magnum IO™ software.

Energy Effiecient infrastructure performance chart
Data Processing performance chart

Energy-Efficient Infrastructure

Liquid-cooled GB200 NVL72 racks reduce a data center’s carbon footprint and energy consumption. Liquid cooling increases compute density, reduces the amount of floor space used, and facilitates high-bandwidth, low-latency GPU communication with large NVLink domain architectures. Compared to NVIDIA H100 air-cooled infrastructure, GB200 delivers 25X more performance at the same power while reducing water consumption.

Data Processing

Databases play critical roles in handling, processing, and analyzing large volumes of data for enterprises. GB200 takes advantage of the high-bandwidth memory performance, NVLink-C2C, and dedicated decompression engines in the NVIDIA Blackwell architecture to speed up key database queries by 18X compared to CPU and deliver a 5X better TCO.


Technological Breakthroughs

Blackwell Architecture

The NVIDIA Blackwell architecture delivers groundbreaking advancements in accelerated computing, powering a new era of computing with unparalleled performance, efficiency, and scale.


The NVIDIA Grace CPU is a breakthrough processor designed for modern data centers running AI, cloud, and HPC applications. It provides outstanding performance and memory bandwidth with 2X the energy efficiency of today’s leading server processors.

Fifth-Generation NVIDIA NVLink

Unlocking the full potential of exascale computing and trillion-parameter AI models requires swift, seamless communication between every GPU in a server cluster. The fifth-generation of NVLink is a scale–up interconnect that unleashes accelerated performance for trillion- and multi-trillion-parameter AI models.

NVIDIA Networking

The data center’s network plays a crucial role in driving AI advancements and performance, serving as the backbone for distributed AI model training and generative AI performance. NVIDIA Quantum-X800 InfiniBand, NVIDIA Spectrum™-X800 Ethernet, and NVIDIA BlueField®-3 DPUs enable efficient scalability across hundreds and thousands of Blackwell GPUs for optimal application performance.


GB200 NVL721 Specs

NVIDIA GB200 NVL72 Specs

1. Preliminary specifications. May be subject to change.
2. With sparsity.