GB200 NVL72 introduces cutting-edge capabilities and a second-generation Transformer Engine, which enables FP4 AI. When coupled with fifth-generation NVIDIA NVLink, it 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, optimized for high-throughput, low-latency AI Inference. Additionally, the GB200 NVL72 uses NVLink and liquid cooling to create a single massive 72-GPU rack that can overcome communication bottlenecks.

GB200 NVL72 features a faster second-generation Transformer Engine, offering FP8 precision and 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 TB/s of GPU-to-GPU interconnect, InfiniBand networking, and NVIDIA Magnum IO™ software.

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.

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.