: A dedicated engine speeds up data analytics by decompressing data natively, performing up to 18x faster than traditional CPUs for database queries. Deployment and Cooling GB200 NVL72 | NVIDIA
, a powerhouse component designed for exascale AI supercomputing.
: Each superchip contains two Blackwell-architecture GPUs, which feature 208 billion transistors and support new FP4 AI precisions for massive performance gains. cpu gb2 work
: This chip-to-chip interface provides 900 GB/s of bidirectional bandwidth between the Grace CPU and Blackwell GPUs. It enables a unified memory domain , meaning both the CPU and GPUs can access the same data pool with minimal latency.
delivers 30 times faster real-time inference compared to the previous H100 generation. : A dedicated engine speeds up data analytics
: Advanced memory bandwidth and interconnects allow for 4x faster training of large models at scale.
This superchip is a unified high-performance computing system that combines one with two NVIDIA Blackwell GPUs . By bridging these components over a high-speed interconnect, it functions as a single, massive computing unit optimized for trillion-parameter AI models. Architecture: How the GB200 Works : This chip-to-chip interface provides 900 GB/s of
: The system combines up to 480 GB of LPDDR5X CPU memory and 384 GB of HBM3e GPU memory . This total of 896 GB of coherent memory is critical for running massive Large Language Models (LLMs) that exceed the capacity of traditional single-die chips. Key Performance Capabilities