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NVIDIA GB200 Superchip: What’s Inside and How It Differs From NVL72

The GB200 Grace Blackwell Superchip pairs one Grace CPU with two Blackwell GPUs. Here’s how it differs from the 72-GPU NVL72 rack system.
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The NVIDIA GB200 Grace Blackwell Superchip is one Grace CPU connected to two Blackwell Tensor Core GPUs. It is a component, not the entire GB200 NVL72 rack. NVIDIA describes the connection as a high-bandwidth, memory-coherent link that lets the processors access a unified memory space.

What the Grace Blackwell Superchip contains

GB200 combines processors built for different roles: a Grace CPU and two Blackwell GPUs. NVIDIA identifies NVLink-C2C as the interconnect joining them. This makes GB200 a heterogeneous CPU-GPU computing component rather than a single conventional processor.

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NVIDIA specifies 900 GB/s of bidirectional bandwidth for NVLink-C2C and describes the connection as providing coherent access to a unified memory space. In practical terms, the design is intended to let the CPU and GPUs exchange data while working within a coherent memory environment. That architectural description does not by itself guarantee a particular application’s speed.

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See NVIDIA’s GB200 NVL Multi-Node Tuning Guide for its component and interconnect description, and its GB200 NVL72 architecture overview for the unified-memory explanation.

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GB200 superchip versus GB200 NVL72

The names refer to different scales of hardware. A GB200 superchip is the CPU-and-GPU unit; GB200 NVL72 is a liquid-cooled, rack-scale system built from many such components and linked with NVLink.

Configuration Grace CPUs Blackwell GPUs What the name means
GB200 Grace Blackwell Superchip 1 2 One CPU-GPU component
GB200 NVL72 system 36 72 A rack-scale system

NVIDIA lists the system-level counts on its GB200 NVL72 product page; its DGX GB Rack Scale Systems User Guide covers the rack-scale systems. The “72” in NVL72 refers to the system’s 72 GPUs, not the number of GPUs in one superchip.

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What NVIDIA’s specifications describe

NVIDIA’s current GB200 NVL72 product page, accessed October 7, 2026, lists the following figures for the GB200 Grace Blackwell Superchip. The page does not state a publication year, and it notes that projected performance is subject to change.

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Specification NVIDIA-listed value
NVFP4 Tensor Core performance 20 PFLOPS
HBM3E GPU memory 372 GB
GPU memory bandwidth 16 TB/s
NVLink bandwidth 3.6 TB/s
NVLink-C2C bandwidth 900 GB/s bidirectional

These are NVIDIA’s published specifications, not independent benchmark results. The company’s product page provides workload and system assumptions for its NVL72 training and inference comparisons; results depend on those conditions and should not be treated as a universal application-speed guarantee.

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Why Blackwell’s architecture matters

Blackwell adds a second-generation Transformer Engine and FP4 support. NVIDIA says the engine combines Blackwell Tensor Core technology with software innovations to accelerate large language model and mixture-of-experts training and inference. Those are intended capabilities; actual performance depends on the workload, software, system configuration, and measurement conditions.

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