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NVIDIA · Platform · Rack system

NVIDIA GB300 NVL72

Exact GB300 NVL72 reference specifications and AI deployment guidance, separated from FusionPointAI commercial inventory.

VRAM20000 GB
Memory technologyHBM3e
Form factorRack scale · 72 GPU · Platform
InterfaceMGX NVL72
PowerNot listed
Current Reference only

Specifications

FieldValue
ManufacturerNVIDIA
Exact SKUGB300 NVL72
Product familyNVIDIA GB300
ArchitectureBlackwell Ultra
GenerationBlackwell Ultra
Entity typeRack system
LifecycleCurrent
Launch dateNot listed
VRAM20000 GB
Memory technologyHBM3e
Memory bandwidthNot listed
PowerNot listed
InterfaceMGX NVL72
Form factorRack scale · 72 GPU · Platform
InterconnectNVLink 5
MIG / partitioningNot supported
Supported numeric formatsFP64, FP32, TF32, BF16, FP16, FP8, FP6, FP4, INT8
Software stackcuda, vllm, sglang, tensorrt-llm

AI workload suitability

LLM inference

High memory capacity supports large checkpoints and multi-GPU inference when runtime and topology are certified.

Fine-tuning and training

Suitable for limited fine-tuning and development when software support, cooling and memory capacity are verified.

Image, video and embeddings

FP16 acceleration supports common generative and vector workloads within the listed VRAM envelope.

Power and cooling

The manufacturer does not publish a directly comparable board-power value for this entity.

Multi-GPU use

NVLink 5 is the recorded interconnect path; topology must still be validated at node level.

Software ecosystem

cuda, vllm, sglang, tensorrt-llm

Product timeline

nvidia-gb300-nvl72

Source details

Official source

Source revision: 6585804e67cec6503bab9d4805d60aee8c77f05fe614b99b3d8dfcf577ebb9d4

Technical diagrams

This is not a product photograph.

Related models

Official manufacturer source

https://www.nvidia.com/en-us/data-center/products/

Last verified: 2026-08-24