nvidia-rubin-gpu
Source details
Source revision: e93d04c256b3cb496fb071e1a2e5eafd64a23ebfc3a1c3a634c33e8795c582f5
NVIDIA · Data center · GPU
NVIDIA Rubin GPU 288GB
Exact Rubin GPU reference specifications and AI deployment guidance, separated from FusionPointAI commercial inventory.
VRAM288 GB
Memory technologyHBM4
Form factorManufacturer reference design
InterfaceManufacturer platform specific
PowerNot listed
Current
Reference only
Technical diagrams
Specifications
| Field | Value |
|---|---|
| Manufacturer | NVIDIA |
| Exact SKU | Rubin GPU |
| Product family | NVIDIA Rubin GPU |
| Architecture | Rubin |
| Generation | Rubin |
| Entity type | GPU |
| Lifecycle | Current |
| Launch date | Not listed |
| VRAM | 288 GB |
| Memory technology | HBM4 |
| Memory bandwidth | 22,000 GB/s |
| Power | Not listed |
| Interface | Manufacturer platform specific |
| Form factor | Manufacturer reference design |
| Interconnect | NVLink 6 |
| MIG / partitioning | Not supported |
| Supported numeric formats | FP64, FP32, TF32, BF16, FP16, FP8, FP6, FP4, INT8 |
| Software stack | cuda |
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
Designed for sustained accelerator workloads; training suitability depends on interconnect, precision and cluster topology.
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 6 is the recorded interconnect path; topology must still be validated at node level.
Software ecosystem
cuda
Product timeline
Technical diagrams
This is not a product photograph.
Related models
Official manufacturer source
https://www.nvidia.com/en-us/data-center/vera-rubin-nvl72/
Last verified: 2026-08-24