> ## Documentation Index
> Fetch the complete documentation index at: https://docs.coreweave.com/llms.txt
> Use this file to discover all available pages before exploring further.

# GB300 NVL72 Quantum-X InfiniBand

> Specifications and availability for the GB300 NVL72 Quantum-X InfiniBand GPU instance

Powered by four NVIDIA GB300 Superchips, each featuring a "Blackwell Ultra" GPU with an unprecedented 279 GB of memory, these instances represent the absolute pinnacle of our high-performance computing offerings. These instances form part of a larger NVL72 rack architecture which boasts 21 TB of total GPU memory, interconnected by 5th-generation NVLink for a seamless, rack-scale memory fabric. For clustering, they are equipped with next-generation NVIDIA Quantum-X800 InfiniBand and ConnectX-8 SuperNICs, delivering a groundbreaking 800 Gbps of network bandwidth, double that of the previous generation.

## Specifications

| Feature                   | Detail                                                   |
| :------------------------ | :------------------------------------------------------- |
| **Category**              | State-of-the-Art Compute                                 |
| **Instance ID**           | `gb300-4x`                                               |
| **GPU**                   | 4x NVIDIA GB300                                          |
| **GPU RAM**               | 279 GB                                                   |
| **GPU Connectivity**      | Quantum-X800 InfiniBand & NVLink                         |
| **CPU Model**             | 2x NVIDIA Grace Arm v9 (3.10 GHz)                        |
| **vCPUs**                 | 144                                                      |
| **RAM**                   | 960 GB                                                   |
| **Local Storage**         | 61.44 TB                                                 |
| **Network Speed**         | Dual-port 200GbE                                         |
| **Default GPU driver**    | `580`                                                    |
| **Compatible GPU driver** | `580`, `595`                                             |
| **Availability**          | [**US-WEST-01A**](/platform/regions/us-west#us-west-01a) |

## Primary use cases

Training next-generation foundation models in the trillion-parameter class, massive-scale and high-fidelity inference on the most complex AI models, and scientific simulations requiring maximum memory capacity and the fastest data throughput.

## Recommended models

Next-generation frontier models (multi-trillion parameters), state-of-the-art multimodal systems, and large-scale scientific discovery models.