> ## 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.

# L40

> Specifications, pricing, and availability for the L40 GPU instance

Powered by eight NVIDIA L40 GPUs, each with 48 GB of GDDR6 memory, these instances are designed for exceptional versatility across AI and visual computing. Connected via PCIe, they offer a balanced profile for workloads that include AI inference, rendering, and video processing. They are an ideal entry point for deploying AI-powered services that also have a significant graphics component.

## Specifications

| Feature              | Detail                                                                                                                                                                   |
| :------------------- | :----------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| **Category**         | Professional AI & Graphics                                                                                                                                               |
| **Instance ID**      | `gd-8xl40-i128`                                                                                                                                                          |
| **GPU**              | 8x NVIDIA L40                                                                                                                                                            |
| **GPU RAM**          | 48 GB                                                                                                                                                                    |
| **GPU Connectivity** | PCIe                                                                                                                                                                     |
| **CPU Model**        | Intel Sapphire Rapids 8462Y+ (2.80 GHz)                                                                                                                                  |
| **vCPUs**            | 128                                                                                                                                                                      |
| **RAM**              | 1024 GB                                                                                                                                                                  |
| **Local Storage**    | 7.68 TB                                                                                                                                                                  |
| **Network Speed**    | Dual-port 100GbE                                                                                                                                                         |
| **Availability**     | [**RNO2A**](/platform/regions/us-west#rno2a)<br />[**US-EAST-02A**](/platform/regions/us-east#us-east-02a)<br />[**US-EAST-04A**](/platform/regions/us-east#us-east-04a) |

## Primary use cases

General-purpose AI inference, small-scale model fine-tuning, high-resolution rendering, and virtual desktop infrastructure (VDI).

## Recommended models

Inference for models up to \~40B parameters like Gemma 4 26B or Qwen 3.6 27B; efficient fine-tuning of smaller sub-15B models.