---
product_id: 521791069
title: "Chenyang Oculink SFF-8612 to PCI-E 3.0/4.0 M.2 M-Key to SFF-8611 Host Adapter for eGPU/GPD Win Max2 External Graphics Card & SSD"
brand: "chenyang"
price: "€ 116.29"
currency: EUR
in_stock: false
reviews_count: 5
url: https://www.desertcart.be/products/521791069-chenyang-oculink-sff-8612-to-pci-e-3-0-4
store_origin: BE
region: Belgium
---

# 32 Gbps ultra-fast data transfer Seamless eGPU & SSD external expansion PCIe 4x NVMe protocol support Chenyang Oculink SFF-8612 to PCI-E 3.0/4.0 M.2 M-Key to SFF-8611 Host Adapter for eGPU/GPD Win Max2 External Graphics Card & SSD

**Brand:** chenyang
**Price:** € 116.29
**Availability:** ❌ Out of Stock

## Summary

> 🚀 Upgrade your rig with pro-level external GPU & SSD power!

## Quick Answers

- **What is this?** Chenyang Oculink SFF-8612 to PCI-E 3.0/4.0 M.2 M-Key to SFF-8611 Host Adapter for eGPU/GPD Win Max2 External Graphics Card & SSD by chenyang
- **How much does it cost?** € 116.29 with free shipping
- **Is it available?** Currently out of stock
- **Where can I buy it?** [www.desertcart.be](https://www.desertcart.be/products/521791069-chenyang-oculink-sff-8612-to-pci-e-3-0-4)

## Best For

- chenyang enthusiasts

## Why This Product

- Trusted chenyang brand quality
- Free international shipping included
- Worldwide delivery with tracking
- 15-day hassle-free returns

## Key Features

- • **Blazing 32 Gbps Speed:** Experience lightning-fast data transfer that keeps your workflow and gaming seamless.
- • **Plug & Play eGPU Expansion:** Effortlessly connect external GPUs and SSDs to elevate your mini PC or laptop power.
- • **Cross-Platform Compatibility:** Works flawlessly with Linux Kernel 4.3+ and Windows 8.1/10 for versatile setups.
- • **Complete Adapter Kit Included:** Everything you need—OCuLink to M.2 M-Key adapter, cable, and PCI-E X16 adapter—ready out of the box.
- • **Next-Gen PCIe 4x NVMe Protocol:** Unlock superior bandwidth and performance for your external graphics and storage devices.

## Overview

The Chenyang Oculink SFF-8612 to PCI-E 3.0/4.0 M.2 M-Key adapter enables ultra-high-speed 32 Gbps data transfer using PCIe 4x NVMe protocol, allowing seamless connection of external GPUs and SSDs to devices with Oculink SFF-8612 ports. Compatible with Linux and Windows systems, it comes as a complete kit for hassle-free expansion of your mini PC or laptop’s graphics and storage capabilities.

## Description

1) When your device has an Oculink SFF-8612 interface, you can use this adapter to connect an eGPU and add an external graphics card and SSD to your computer device. 2) It offers higher bandwidth, lower cost, and better performance for external graphics cards & SSD. 3) The card transmits PCI Express 4x signals using the NVMe protocol. 4) Data transfer rate up to 32 Gbps,Supports NVM Express (NVMe) 1.2 5) Package includes: one OCuLink to NVME (M.2 M-Key) adapter, one Oculink cable, one OCuLink to PCI-E X16 adapter. 6) System requirements:Linux Kernel 4.3 or above,Windows 8.1/8.1-64/10/10-64.

Review: Livraison très rapide - Bonsoir, Merci beaucoup pour la rapidité de livraison, le produit me paraît conforme, mais comme c'est pour un cadeau, je ne sais pas s'il fonctionne comme prévu.
Review: It works amazingly - Product works with my gpd win 4 2024, for people struggling to get it to work here's some tips 1. There's a microscopic on and off switch on the board, make sure it's switched on ( i found it after scratching my head for ages ) 2. If you are trying to connect an nvidia card and get code 43 look up nando4 fix You are welcome

## Technical Specifications

| Specification | Value |
|---------------|-------|
| Brand | chenyang |
| Colour | Black |
| Compatible devices | Laptop |
| Connector type | Oculink |
| Item dimensions L x W x H | 10 x 10 x 1 centimeters |
| Specific uses for product | PC |

## Product Details

- **Colour:** for GPD WIN Max2
- **Compatible devices:** Laptop
- **Connector type:** Oculink
- **Item dimensions L x W x H:** 10 x 10 x 1 centimeters
- **Specific uses for product:** PC

## Images

![Chenyang Oculink SFF-8612 to PCI-E 3.0/4.0 M.2 M-Key to SFF-8611 Host Adapter for eGPU/GPD Win Max2 External Graphics Card & SSD - Image 1](https://m.media-amazon.com/images/I/51z5zA3W+pL.jpg)

## Questions & Answers

**Q: Where do I get the cover for the winmax 2, the m.2 cover with an opening for the oculink port?  Is it printable?**
A: You’ll need to print the part yourself using a 3D printer and a readily available design online, or cut a small hole with a Dremel tool in the original cover that the Win Max 2 shipped with.

**Q: is it pcie 3.0 or 4.0 ? what comes in the box ?**
A: Only adapter, supports PCIE4.0, compatible with PCIE3.0 2.0.

**Q: Does it com with the mini m.2 adapter in a way i can use it in gpd win max 2?**
A: https://www.amazon.com/dp/B0BZW1G87R This adapter can support.
The adapter is in transit.

## Customer Reviews

### ⭐⭐⭐⭐⭐ Livraison très rapide
*by L***N on 11 February 2026*

Bonsoir, Merci beaucoup pour la rapidité de livraison, le produit me paraît conforme, mais comme c'est pour un cadeau, je ne sais pas s'il fonctionne comme prévu.

### ⭐⭐⭐⭐⭐ It works amazingly
*by H***E on 4 May 2025*

Product works with my gpd win 4 2024, for people struggling to get it to work here's some tips 1. There's a microscopic on and off switch on the board, make sure it's switched on ( i found it after scratching my head for ages ) 2. If you are trying to connect an nvidia card and get code 43 look up nando4 fix You are welcome

### ⭐⭐⭐⭐⭐ Best value
*by T***G on 7 October 2025*

Really happy with this purchase, it comes with the oculink cable and wifi slot to oculink connector but I bought another one with extender through the nvme slot. Much better than the noisy overpriced Aoostar. The build is combined with RTX 5070 and Corsair RM750e modular PSU for a clean build. Zero noise build, the fan only goes up if temperature passes 50 degrees Celsius. The GPU is turn on and off according to the laptop power state. Plug in, Power up, Install latest Nvidia Driver, Gigabyte control center, code 43 script. I write low level CUDA for a living, so here’s some extra info: - nvidia-smi shows 2 GPUs (my original laptop GPU rtx 3050Ti and this one) - 2 GPUs can communicate through PCIe, I tested a NCCL code for vector addition on 2 GPUs and it worked. - CUDA Code can compile with sm_120, and run no problem. Pytorch recognizes 2 GPUs and set the 5070 as GPU 0. Nsight compute works with debugging and uses 5070 if the code is compiled with sm_120.

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*Product available on Desertcart Belgium*
*Store origin: BE*
*Last updated: 2026-07-18*