---
product_id: 551699095
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: "€ 264.71"
currency: EUR
in_stock: true
reviews_count: 5
category: "Chenyang"
url: https://www.desertcart.fi/products/551699095-chenyang-oculink-sff-8612-to-pci-e-3-0-4
store_origin: FI
region: Finland
---

# 32 Gbps ultra-fast data transfer Oculink SFF-8612 & PCI-E X16 compatibility PCIe 4x NVMe protocol for peak performance 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:** € 264.71
**Availability:** ✅ In Stock

## Summary

> ⚡ Supercharge your setup with seamless eGPU & SSD power boosts!

## 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?** € 264.71 with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.fi](https://www.desertcart.fi/products/551699095-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 ultra-high bandwidth that crushes bottlenecks and accelerates workflows.
- • **Plug & Play Versatility:** Includes all adapters and cables for instant setup on Windows & Linux systems.
- • **Unlock External GPU Power:** Seamlessly connect eGPUs & SSDs via Oculink SFF-8612 for next-level graphics and storage.
- • **Compact & Lightweight Design:** Sleek 10x10 cm form factor fits effortlessly into your professional tech arsenal.
- • **Future-Proof PCIe 4.0 Support:** Harness PCIe 3.0/4.0 M.2 M-Key tech for cutting-edge NVMe SSD and GPU performance.

## Overview

The Chenyang Oculink SFF-8612 to PCI-E 3.0/4.0 M.2 M-Key adapter enables professionals to connect external graphics cards and NVMe SSDs via a high-speed 32 Gbps PCIe 4x interface. Compatible with Windows and Linux, it offers a compact, plug-and-play solution to elevate computing performance with cutting-edge Oculink and PCIe technology.

## 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

## Features

- 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.

## Technical Specifications

| Specification | Value |
|---------------|-------|
| ASIN | B0BZW1G87R |
| Best Sellers Rank | #28,225 in Computers & Accessories ( See Top 100 in Computers & Accessories ) #171 in Internal Solid State Drives |
| Brand | chenyang |
| Brand Name | chenyang |
| Colour | Black |
| Compatible Devices | Laptop |
| Connector Type | Oculink SFF-8612, PCI-E X16 |
| Customer Reviews | 4.4 out of 5 stars 158 Reviews |
| Item Dimensions | 10 x 10 x 1 Centimeters |
| Item Package Quantity | 1 |
| Item Weight Unit of Measure | 0.02 Kilograms |
| Item dimensions L x W x H | 10 x 10 x 1 Centimeters |
| Manufacturer | CY |
| Manufacturer Part Number | CY-SF-014+SF-061 |
| Model Number | CY-SF-014+SF-061 |
| Number of Items | 1 |
| Number of Ports | 1 |
| Power Plug Type | No Plug |
| Product Finish Type | Pci-e |
| Specific Uses For Product | PC |
| Unit Count | 1.0 Count |

## Product Details

- **Compatible Devices:** Laptop
- **Specific Uses For Product:** PC
- **Connector Type:** Oculink SFF-8612, PCI-E X16
- **Colour:** for GPD WIN Max2
- **Item dimensions L x W x H:** 10 x 10 x 1 Centimeters

## 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)
![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 2](https://m.media-amazon.com/images/I/61ST1lNSIBL.jpg)
![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 3](https://m.media-amazon.com/images/I/616TqD7B8bL.jpg)
![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 4](https://m.media-amazon.com/images/I/61PKarhR0NL.jpg)
![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 5](https://m.media-amazon.com/images/I/51PBXXb0ZKL.jpg)

## Available Options

This product comes in different **Color** options.

## 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 Finland*
*Store origin: FI*
*Last updated: 2026-08-08*