---
product_id: 530206054
title: "chenyang Oculink SFF-8612 to PCI-E 3.0 M.2 M-Key to SFF-8611 Host Adapter for GPD Win Max2 External Graphics Card & SSD"
brand: "chenyang"
price: "€ 98.70"
currency: EUR
in_stock: true
reviews_count: 13
category: "Chenyang"
url: https://www.desertcart.hr/products/530206054-chenyang-oculink-sff-8612-to-pci-e-3-0-m
store_origin: HR
region: Croatia
---

# 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 M.2 M-Key to SFF-8611 Host Adapter for GPD Win Max2 External Graphics Card & SSD

**Brand:** chenyang
**Price:** € 98.70
**Availability:** ✅ In Stock

## Summary

> 🚀 Elevate your portable powerhouse — external GPU & SSD unleashed!

## Quick Answers

- **What is this?** chenyang Oculink SFF-8612 to PCI-E 3.0 M.2 M-Key to SFF-8611 Host Adapter for GPD Win Max2 External Graphics Card & SSD by chenyang
- **How much does it cost?** € 98.70 with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.hr](https://www.desertcart.hr/products/530206054-chenyang-oculink-sff-8612-to-pci-e-3-0-m)

## 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

- • **Compact, All-Inclusive Kit:** Includes OCuLink cable and adapters for a clean, noise-free, modular build—no extra purchases needed.
- • **Blazing-Fast 32 Gbps Bandwidth:** Experience lag-free, high-speed data transfer that keeps up with your demanding workflows.
- • **Unlock Next-Level Graphics Power:** Transform your GPD Win Max2 with external RTX-class GPUs for desktop-grade visuals on the go.
- • **Plug & Play with Broad OS Support:** Compatible with Windows 8.1+ and Linux Kernel 4.3+, ensuring hassle-free setup across platforms.
- • **Future-Proof PCIe 4x NVMe Protocol:** Leverage cutting-edge PCIe 4x signaling for maximum performance and reliability in external GPU and SSD setups.

## Overview

The chenyang Oculink SFF-8612 to PCI-E 3.0 M.2 M-Key adapter enables GPD Win Max2 users to connect external graphics cards and SSDs via a high-speed 32 Gbps PCIe 4x NVMe interface. Compatible with Windows and Linux, it offers a compact, all-in-one solution including cables and adapters for seamless, noise-free expansion of your device’s graphical 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: Best value - 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.
Review: Works well with no issues. - I was surprised how well this work with my gpu connected to my PI. Well worth the money.

## 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 | 31,148 in Computers & Accessories ( See Top 100 in Computers & Accessories ) 181 in SATA Cables |
| Brand Name | chenyang |
| Colour | Black |
| Compatible Devices | Laptop |
| Connector Type | Oculink |
| Country of Origin | China |
| Customer Reviews | 4.4 4.4 out of 5 stars (144) |
| Item Dimensions | 10 x 10 x 1 centimetres |
| Item Weight | 0.09 Kilograms |
| Manufacturer | CY |
| Model Number | CY-SF-014+SF-061 |
| Number of Items | 1 |
| Number of Ports | 1 |
| Package Quantity | 1 |
| Power Plug Type | No Plug |
| Product Finish Type | Pci-e |
| Specific Uses For Product | PC |
| Unit Count | 1.0 count |

## Product Details

- **Colour:** Black
- **Compatible devices:** Laptop
- **Connector type:** Oculink
- **Item dimensions L x W x H:** 10 x 10 x 1 centimetres
- **Specific uses for product:** PC

## Images

![chenyang Oculink SFF-8612 to PCI-E 3.0 M.2 M-Key to SFF-8611 Host Adapter for 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

### ⭐⭐⭐⭐⭐ 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.

### ⭐⭐⭐⭐⭐ Works well with no issues.
*by M***S on 20 January 2026*

I was surprised how well this work with my gpu connected to my PI. Well worth the money.

### ⭐⭐⭐⭐⭐ Great M2 to Occulink expansion option
*by O***O on 16 September 2025*

To avoid any confusion I received the full package of M2-Occulink adaptor, Occulink cable and PCI-E to Occulink board (I noted some confusion in other reviews over what was expected vs received). This is working exactly as expected with my 6800H based mini PC and ARC A750, ReBar is even enabled(!). I had to get a little M2 extender / adaptor for my build but if you have a spare 2230 slot this is perfectly compatible. Great value for money as long as you don't mind a bit of "jank" in the overall setup.

## Frequently Bought Together

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*Product available on Desertcart Croatia*
*Store origin: HR*
*Last updated: 2026-04-27*