---
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: "461 zł"
currency: PLN
in_stock: true
reviews_count: 8
category: "Chenyang"
url: https://www.desertcart.pl/products/530206054-chenyang-oculink-sff-8612-to-pci-e-3-0-m
store_origin: PL
region: Poland
---

# 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:** 461 zł
**Availability:** ✅ In Stock

## Summary

> 🚀 Unlock your laptop’s hidden GPU beast mode!

## 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?** 461 zł with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.pl](https://www.desertcart.pl/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

- • **Blazing 32 Gbps Speed:** Experience lightning-fast data transfer that keeps your workflow uninterrupted and your gaming seamless.
- • **Complete Ready-to-Go Kit:** Includes OCuLink to M.2 M-Key adapter, Oculink cable, and PCI-E X16 adapter—everything you need in one sleek package.
- • **Plug & Play eGPU Powerhouse:** Effortlessly connect external graphics cards and SSDs to your GPD Win Max2 or compatible laptops for instant power boosts.
- • **Cross-Platform Compatibility:** Works flawlessly with Linux Kernel 4.3+ and Windows 8.1/10, ensuring broad system support for professionals on the move.
- • **Next-Gen PCIe 4x NVMe Protocol:** Harness cutting-edge PCI Express 4x signals for superior bandwidth and ultra-low latency performance.

## Overview

The chenyang Oculink SFF-8612 to PCI-E 3.0 M.2 M-Key adapter transforms your laptop’s Oculink interface into a high-bandwidth gateway for external GPUs and SSDs. Supporting PCIe 4x NVMe protocol with blazing 32 Gbps transfer speeds, it delivers professional-grade performance upgrades in a compact, ready-to-use kit compatible with Linux and Windows systems.

## 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 | 11,058 in Computers & Accessories ( See Top 100 in Computers & Accessories ) 49 in SATA Cables |
| Brand | chenyang |
| Brand Name | chenyang |
| Colour | for GPD WIN Max2 |
| Compatible Devices | Laptop |
| Compatible devices | Laptop |
| Connector Type | Oculink |
| Connector type | Oculink |
| Country of Origin | China |
| Customer Reviews | 4.4 out of 5 stars 140 Reviews |
| Item Dimensions | 10 x 10 x 1 centimetres |
| Item Weight | 0.09 Kilograms |
| Item dimensions L x W x H | 10 x 10 x 1 centimetres |
| 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 |
| Specific uses for product | PC |
| Unit Count | 1.0 Count |

## 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 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)

## 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

### ⭐⭐⭐⭐⭐ 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 Poland*
*Store origin: PL*
*Last updated: 2026-03-19*