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

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.

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

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.

Decided to try this in place of my thunderbolt 4 connection, I was blown away by the performance increase! AVG 30-40 FPS increase with my Arc B580 and all my in-game stutters were gone. If you have a spare M.2 SSD bay I highly recommend using this, paired with a cheap 500w power supply and my mini pc it makes for a great way to play games. Specs: Ryzen 7 6800u 32gb ram 1tb M.2 SSD External Intel arc B580 graphics

Dell 3070 Micro MFF now has an RTX 3050 thanks to this and an ITX PSU, Works fine. I used a 2x sata to one 8-pin converter for the very small additional power needed by the GPU.

Ended up getting sent back as wasn't compatible with Rog Ally

I ordered the whole kit which shows the host board, m.2 connector and Oculink adapter but like other reviews have said I only received part of the kit! All I got was the host board and nothing else

It works perfectly with the Dell Optiplex 3070 micro with 0 issues using the gtx 1080.

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.

intel arc a750にて動作しました。 ミニPCのm.2がpcie3.0だったこともありベンチマークスコアとしては直挿し4.0×16より15%〜20%ほど下落しています。 特に不具合もなく相性問題などeGPUではよく話題にあがるものも発生せず安定しています。 ただ私の構成では電源連動はしなかったです。 m.2スロットには付属のカードではなく、別のoculinkメス端子と止めネジがついたものを使用しケースに固定していました。

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

Running pcie4.0 x4 with my 3080ti and it works fine. It has automatic (and manual) switching of the psu which is really good for power saving (auto off in suspend/sleep and when host is off). The pins are quite exposed though so be careful with that.

Used it with N100 mini PC . worked with older hd4770 , failed to work with RTX 2070. Problem is the hd4770 is worst than the integrated graphics. Update: Ended up making the 2070 work on a ryzen 9. So the problem was the N100