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๐ Elevate your rig: external GPU & SSD power unleashed!
The Chenyang Oculink SFF-8612 adapter transforms your deviceโs M.2 M-Key slot into a high-speed gateway for external GPUs and SSDs, supporting PCIe 3.0/4.0 and NVMe 1.2 with up to 32Gbps transfer rates. Designed for professionals seeking enhanced graphics and storage performance, it offers broad OS compatibility and comes with all necessary cables and adapters for a seamless upgrade.







| ASIN | B0BZW1G87R |
| Amazon Bestseller | #26,484 in Computers ( See Top 100 in Computers ) #378 in Internal Solid State Drives |
| Brand | chenyang |
| Color | For GPD WIN Max2 |
| Compatible Devices | Laptop |
| Connector Type | PCI Express |
| Country of Origin | China |
| Customer Reviews | 4.4 4.4 out of 5 stars (146) |
| Finish | Pci-e |
| Item Dimensions | 10 x 10 x 1 cm |
| Item Weight | 0.09 Kilograms |
| Manufacturer | CY |
| Mfr Part Number | CY-SF-014+SF-061 |
| Model Number | CY-SF-014+SF-061 |
| Number of Items | 1 |
| Number of Ports | 1 |
| Package Quantity | 1 |
| Power Plug Type | No Plug |
| Smart Home Compatibility | Not Smart Home Compatible |
| Unit Count | 1.0 Count |
K**I
intel arc a750ใซใฆๅไฝใใพใใใ ใใPCใฎm.2ใpcie3.0ใ ใฃใใใจใใใใใณใใใผใฏในใณใขใจใใฆใฏ็ดๆฟใ4.0ร16ใใ15%ใ20%ใปใฉไธ่ฝใใฆใใพใใ ็นใซไธๅ ทๅใใชใ็ธๆงๅ้กใชใฉeGPUใงใฏใใ่ฉฑ้กใซใใใใใฎใ็บ็ใใๅฎๅฎใใฆใใพใใ ใใ ็งใฎๆงๆใงใฏ้ปๆบ้ฃๅใฏใใชใใฃใใงใใ m.2ในใญใใใซใฏไปๅฑใฎใซใผใใงใฏใชใใๅฅใฎoculinkใกใน็ซฏๅญใจๆญขใใใธใใคใใใใฎใไฝฟ็จใใฑใผในใซๅบๅฎใใฆใใพใใใ
H**E
๏ผฐ๏ผฃใฎON.OFFใจ้ฃๅๅบๆฅใใ100็น๏ผ
่ณผ**X
ใใpc(K8)ใซeGPUไปใใใใฆ่ณผๅ ฅใ ใใฎใฌใใฅใผๆฌใฎไปใฎๆนใใใฃใฆใใใใใซใ้ทๅฐพ่ฃฝไฝๆใฎGPUๅฐใจในใใผใตใผใจ็ฃ็ณใงๅบๅฎใใฆใใพใใ ็งใ่ฒทใใฟใคใใณใฐใงDEG1ใๅคไธใใใใฎใจใๅฐๆฅใใpcใๆๆพใใฎใซ้ช้ญใชใฎใงๅฐใใใใกใใซใใพใใใ ๅ้กใชใ่ช่ญใใPCใจใฎ้ปๆบ้ฃๅใใงใใฆใใๆบ่ถณใงใใ
ใ **ใ
้ปๆบใฎ้ฃๅใฏใใพใใใ LEDใฏ้ฃๅใใพใใ ๅฎใใฎใงๅ้กใชใใ ็งใฏไฝๆ ใm.2ใๅใใชใใฃใใฎใงๅฅใฎใ่ฒทใใพใใใใใใงใๅฎใใฃใใฎใงใ
ใ**ใ
deskmini H470ใซใฐใฉใใๅใไปใใ็บใซ่ณผๅ ฅใใพใใใ ใฟใชใใใPCๆฌไฝใจ้ปๆบ้ฃๅใใชใใจใฌใใฅใผใซๆธใใฆใใใพใใใฎใง่ฆๆใใฆใใใฎใงใใ ใใผใธใงใณใๅคใใฃใใฎใใ็งใฎๅ ดๅใใฉใใญใผใ ใฃใใฎใใฏๅใใใพใใใ... ้ปๆบ้ฃๅใใพใใใ ไปๅฑใฎM.2ๅคๆใซใผใใdeskminiใซ็ฉ็็ใซๅไปใใงใใชใ(M.2ใ2280ใใๅบๅฎใงใใชใ๏ผ ใใถใผ่ฃๅดใฎPCI-E 4.0ในใญใใใซใฏใฑใผในใซๆฅ่งฆใใใฎใงๅไปใใใใชใ)ใฎใง ๅฅใฎๅคๆใซใผใใๆณจๆไธญใงใใ ๅ ใฟใซๅบ็คใใๅบใใงใฏๅฟ่จฑใชใใฎใง... ๅบ็คใจใฐใฉใๅบๅฎ็จใซ้ทๅฐพ่ฃฝไฝๆ ใฐใฉใใฃใใฏใใผใ ใใฃในใใฌใคๅฐ NB-VGA-DP01 https://www.amazon.co.jp/dp/B07TRKHP5W?ref=ppx_yo2ov_dt_b_fed_asin_title ๅบ็คใจใใฃในใใฌใคๅฐใในใใผใตใผใจ็ฃ็ณใไฝฟใ https://www.amazon.co.jp/dp/B0D7C1N68Q?ref=ppx_yo2ov_dt_b_fed_asin_title https://www.amazon.co.jp/dp/B0BZD84VLJ?ref=ppx_yo2ov_dt_b_fed_asin_title&th=1 ๅบๅฎใใพใใใ
้บ**็ฆ
ๅบ็คใฎonoffใฎในใคใใใไปใใฆใพใใใฉใใฎๅ ใฎ้จๅใ็กใใฎใง ใปใปใปในใคใใใๆฉ่ฝใใฆใใชใ -1 ใง ่ฃฝๅ็ปๅใจ้ใใใฎใๆฅใใใฃใใ -3 ในใคใใใซ้ ็ทใๆฅใฆใชใใฎใๆฅใฆใฆในใคใใใงใใใoffใซใใฆใใใ ใใชใฎใ ใพใ็จผๅใใฆใใใฎใจATX้ปๆบใไธใ onoffใใฆใใฎใงใใฎใพใพไฝฟใฃใฆใพใใ(็ฌ)
M**R
Good
Good
C**H
PCI-Eใฎใฐใฉใใจๆฅ็ถใใฆ็กไบใซๅไฝใใพใใ
L**N
Bonsoir, Merci beaucoup pour la rapiditรฉ de livraison, le produit me paraรฎt conforme, mais comme c'est pour un cadeau, je ne sais pas s'il fonctionne comme prรฉvu.
H**E
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
T**G
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 hereโs 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.
S**E
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
A**M
... andava bene. A quasi un anno dall'acquisto ha pero' smesso di funzionare. Restituito e rimborsato da amazon, che in questo sono dei signori. Sostituito con il Dock della Minisforum
Trustpilot
2 months ago
1 week ago