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GeForce RTX 3070 Laptop GPU: Notebook-Chips werden für das Mining zweckentfremdet

GeForce RTX 3070 Laptop GPU: Laptop Chips Misused for Mining

Image: Pexels

Nvidia’s Chinese OEM partners are now also using the GeForce RTX 3070 (test) laptop GPU, which was actually designed for use in gaming laptops, as “GeForce RTX 3070M” in desktop graphics cards to mine Ethereum cryptocurrency . Throughput is estimated at 60 – 65 MH/s.

GPU for laptops in graphics cards for mining

In Chinese online trading platform Taobao Nvidia’s Chinese OEM partners offer a variety of custom “GeForce RTX 3070M” 8GB designs, which are desktop graphics cards based on the GeForce RTX 3070 laptop GPU with the Ampere GA104-770-A1 graphics processor with 5,120 ALU swaps.

The Twitter user first became aware of the many offers from the Chinese online retailer. @I_Leak_VNwho shared the information through the short message service.

A search on the online trading platform also promotes this additional offers of “misused” portable GPUs from Nvidia.

  • Nvidia GeForce RTX 3070 GPU for laptops
  • Nvidia GeForce RTX 3060 GPU for laptops
  • Nvidia GeForce RTX 3050 GPU for laptops

The specifications of the mining graphics cards mentioned by the OEM partners also match those of Nvidia’s laptop GPUs.

65 MH/s at 100 Watt possible

It typically uses GA104 and GA106 GPUs with 5120 and 3840 CUDA cores, respectively, and is advertised with an average hash rate of 60 to 65 MH/s while consuming 100 watts.

Nvidia GeForce RTX 3070 Laptop GPU in a Desktop Graphics Card
Nvidia GeForce RTX 3070 laptop GPU in a desktop graphics card (Image: Taobao)

Complete systems in use, so-called mining rigs, based on the GeForce RTX 3070 laptop GPU converted into a mining or desktop graphics card, can already be found on Taobao.

65MH/s from 90 to 100 watts
65 MH/s from 90 to 100 watts (Image: Taobao)

Here too, the Ampere mobile graphics card reaches a maximum speed of up to 65 MH/s with a consumption of 90 to 100 watts.

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The editors would like to thank community member “konkretor” for pointing this out.