this post was submitted on 03 May 2026
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282
Jensen Huang says Nvidia now has 'zero percent' market share in China — says US export policy 'has already largely backfired' (www.tomshardware.com)
submitted 11 hours ago by stumu415@lemmy.zip to c/technology@lemmy.world
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[–] Gsus4@mander.xyz 13 points 10 hours ago* (last edited 10 hours ago) (2 children)

So...what are the "brands" of GPUs that China uses/sells instead? Are they mentioned at all? And can I order one?

[–] clifmo@programming.dev 2 points 6 hours ago

Lisuan 7G100 gains WHQL certification ahead of May 20 launch, production now at full steam - VideoCardz.com https://share.google/tWQSLKj7OY2pgquUC

[–] frongt@lemmy.zip 10 points 10 hours ago (2 children)

There are a bunch, and you can't buy them retail as far as I know, but I'm sure you can find them on aliexpress and eBay.

But they're currently several years behind current nvidia chips. It'll take a couple more before they're globally competitive.

[–] RIotingPacifist@lemmy.world 5 points 7 hours ago (1 children)

Several years behind in what sense?

AI workloads in datacenters don't care if the silicone is slightly bigger or less efficient, an AI workload doesn't need fancy instruction sets.

for use in desktops or laptops, sure NVIDIA can be years ahead but for AI stuff do their improvements really matter?

[–] zbyte64@awful.systems 1 points 4 hours ago* (last edited 4 hours ago) (1 children)

Well we all don't have a government pursuing renewable that makes power costs predictably drop over time. Efficiency matters when I'm looking at my power bill thay went up because of a near by data center being built

[–] RIotingPacifist@lemmy.world 1 points 3 hours ago

That sucks for Chinese residents if the power company will jack up their prices, but is it going to make a huge difference in an industry where all companies are losing money to pay slightly more for the electricity?

[–] fuckwit_mcbumcrumble@lemmy.dbzer0.com 8 points 9 hours ago

But what they do have is fuck tons of vram which is very important for AI workloads.