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1024 Huawei Ascend superpods = 50K 910C chips. That is a tiny tiny system. OpenAI uses _milions_ of GPUs for training On the other hand, this probably reuses
by throwa356262 3mo ago
1024 Huawei Ascend superpods = 50K 910C chips.
That is a tiny tiny system. OpenAI uses _milions_ of GPUs for training
On the other hand, this probably reuses the existing deepseek v4 architecture and weights. Maybe didn't need that much compute.
- mrngld 3mo agoI'm sure it also takes more compute effort to be at the frontier, rather than being able to distill and poach ideas from the frontier. No mistake that it's the same handful of labs taking turns at or near the frontier.
- throwa356262 3mo agoI don't understand why people keep repeating this nonsense. Anthropic claims deepseek has made 150K requests to their servers. Even if this number is correct, it takes far more requests to distill from a 3.2T model into a 1.6T model. 150K is closer to running a few benchmarks. If anything, deepseek together with googles deepmind are the ones innovating while Anthropic and openAI are spending money and time on politics to try to hinder or ban competition.
- deleted 3mo ago[deleted]
- MikuMikuMe 3mo agoLets wait for them to open source it. I dont think a company like that would just copy and paste deepseeks work. Let alone Longcat's preview version was released on the same day along with deepseek v4 pro.