DeepSeek's V5 would train almost entirely on Huawei chips to reduce reliance on US hardware, one commentator argues.
DeepSeek reportedly plans to pretrain V5 on Huawei Ascend chips. One commentator says the training would use almost entirely Huawei hardware, framing the move as an attempt to reduce China's reliance on US and Nvidia chips.
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DeepSeek's open-source Super-Agent prototype can monitor developer group chats and suggest coding solutions without being asked, its team says.
The Information links Moonshot’s Kimi K3.1 Pro and DeepSeek’s V4.1-Flash 1017 to OpenAI’s model, Reuters reports.
DeepSeek's open-source Super-Agent prototype can monitor developer group chats and suggest coding solutions without being asked, its team says.
The Information links Moonshot’s Kimi K3.1 Pro and DeepSeek’s V4.1-Flash 1017 to OpenAI’s model, Reuters reports.
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@teortaxesTexObvious enough they can no longer build an Nvidia cluster large enough for what they have planned. the 8T model will come from Huawei NPUs.
@kimmonismusThis represents the next significant step that China - and by extension, Huawei - is attempting to take: achieving as much independence as possible from the U.S. and from NVIDIA chips. That is why, for DeepSeek v5, they have opted to conduct the training almost entirely on Huawei’s own chips. The rationale behind this is that by breaking away from U.S. chips to the greatest extent possible and keeping development within the domestic market, China retains its leverage - specifically regarding rare earth elements - over the West, without having to rely on Western goodwill for the supply of chips.@teortaxesTexObvious enough they can no longer build an Nvidia cluster large enough for what they have planned. the 8T model will come from Huawei NPUs.@kimmonismusThis represents the next significant step that China - and by extension, Huawei - is attempting to take: achieving as much independence as possible from the U.S. and from NVIDIA chips. That is why, for DeepSeek v5, they have opted to conduct the training almost entirely on Huawei’s own chips. The rationale behind this is that by breaking away from U.S. chips to the greatest extent possible and keeping development within the domestic market, China retains its leverage - specifically regarding rare earth elements - over the West, without having to rely on Western goodwill for the supply of chips.@teortaxesTexObvious enough they can no longer build an Nvidia cluster large enough for what they have planned. the 8T model will come from Huawei NPUs.@kimmonismusThis represents the next significant step that China - and by extension, Huawei - is attempting to take: achieving as much independence as possible from the U.S. and from NVIDIA chips. That is why, for DeepSeek v5, they have opted to conduct the training almost entirely on Huawei’s own chips. The rationale behind this is that by breaking away from U.S. chips to the greatest extent possible and keeping development within the domestic market, China retains its leverage - specifically regarding rare earth elements - over the West, without having to rely on Western goodwill for the supply of chips.@teortaxesTexObvious enough they can no longer build an Nvidia cluster large enough for what they have planned. the 8T model will come from Huawei NPUs.@kimmonismusThis represents the next significant step that China - and by extension, Huawei - is attempting to take: achieving as much independence as possible from the U.S. and from NVIDIA chips. That is why, for DeepSeek v5, they have opted to conduct the training almost entirely on Huawei’s own chips. The rationale behind this is that by breaking away from U.S. chips to the greatest extent possible and keeping development within the domestic market, China retains its leverage - specifically regarding rare earth elements - over the West, without having to rely on Western goodwill for the supply of chips.
