But exactly how DeepSeek's developers managed this feat is likely down to a clever hack. A virtual DPU on the GPU itself.
The development of DeepSeek-V3 was probably much more expensive than suggested. The company is said to have access to 60,000 ...
Each node in the cluster DeepSeek trained on ... bandwidth compared to the H100, and this, naturally, affects multi-GPU communication performance. DeekSeek-V3 required a total of 2.79 million ...
Now, in a move that’s going to further shake Western firms, the South China Morning Post reports Huawei Technologies’ cloud computing unit has partnered with Beijing-based AI infrastructure start-up ...
Holtzman Vogel’s Oliver Roberts examines Chinese startup DeepSeek’s success, arguing that the US is poised to maintain AI ...
At the cost of $2 per GPU hour – we have no idea if that is ... of GPUs to see if what DeepSeek is claiming is true. On 2,048 H100 GPUs, it would take under two months to train DeepSeek-V3 if what the ...
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