In its latest report, SemiAnalysis, an independent research company, has spotlighted DeepSeek, a rising player in the AI landscape. The SemiAnalysis challenges some of the prevailing narratives ...
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DeepSeek might not be as disruptive as claimed, firm reportedly has 50,000 Nvidia GPUs and spent $1.6 billion on buildoutsSemiAnalysis says that DeepSeek and its venture capitalist partner spent some $1.6 billion dollar on AI hardware from Nvidia, says SemiAnalysis.
When Chinese quant hedge fund founder Liang Wenfeng went into AI research, he took 10,000 Nvidia chips and assembled a team ...
Cybersecurity firm Tenable reveals its findings about the Chinese AI platform DeepSeek. Here's a summary of their findings.
DeepSeek achieved unprecedented cost-efficiency by reimagining its architecture. The company’s MLA (Multi-head Latent Attention) mechanism drastically reduced memory usage, while its ...
According to SemiAnalysis, DeepSeek operates a large-scale computing infrastructure with 50,000 Nvidia Hopper GPUs. DeepSeek might not be as disruptive as claimed because its AI model R1 reportedly ...
U.S. export controls on advanced semiconductors were intended to slow China's AI progress, but they may have inadvertently spurred innovation.
Chinese LLM developer DeepSeek has the potential to forge more efficient, secure and personalised financial services at a ...
DeepSeek's success primarily stems from its pioneering approach to model architecture. The company introduced a novel MLA (multi-head latent attention) method that lowers memory usage to just 5-13 ...
DeepSeek AI is charging 6.5X more for the R1 model than for ... There are lots of other neat tricks, such as recomputing all RMSNorm operations and recomputing all MLA up-projections during back ...
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