News from the AI & ML world
Jaime Hampton@AIwire
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DeepSeek's innovative AI models are reshaping China's AI data center infrastructure, leading to a market disruption and potentially underutilized resources. The company's DeepSeek-V3 model has demonstrated performance that rivals ChatGPT but at a significantly reduced cost. This has altered the demand for extensive GPU clusters used in traditional AI training, shifting the focus towards hardware prioritizing low-latency, particularly near tech hubs. This has resulted in increased speculation as well as experienced players who are now posed with the challenge of the DeepSeek V3.
The open-source nature of DeepSeek’s model is also allowing smaller players to compete without the need for extensive pretraining, which is undermining the demand for large data centers. DeepSeek-V3, which runs at 20 tokens per second on a Mac Studio, poses a new challenge for existing AI models. Chinese AI startups are now riding DeepSeek's momentum and building an ecosystem that is revolutionizing the AI landscape. This narrows the technology divide between China and the United States.
ImgSrc: www.aiwire.net
References :
- AI News: DeepSeek disruption: Chinese AI innovation narrows global technology divide
- Sify: DeepSeek’s AI Revolution: Creating an Entire AI Ecosystem
- Composio: Deepseek v3-0324 vs. Claude 3.7 Sonnet
- AIwire: Report: China’s Race to Build AI Datacenters Has Hit a Wall
- Quinta?s weblog: DeepSeek-V3 now runs at 20 tokens per second on Mac Studio, and that’s a nightmare for OpenAI
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