Serving DeepSeek-V4: why million-token context is an inference systems problem
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More DeepSeek News
- 01:32 X: X.PIN (@thexpin)
DeepSeek is close to raising at least 80 billion yuan ($12 billion), up from its original target of about 50 billion yuan, Bloomberg repo...
- 23:20 X: ARC Prize (@arcprize)
DeepSeek V4.1 Flash from @deepseek_ai on ARC-AGI (Verified):
- 19:32 X: Testing Catalog (@testingcatalog)
DEEPSEEK 🔥: A new DeepSeek Harness app is now available for macOS, Windows, and Linux.
DEEPSEEK 🔥: A new DeepSeek Harness app is now available for macOS, Windows, and Linux.DeepSeek Harness v0.2 is a desktop app powered by DeepSeek models that can execute work and coding tasks.Plugins and Workspaces are supported out of the box.Into the Unknown 👀
- 21:00 NVIDIA Blog (RSS)
Productive, Durable, Fungible: How NVIDIA AI Factories Maximize Return on Investment
AI factories are built by the megawatt, even by the gigawatt. Each megawatt factory costs roughly $60 million, and AI factory operators will only commit capital on that scale with a clear view of the return on investment. Three key things shape AI factory returns: Earning capacity: What the factory could earn in a year if it sold every token it can produce. Useful life: How long its AI hardware keeps earning. Demand: How much demand there is for those tokens. Strength cannot fully offset weaknes