Blog Improving DeepEP MoE Load Balance in SGLang with Waterfill and LPLB Mixture-of-Experts (MoE) models rely on Expert Parallelism (EP) to scale inference across multiple GPUs. In SGLang, DeepEP and EPLB provide high-performance serving under EP, but the workload seen by ... NVIDIA Team

DeepSeek is close to raising at least 80 billion yuan ($12 billion), up from its original target of about 50 billion yuan, Bloomberg repo...

DeepSeek V4.1 Flash from @deepseek_ai on ARC-AGI (Verified):

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 👀

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