Deepseek

Microsoft unveils MAI-Base-2 MoE with 2.8T total, 80B active parameters: Microsoft unveiled MAI-Base-2, a mixture-of-experts model with 2.8T total and 80B active parameters. It claims 4x-12x more pretraining FLOPs-efficiency than DeepSeek-V4-Pro-Base. Microsoft also cited MAI-Thinking-1, a general-purpose foundation model post-trained on MAI-Base-1 announced in June.

AI Models • Techmeme

DeepSeek open-sources Ascend AI libraries as Huawei details SuperPoD Flex: DeepSeek has open-sourced Ascend-compatible versions of its AI libraries, including TileLang, DeepGEMM, DeepEP, TileKernels, FlashMLA, and DeepSelect. Concurrently, Huawei detailed a jointly defined 128-card SuperPoD Flex hardware design.

Infrastructure • Pandaily