Wild rumor coming out of China this morning on DeepSeek V5:
DeepSeek is reportedly already pretraining V5 as a ~2 Trillion parameter ultra-sparse MoE model.
And instead of training on NVIDIA GPUs, they are reportedly running the V5 pretraining run on Huawei's new Ascend 950 / 950DT chips with a team of Huawei kernel engineers physically working inside DeepSeek's offices to keep the cluster humming.
If DeepSeek pulls off a 2-trillion-parameter frontier run natively on Ascend 950 silicon, that changes the entire AI hardware story.
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Moonshot's open-weight Kimi K3.1 Pro just pulled off a clean sweep on Artificial Analysis's enterprise capability rankings.
Across Finance, Strategy, Legal, Healthcare, Engineering, and Economics, Kimi K3.1 Pro ranked #1# in every single category among open models beating Ling 3.1 Flash, DeepSeek V4.1 Flash 1017, GLM-5.3, and Meta's Muse Spark Open.
Plus, SGLang merged PR #49472# today adding "breakable CUDA graphs" specifically for Kimi K3.1's hybrid linear attention, cutting prefill latency in half (-53%).
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