微软宣布新一代SOTA基础模型MAI-Base-2完成预训练，官方称其性能强于所有参测开源权重模型。该模型总参数2.8T、活跃参数80B，用6000块英伟达GB200 GPU耗时38天训成，平均浮点算力利用率21%、有效吞吐量89%。其在超大集群上保持高效率，工程实力突出，算力效率更甩开DeepSeek 4至12倍，值得关注。
据报，Anthropic已决定放弃收购AI初创公司Decart。双方曾就约60亿美元交易洽谈，Anthropic完成尽职调查后退出，未来或寻求其他合作。Anthropic正加大算力投入开发新品，而Decart的软件可提升芯片利用效率、降低AI训练运行成本，这或是收购动因，但交易最终未成。
无问芯穹与稀宇科技（MiniMax）签署战略合作，铺设四方向：共优模型推理效能体系、共建大模型Token服务与AI基础设施、联合创新应用范式、共拓行业智能化场景。双方优势互补，无问芯穹长于算力调度与推理基础设施，MiniMax手握自研大模型与海量应用流量，前者以底层算力支撑后者提升推理效率，打通从技术到落地的闭环。
谷歌正秘密研发专用芯片Frozen v2，应对AI算力压力。该芯片将Gemini大模型底层计算逻辑直接固化于硬件，性能功耗比预计可达现役自研芯片的6至10倍。这种软硬融合的设计从架构上重塑算力生态，意在显著提升运算效率。
智能算力即开即用，全面提升效率与竞争力。
Anthropic
$21
Input tokens/M
$105
Output tokens/M
200
Context Length
Google
$0.7
$2.8
1k
Iflytek
$2
-
Baichuan
4
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