8月27日，Anthropic以研究预览形式推出“模型硬件标准”（MHS），被路透社、CNBC等解读为首次公开进军具身智能与物理AI领域。该标准类似MCP，作为统一控制与通信标准，为AI装“身体”，使其能操控自动驾驶、机械臂等物理设备，感知世界、执行动作并持续学习。
英伟达拟以129亿美元收购开源AI平台Hugging Face，其年营收约1.5亿美元、接近盈利，出价约为年收入80倍。闭源实验室正降低对英伟达硬件依赖，OpenAI联手博通自研芯片。英伟达已承诺五年投260亿美元发展开源模型，意在抢占生态。
当地时间8月25日，OpenAI披露自研芯片Jalapeno内部测试表现超越英伟达现有主力产品线，核心指标实现关键超越，显示其加速摆脱对单一硬件供应商依赖，强化底层基础设施布局。全球算力格局正深度重塑，AI巨头纷纷减少对英伟达依赖。
小米发布首款大模型专用AI加速芯片玄戒O100，采用6nm工艺与3D晶圆级堆叠方案，提升带宽与集成度，标志其在核心算力芯片自研上迈出关键一步，显示终端厂商AI硬件竞争进入深水区。
Anthropic
$105
输入tokens/百万
$525
输出tokens/百万
200
上下文长度
Xai
$1.4
$10.5
256
Bytedance
$4
$16
128
Google
-
$140
$280
32
Openai
$0.7
$2.8
1k
$0.35
131
Stepfun
$1
$2
$38
$120
16
Shanghai-ai-lab
8
$420
Baidu
%20--%3e%3cdefs%3e%3cstyle%3e%20.st0%20{%20fill:%20%23061b40;%20}%20.st1%20{%20fill:%20%23306af1;%20}%20.st2%20{%20fill:%20%235ce5cf;%20}%20%3c/style%3e%3c/defs%3e%3cg%3e%3cpath%20class='st0'%20d='M55,10.5h9v3h-9v9h12V7.5h-12v3ZM64,19.5h-6v-3h6v3Z'/%3e%3cpolygon%20class='st0'%20points='69%2016.5%2078%2016.5%2078%2019.5%2069%2019.5%2069%2022.5%2081%2022.5%2081%2013.5%2072%2013.5%2072%2010.5%2081%2010.5%2081%207.5%2069%207.5%2069%2016.5'/%3e%3cpolygon%20class='st0'%20points='95%2010.5%2095%207.5%2083%207.5%2083%2022.5%2095%2022.5%2095%2019.5%2086%2019.5%2086%2016.5%2095%2016.5%2095%2013.5%2086%2013.5%2086%2010.5%2095%2010.5'/%3e%3cpath%20class='st0'%20d='M40,1.5v21h11.6l1.4-1.4v-7.6h0c0,0-1.4-1.5-1.4-1.5l1.4-1.4V2.9l-1.4-1.4h-11.6ZM50,19.5h-7v-6h7v6ZM50,10.5h-7v-6h7v6Z'/%3e%3c/g%3e%3cpath%20class='st1'%20d='M23.1,24L14.7,4.8l-4.9,11.2h3.8l-1.8,4H3.3L12.1,0H2C.9,0,0,.9,0,2v20c0,1.1.9,2,2,2h21.1Z'/%3e%3cpath%20class='st2'%20d='M34,0h-16.8l10.6,24h6.2c1.1,0,2-.9,2-2V2C36,.9,35.1,0,34,0ZM32.5,20h-4V4h4v16Z'/%3e%3c/svg%3e)
VIP会员
