据爆料，OpenAI 计划下周发布代号 mewfour 的全新模型 Astra，系 GPT-4.5 后最大规模预训练模型，标志重大能力跃升。其内部版本已成功解出 10 个重要开放数学问题，所需算力成本约 2000 美元（约 1.35 万元人民币），展现出强大的复杂推理实力。
美国媒体曝光亚马逊一AI成本失控事故：工程师用Anthropic的Claude Sonnet模型处理作者与商品数据匹配等常规任务，却累积180万美元账单，超预算860%。项目拖延长达5个月最终未成功落地，高额算力消耗酿成巨额浪费。
据台媒钜亨网援引分析报告，谷歌计划2028年部署1200万至1500万颗自研TPU v9 AI加速芯片，同期英伟达AI GPU出货约1240万颗，谷歌有望在出货量上超越。TPU是谷歌定制ASIC芯片，从不外售，此举旨在降低对英伟达算力的依赖和成本。
海光DCU完成万亿参数大模型Kimi K3全栈适配与验证，标志着国产算力首次稳稳支撑此类超大模型。通过底层算子到推理引擎的深度优化，模型无需任何代码改动，迁移成本近乎零，开发者拿到算力即可部署。同时针对KDA注意力与896专家MoE架构实现从容兼容，打破海外旗舰芯片垄断，提供开箱即用的国产方案。
Google
$2.1
Input tokens/M
$17.5
Output tokens/M
1k
Context Length
Anthropic
$21
$105
200
$0.7
$2.8
Alibaba
$2
-
256
Iflytek
$1
32
Chatglm
Baichuan
4
%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)
Join Now
