OpenAI承诺数据中心全额承担能源成本，并严格限制用水，以缓解社区对公用事业费用上涨的担忧。此举回应了AI大模型对算力需求激增引发的能耗与环境影响讨论。
随着AI成为企业必备工具，构建专属算力基础设施成为趋势。越来越多企业选择自建本地AI工作站，而非依赖云端API，主要出于数据安全、成本控制和业务稳定性的考量。自建硬件投入通常可在1.5至2.5年内收回成本，经济性优势明显。企业需根据任务复杂度匹配不同规模的算力方案。
微软CEO纳德拉在达沃斯论坛提出，AI的“token”正成为新型全球商品，其能源成本将直接影响各国GDP增长。这意味着AI竞争已上升到国家能源战略与基础设施层面，算力成为由电力驱动的实体资源，决定地区经济潜力。
在2026年CES展上，英伟达发布下一代AI平台“鲁宾”，核心为全新超级芯片Vera Rubin。该平台旨在为智能体AI和大规模推理模型提供更强算力，芯片采用创新集成设计，提升高性能计算效率。
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)
