Citi: Meta Muse agents could shift CPU-GPU ratios toward 1:1
In an Oct. 6 research note, Citi argues that always-on personal AI agents such as Meta Muse consume compute at orders of magnitude above chatbots, pushing the CPU-to-GPU ratio from 1:8 in training and 1:4 in inference toward 1:1 or higher for agentic workloads. The bank estimates 100 million Muse daily active users would require roughly 200,000–390,000 Blackwell-class GPUs, worth $7 billion–$19 billion in one-time revenue for Nvidia, and projects the global CPU total addressable market growing from $29 billion in 2025 to $300 billion by 2030. It also flags knock-on demand for DRAM, SSDs and data-centre network traffic.
If the estimate holds, the agent era's compute bottleneck shifts from GPUs alone to CPUs, memory and networking, potentially repricing hardware investment.
与闲置率较高的聊天机器人不同，Meta Muse等智能体的“始终在线”特性使其对算力的消耗呈数量级增长。花旗预计，这一趋势将使CPU-GPU配比从训练期的1:8向1:1演进，推动2030年CPU市场规模达3000亿美元。同时，仅1亿Muse日活用户就可能为英伟达带来最高190亿美元的GPU收入。
随着Meta Muse等个人AI智能体的发布，AI正从被动响应的聊天机器人向全天候自主运行的智能体演进，这或将推高对CPU、GPU、内存及网络基础设施的消耗。
据花旗10月6日最新发布的研究报告，以Meta Muse为代表的智能体应用，正将计算硬件的市场预期推向新高度。该行预计，到2030年，全球CPU总潜在市场规模（TAM）将从2025年的290亿美元扩张至3000亿美元，年复合增长率高达60%。
在GPU端，智能体同样带来了结构性的增量需求。该行测算，若Meta Muse达到1亿日活跃用户，将需要约20万至39万块Blackwell级别的GPU，这可能为英伟达带来70亿至190亿美元的一次性收入。
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