英伟达公布 Vera CPU 智能体基准
英伟达称，在 100 兆瓦数据中心对比中，Vera CPU 每瓦可运行的智能体数量是最快 96 核 x86 处理器的 1.6 倍，智能体速度则是高密度 256 核 AMD EPYC Venice 配置的 2 倍。早期合作方还报告了智能体编码、编排和沙箱工作负载的提升，其中 Perplexity 称速度比传统 CPU 快 1.5 倍，DeepInfra 称最高达到最佳 x86 处理器的 2.2 倍。这些数据来自英伟达测试及合作方的生产环境风格测试，尚缺乏独立验证。
Vera 的测试结果聚焦 AI 智能体反复在 GPU 推理与 CPU 工具执行之间切换时产生的处理器吞吐、并发和能耗需求。
AI agents do more than generate answers. They search for information, query databases, write and test code and take action.
Each of those steps relies on a CPU, with agents moving between GPU reasoning and CPU execution throughout a task.
As businesses put more agents to work, AI factories need CPUs that can execute those steps quickly and support many agents at once, all within the limits of available power.
What this means: AI infrastructure providers need to support more agents without making each one wait longer to get work done. And critically, AI factories are power limited. This means operators need to choose infrastructure that maximizes the work done for every watt.
Why it matters: NVIDIA Vera delivers both fast agent performance and high capacity per watt within a single CPU. That gives providers one CPU for a range of agent workloads, rather than having to mix and match fast and dense x86 parts to balance speed and capacity.
The data that proves it: In a 100-megawatt data center comparison, NVIDIA found that a single Vera CPU performs better than the fastest x86 CPU and the most energy-efficient x86 CPU.
#NVIDIA#Vera CPU#AMD#EPYC Venice#Intel#Xeon 6#Perplexity#DeepInfra#ClickHouse#DuckLabs#Daytona#Modal