--- 格式版本: 2 标题: "NVIDIA Vera CPU Is ‘Packing a Heavy-Hitting Punch’ Against Competition | NVIDIA Blog" 原文链接: "https://blogs.nvidia.com/blog/vera-cpu-phoronix/" 发布日期: "2026-06-30" 发布时间校准状态: "found" 发布时间来源: "llm:strict_original_body" 发布时间证据: "time class=related-news-date nvidia-article-date datetime=2026-06-30T08:00:57-07:00: Jun 30, 2026" 发布时间校准原因: "该日期来自HTML metadata中的article-date字段，位于标题附近，符合文章发布时间的特征。" 发布时间校准置信度: "1" 发布时间候选数量: 36 发布时间严格候选数量: 12 发布时间原页读取状态: "原页面来自已抓取 HTML" 发布时间未找到原因: "候选日期无效或 LLM 未确认" 发布时间校准时间: "2026-07-20T12:13:29+08:00" 发现时间: "2026-07-20T09:26:08+08:00" 入库时间: "2026-07-20T04:17:33.273Z" 来源平台: "NVIDIA Blog 搜索" 搜索渠道: "source_template" 搜索词: "https://blogs.nvidia.com/?s=AMD" 匹配关键词: [] 相关厂家: - "AMD" - "NVIDIA" 相关专家: [] 内容类型: "网页" 抓取工具: "AgentKey Scrape" 清洗工具: "AgentKey Markdown + LLM 正文裁剪" 原始附件: [] AI优质: "否" AI打分: 68 AI分档: "召回候选" AI质检状态: "不通过" AI打分理由: "文章聚焦NVIDIA Vera CPU单芯片性能与内存带宽，未涉及超节点/AI Rack/机柜级系统架构、互连、供电或液冷等核心维度。来源为NVIDIA官方，内容较新且含部分规格与交付信号，但缺乏机柜级技术细节与部署展开，整体为芯片级评测…" AI质检模型: "qwen3.6-plus" AI质检时间: "2026-07-20T12:17:33+08:00" AI主题相关性: 10 AI来源权威性: 14 AI新颖性: 16 AI技术细节: 12 AI商业部署信号: 6 AI完整性: 10 图片摘要: - "✗ ./assets/img-83d2f103.jpg | other | 通用数据中心渲染图，无具体参数或架构信息，属装饰性配图" - "★ ./assets/img-1f6575f1.png | diagram | 展示Agentic AI工作流中GPU与Vera CPU的协同架构，Agents在两者间流转处理任务。" - "✗ ./assets/img-3511966c.jpg | photo | NVIDIA品牌标识实拍，属品牌宣传图" - "✗ ./assets/img-e47e99dc.png | other | 主题为推理软件栈与Token成本，与正文Vera CPU硬件性能测试无关" 采集批次: "2026年7月20日9点23分34秒" 采集批次ID: "20260720-092334-062" 去重键: "https://blogs.nvidia.com/blog/vera-cpu-phoronix" --- The shift to agentic AI creates a new CPU requirement for the AI factory: fast cores, massive memory bandwidth and the ability to sustain high performance when all cores are active. Initial benchmark results published by [Phoronix](https://www.phoronix.com/review/nvidia-vera-benchmarks) today show that the NVIDIA Vera CPU meets this need. For this first public look, the benchmark scope was centered on the agentic workloads Vera was designed for in the modern data center. The Vera CPU delivers the throughput AI factories need while optimizing platform power. Eighty-eight NVIDIA custom Olympus cores, 1.2TB/s of memory bandwidth and a high-speed, on-chip fabric results in a CPU platform that combines core performance and memory bandwidth in an efficient power envelope. ## NVIDIA Olympus Delivers Aggressive Performance At the heart of Vera are custom NVIDIA Olympus CPU cores. Fully compatible with the Armv9.2 instruction set architecture, Olympus is designed for the sequential CPU work underpinning agentic AI: branch-heavy runtimes, sandboxed code, data processing and orchestration. Vera’s monolithic die, wide cores, advanced branch prediction and the second-generation NVIDIA Scalable Coherency Fabric help Vera keep data moving across all 88 cores. Phoronix’s testing of a single-socket Vera CPU — rated at 450-watt thermal design power with less than 30 watts of memory power — showed that it delivers outstanding performance within that power profile, along with generational gains across a broad array of workloads spanning code compilation, file compression, video transcoding, Python, Java and database management. These are the same kinds of CPU-heavy tasks that agents and AI factories run every day: compiling code, executing runtimes, compressing data, querying databases and coordinating large software stacks. “Going into this, I didn’t really know what to expect of NVIDIA’s Vera with the new Olympus cores,” wrote Michael Larabel, founder and principal author of Phoronix. “But in the end I was left realizing this is the most formidable competition to Intel and AMD x86\_64 processors ever realized.” ## ‘Incredible Advantage’ in Memory Performance Agentic workloads are not limited by core count alone. They need high core utilization and sustained memory bandwidth, making memory performance per watt a critical part of overall CPU efficiency. Vera incorporates a second-generation LPDDR5X memory subsystem, enabling dramatically lower energy per bit compared to DDR5. This allows Vera to offer up to a massive 1.2 TB/s of bandwidth — up to 2x the peak memory bandwidth compared with traditional CPUs in less than 30 watts of memory power, as opposed to more than 100 watts for traditional DDR5. In Phoronix STREAM TRIAD testing, Vera sustained 90% of its peak memory bandwidth — achieving the highest percentage of rated peak bandwidth of any CPU tested by Phoronix — and delivered over 4x the memory bandwidth per core compared with traditional x86 CPUs. “NVIDIA Vera with its LPDDR5X memory was showing its incredible advantage in memory performance over current Intel Xeon and AMD EPYC processors,” Larabel wrote. However, peak bandwidth is only part of the story. AI factory workloads run many sandboxes, tool calls and data services at the same time. In separate testing with Vera, [Prime Intellect found](https://www.primeintellect.ai/blog/nvidia-collaboration) that Vera maintained high bandwidth and low, consistent memory latency as more workloads ran in parallel — the kind of predictable performance needed for agentic AI. ## A Large Generational Leap — and Leadership in Phoronix Testing Compared with the prior-generation NVIDIA Grace CPU, Vera delivered a 1.6x geometric mean increase in Phoronix’s testing — an incredible generation-over-generation gain. “The difference from Grace to Vera was consistently exceeding my expectations for gen-on-gen performance we typically see for processors,” Larabel wrote. “NVIDIA’s Vera CPU with its in-house-designed Olympus CPU cores ends up packing a heavy-hitting punch with competitiveness to Intel/AMD x86\_64 CPUs that I have never seen out of any other ARM or non-x86\_64 processors.” Vera led the tested CPU field, delivering a 1.5x overall performance advantage compared with a latest-generation 128-core x86 processor. The gains showed up in practical developer workloads. Single-socket Vera compiled a default Linux kernel in just 20 seconds, the fastest result Phoronix measured in that test. Vera delivered 2x faster Linux kernel compilation on a per-core basis compared with a 128-core processor. “On a \[geometric\] mean basis, the NVIDIA Vera delivered 10% better performance than the AMD EPYC 9575F 5.0 GHz high frequency processor,” Larabel wrote. ## Vera in Customer Testing, Coming Soon From Partners At NVIDIA GTC, NVIDIA announced widespread ecosystem support for Vera, spanning AI natives, supercomputing centers, cloud service providers and infrastructure providers. NVIDIA has also [delivered](https://blogs.nvidia.com/blog/vera-cpu-delivery/) the first Vera CPUs to leading AI companies and cloud providers, marking an important milestone as Vera moves toward partner availability in the second half of the year. Vera will be available from partners in dual- and single-socket systems, with air-cooled and liquid-cooled options to support AI factory deployments, from standard enterprise data centers to high-density agentic AI infrastructure. Learn more about [NVIDIA Vera](https://www.nvidia.com/en-us/data-center/vera-cpu/). ![AI Innovators Adopt NVIDIA Vera — Why Max Single-Threaded CPU at Scale Matters](./assets/img-1f6575f1.png)