NVIDIA has introduced Vera, a processor designed as the first max single-threaded CPU at scale to address the computational demands of agentic artificial intelligence. As AI models transition from static inference to autonomous agent loops requiring continuous tool calling, code execution, and data processing, traditional data center architectures have revealed significant bottlenecks. While current server chips prioritize core density and cost-per-core efficiency, often at the expense of individual core speed and memory latency via chiplet designs, agentic workloads require sustained high-frequency performance per core to keep GPU utilization optimal. Vera addresses these requirements through a monolithic compute die architecture that eliminates the latency penalties associated with chiplet interconnects. The processor features 88 custom Olympus cores, delivering 50 percent higher instructions per cycle than NVIDIA's previous Grace architecture. By integrating up to 1.2TB/s of LPDDR5X memory bandwidth with less than 40 watts of memory power, and providing 3.4TB/s of core-to-core bandwidth, Vera ensures all cores maintain full memory performance without resource contention. This design yields 1.8 times the sustained per-core performance of leading x86 processors under loaded agentic workloads, significantly reducing the latency in sequential agent steps that dictate overall system throughput. Early validation highlights substantial gains across real-world scenarios. Perplexity reported Vera completes coding workflows 1.5 times faster and initiates concurrent sandboxes up to 1.9 times faster than x86 alternatives. Database and streaming partners note three times faster large-scale SQL analytics with Starburst and six times lower latency on real-time streaming via Redpanda. These improvements allow AI factories to maximize revenue by minimizing GPU idle time, as the CPU no longer constrains the speed of agent reasoning and verification cycles. Vera serves as a unified component within NVIDIA's broader agentic infrastructure, hosting GPUs in the upcoming Vera Rubin platform and powering the BlueField-4 STX storage processor. This shared architecture simplifies deployment and tooling for data centers. Looking ahead, NVIDIA outlined its roadmap to include the Rosa CPU, which will utilize the next-generation Rigel core based on Arm v9.2. Rigel promises further instruction delivery enhancements, a larger L2 cache, and improved memory handling while maintaining the same silicon footprint, signaling a continued industry shift toward processors optimized for the nanosecond-scale speed requirements of billion-agent systems.