According to Wall Street Journal reports, on July 23, Nvidia unveiled detailed technical specifications for its Vera CPU architecture, featuring 88 custom Olympus ARM cores, 1.2TB/s memory bandwidth, and 3.4TB/s on-chip interconnect bandwidth. Nvidia positions Vera around single-thread latency and GPU utilization efficiency, arguing that AI agents rely on repeated CPU-GPU interactions where each step depends on the previous one completing.
AMD counters that production-scale AI systems require high concurrent throughput rather than raw single-thread performance. According to Bank of America analyst Vivek Arya's latest report, in a simulated 100-kilowatt rack deployment, AMD's EPYC 9965 (Turin) delivers approximately 2.4x higher rack-level throughput compared to Vera; next-generation EPYC 6 (Venice) is projected to achieve 3.3x. The dispute reflects competing visions for the server CPU market, projected to reach $170 billion by 2030. AMD will formally present its framework at its AI 2026 technology event on Thursday.