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# AI Innovators Adopt NVIDIA Vera — Why Max Single-Threaded CPU at Scale Matters

**[NVIDIA](https://daily.dev/sources/nvidia)** · 7 min read · 0 upvotes · 0 comments

## Summary

NVIDIA introduces a new CPU category called 'max single-threaded CPUs at scale,' exemplified by the NVIDIA Vera CPU, designed specifically for agentic AI workloads. Unlike traditional data center CPUs that prioritize core count and cost efficiency, Vera focuses on per-core performance, delivering 50% higher IPC than NVIDIA Grace via its custom Olympus core, 1.2TB/s LPDDR5X memory bandwidth, and 3.4TB/s core-to-core bandwidth on a monolithic die. In real-world agentic workloads, Vera achieves 1.8x sustained per-core performance over x86, with Perplexity reporting 1.5x faster coding workflow completion and up to 1.9x faster concurrent sandbox startup. Partners also measured 3x faster SQL analytics with Starburst and 6x lower latency with Redpanda. NVIDIA also announced the next-generation Rosa CPU featuring the Rigel core (Arm v9.2), promising higher per-core performance than Olympus in the same silicon footprint.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://blogs.nvidia.com/blog/nvidia-vera-max-single-threaded-cpu-at-scale>

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Tags: [#hardware](https://daily.dev/tags/hardware), [#nvidia](https://daily.dev/tags/nvidia), [#agentic-ai](https://daily.dev/tags/agentic-ai), [#ai-infrastructure](https://daily.dev/tags/ai-infrastructure)

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