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# NVIDIA Vera CPU: Olympus Cores Built for Maximum Single-Thread Performance in Agentic AI

**[NVIDIA Developer](https://daily.dev/sources/nvidiadev)** · 12 min read · 0 upvotes · 0 comments

## Summary

NVIDIA's Vera CPU features the custom Olympus core, designed specifically for agentic AI workloads that demand strong single-thread performance under full socket load. Key architectural highlights include a neural branch predictor, 10-wide decode engine, deep out-of-order execution with memory renaming and value prediction, and a graph prefetcher for pointer-heavy workloads. NVIDIA Spatial Multithreading (SMT) partitions resources more effectively than traditional SMT to reduce thread interference. The chip pairs 88 Olympus cores with the Scalable Coherency Fabric (3.4 TB/s bandwidth), 164 MB unified L3 cache on a monolithic die, and SOCAMM2 LPDDR5X memory delivering up to 1.2 TB/s aggregate bandwidth. Scale-up connectivity includes NVLink-C2C for dual-socket coherent operation, PCIe 6.4, CXL 3.1, and Confidential Computing via Arm CCA/RME — all aimed at maximizing CPU-side throughput in AI factory deployments.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://developer.nvidia.com/blog/inside-nvidia-vera-cpu-olympus-cores-built-for-maximum-single-threaded-performance-in-agentic-ai>

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

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