NVIDIA Unveils Rosa CPU with Rigel Cores Optimized for Agentic AI Workloads
NVIDIA's Rosa CPU, utilizing the new Rigel core architecture based on Arm v9.2, promises to enhance per-core performance while maintaining the same silicon footprint. This advancement is critical for meeting the rising demands of Agentic AI applications, positioning NVIDIA competitively in the CPU market against x86 alternatives.
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NVIDIA has introduced its next-generation Rosa CPU, which will feature the Rigel core architecture based on Arm v9.2, designed for enhanced processing capabilities in Agentic AI workloads. Rosa is set to launch alongside the Feynman platform, with improvements including a larger L2 cache and better instruction handling, all while maintaining the same silicon footprint as its predecessor, Vera.
The current Vera CPU, equipped with 88 Olympus cores, demonstrates a performance advantage of 1.8x over x86 CPUs in AI tasks. Rosa's release is anticipated by 2029 in data centers, followed by PC variants in the Rosa Feynman Spark solutions by 2030. This strategic development highlights NVIDIA's continued emphasis on optimizing CPU-GPU collaboration in AI environments, potentially disrupting the existing data center CPU market.
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