2 Sources
[1]
NVIDIA Confirms Some Rosa CPU Details With Its Rigel Core
In a blog post today talking up the single threaded CPU performance of their Vera CPU with Olympus cores, NVIDIA confirmed a few basic details of their next-gen Rosa CPU featuring their "Rigel" core. While NVIDIA Vera only recently began shipping and in late May we delivered some of the first benchmarks of the NVIDIA Vera CPU, NVIDIA has already begun sharing some brief details around their next-generation Rosa CPU with Rigel core. NVIDIA shared in a blog post predominantly talking up Vera's single threaded performance benefits: "NVIDIA's next-generation Rosa CPU with the Rigel core will continue the company's CPU roadmap for the agentic AI era. Rigel is NVIDIA's next-generation Arm v9.2 CPU core, delivering higher per-core performance than Olympus while keeping the same silicon footprint. Key improvements include better instruction delivery, a larger L2 cache and more efficient memory handling." NVIDIA Rosa will build off Vera's successes as an agentic AI processor while featuring higher per-core performance, larger L2 cache, and more efficient memory handling while sticking to Vera's silicon footprint. That's all for now on the Rosa/Rigel details shared by NVIDIA. In due time it will be interesting to see how the NVIDIA Rosa CPU can compete with the other server CPU competition in the form of AMD EPYC Venice and Intel Xeon Diamond Rapids.
[2]
NVIDIA's Next-Gen Rosa CPU To Feature Rigel "Arm v9.2" Cores With Larger L2 Cache & Higher Per-Core Performance In The Same Silicon Footprint
NVIDIA has disclosed the first real information about its next-generation Rosa CPU, which will be coupled with its Feynman lineup. NVIDIA Rosa CPU Extends Vera's Per-Core Leadership With A New Core Architecture, Larger Cache, & Better Instruction Delivery At GTC 2026, NVIDIA disclosed its next-gen Data Center CPU, called Rosa. The Rosa CPU will be launching alongside Feynman and will be precisely optimized for Agentic AI workloads as those continue to demand increased processing performance. Rosa is named after American physicist & a Nobel Prize winner, Rosalyn Sussman. Today, NVIDIA confirms more details of its next-generation Rosa CPU, and these are some big ones. Starting with the most important detail, NVIDIA has said that its Rosa CPUs will utilize a brand new core architecture called "Rigel," which is based on the Arm v9.2 CPU core. Like Vera, Rosa will be a really fast chip for AI processing, achieving even more "max single-threaded" CPU performance at scale than its predecessor. While Vera utilizes the Olympus cores, which are custom Armv9.2-A cores that offer 2x the throughput versus Grace, Rosa will take the single-core performance advantage even further. What's more impressive is that the performance uplift will be achieved in the same silicon footprint. NVIDIA's next-generation Rosa CPU with the Rigel core will continue the company's CPU roadmap for the agentic AI era. Rigel is NVIDIA's next-generation Arm v9.2 CPU core, delivering higher per-core performance than Olympus while keeping the same silicon footprint. Key improvements include better instruction delivery, a larger L2 cache, and more efficient memory handling. via NVIDIA Coming to additional details, NVIDIA highlights improvements in the form of better instruction delivery, a larger L2 cache, and more efficient memory handling. Currently, Vera is equipped with 88 Olympus cores, up from 72 cores on Grace. It isn't mentioned if Rosa comes with a core count increase. Key Specifications Comparison Looking at Rosa and NVIDIA's handling of its CPU architectures with Grace and now Vera, the company has come a long way, tackling x86 competitors directly in the AI space. Vera is already in full production and is now shipping Vera Rubin and Standalone racks to major AI firms across the globe. The NVIDIA CPU strategy stretches beyond Enterprise and Data Centers, as the same cores will be housed by next-generation RTX Spark chips. The first of the RTX Spark chips are expected this fall, bringing Grace and Blackwell together with 2028's lineup focusing on Vera Rubin combos, and finally, Rosa should enter the market by 2029 in data centers, followed by PC-specific variants in the Rosa Feynman Spark solutions by 2030. NVIDIA Data Center / AI GPU Roadmap Follow Wccftech on Google to get more of our news coverage in your feeds.
Share
Copy Link
NVIDIA has confirmed key details about its next-generation Rosa CPU featuring the new Rigel core. Built on an Arm v9.2-based design, Rosa delivers higher per-core performance than its Vera predecessor while maintaining the same silicon footprint. The chip includes a larger L2 cache, better instruction delivery, and more efficient memory handling, positioning NVIDIA to compete directly with AMD EPYC Venice and Intel Xeon Diamond Rapids in server CPU markets.
NVIDIA has disclosed the first substantial details about its next-generation Rosa CPU, which will feature a brand new core architecture called the Rigel core
1
2
. The announcement comes shortly after the company's Vera CPU with Olympus cores began shipping in late May, signaling NVIDIA's aggressive push into the data center processor space. Rosa will launch alongside the company's Feynman lineup and is specifically optimized for Agentic AI workloads, which continue to demand increased processing capabilities as AI agents become more sophisticated and autonomous.
Source: Wccftech
The Rigel core represents NVIDIA's next step in Arm v9.2-based design, delivering higher per-core performance than the Olympus cores found in Vera while maintaining the same silicon footprint
1
. This achievement is particularly noteworthy as it demonstrates NVIDIA's ability to extract more performance without increasing chip size or power consumption. The NVIDIA Rosa CPU will achieve even more max single-threaded CPU performance at scale than its predecessor, building on Vera's already impressive capabilities. While the current NVIDIA Vera CPU features 88 Olympus cores—up from 72 cores on Grace—NVIDIA has not yet disclosed whether Rosa will include a core count increase2
.NVIDIA highlighted three major improvements in the Rosa architecture: better instruction delivery, a larger L2 cache, and more efficient memory handling
1
2
. These enhancements address critical bottlenecks in AI processing workloads where memory bandwidth and latency can significantly impact overall system performance. The larger L2 cache will enable the processor to keep more frequently accessed data closer to the cores, reducing the need to fetch information from slower main memory. Combined with improved instruction delivery mechanisms, these changes should translate into measurable performance gains for the complex, multi-step reasoning tasks that characterize agentic AI applications.Related Stories
The Rosa announcement positions NVIDIA to compete more directly with established server CPU markets leaders, particularly AMD EPYC Venice and Intel Xeon Diamond Rapids
1
. NVIDIA's strategy of pairing its CPUs with Blackwell GPUs and future GPU architectures creates tightly integrated systems optimized for AI workloads. The company has made significant progress since Grace, with Vera already in full production and shipping in Vera Rubin configurations to major AI firms globally2
. Rosa is expected to enter data centers by 2029, followed by PC-specific variants in Rosa Feynman Spark solutions by 2030, extending NVIDIA's CPU strategy beyond enterprise into consumer markets. The same core architectures will power next-generation RTX Spark chips, with the first Grace-based versions expected this fall and Vera Rubin combinations arriving in 20282
.Summarized by
Navi
17 Mar 2026•Technology

Today•Technology

26 May 2026•Technology
1
Policy and Regulation

2
Policy and Regulation

3
Policy and Regulation
