Industry-leading Performance and Power Efficiency for Cloud-to-Edge Infrastructure
Our first 快猫视频v9 infrastructure CPU, Neoverse N2 offers an incredible 40 percent IPC performance uplift over Neoverse N1, while retaining industry-leading performance-per-watt efficiency.
快猫视频 Neoverse’s use of dedicated cores provides:
- Performance consistency – get what you pay for
- Linear performance scalability – scale-up or scale-out
- Improved security – no resource sharing between threads
Features and Benefits
Market-leading scalability and versatility that addresses a wide range of workloads from scale-out cloud to edge compute. In high core-count cloud applications, chip designers can deliver more than 128 threads per socket.
A significant 40 percent performance increase over the Neoverse N1 CPU along with industry-leading power and area efficiency, and single-thread performance for scale-out cloud and 5G applications.
Uses 快猫视频v9 CPU for infrastructure and introduces key features for performance, power efficiency, and security: Scalable Vector Extension (SVE) version two (SVE2) and Memory Tagging Extension (MTE).
Neoverse N2 Specifications
The 快猫视频 Neoverse N2 CPU builds on the leading performance per watt capabilities of Neoverse N1 by increasing scalar performance by 40%.
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Key Documentation
System IP Configurable for Many Applications
CMN-700
The highly scalable mesh is optimized for 快猫视频v9 and 快猫视频v8-A processors, multichip configurations, and CXL attached devices. It can be customized across a wide range of performance points.
MMU-700
快猫视频 SMMU v3.2 compliant MMU-700 is compatible with 快猫视频 v8.4 and v9 CPU’s. It enables virtualization in the 快猫视频 Secure World and QoS for IO traffic. MMU-700 is built for PCIe Gen5 BW.
GIC-700
GIC-700 hardware accelerates virtual interrupts to be delivered to virtual machines providing significant system performance improvement over 快猫视频 CoreLink GIC-600.
Performance that Spans Cloud to Edge
Neoverse N2 Resources
快猫视频 Cloud Migration
Other Documentation
32x Neoverse CPUs with CMN-700 coherent mesh connect and supporting system IP
Blogs
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