#### Cloud and Data Center Solutions # NVIDIA CPU Platforms Built for the AI factory. [Stay Informed](https://www.nvidia.com/en-us/preferences/email-signup.md) ### Introduction ## The Engine of the Next-Generation Data Center NVIDIA CPU platforms provide the foundation for modern AI infrastructure and AI factories. As the host for accelerated computing, orchestrate the data movement, analytics, storage, and system execution that keep infrastructure running efficiently. NVIDIA Grace™ delivers performance and energy efficiency for hyperscale cloud, edge, and telco environments, while NVIDIA Vera is designed for agentic AI systems, accelerating the data and execution pipelines that support large-scale AI factories. ## NVIDIA Vera CPU The NVIDIA Vera CPU is purpose-built for next-generation agentic AI systems, pairing seamlessly with NVIDIA GPUs for AI factories or operating independently across post-training and agentic pipelines, analytics, cloud, orchestration, and storage workloads. [Learn More](https://www.nvidia.com/en-us/data-center/vera-cpu.md) ### Benefits ## Technological Breakthroughs ### Accelerate CPU-to-GPU Connections With NVLink-C2C The second-generation NVIDIA NVLink™ Chip-to-Chip (C2C) interconnect offers 1.8 terabytes per second (TB/s) of bidirectional bandwidth, 7x faster than PCIe Gen 6, enabling focus on development instead of memory management. ### Tap Into Energy-Efficient CPU Memory With LPDDR5X NVIDIA CPUs use LPDDR5X memory with error-correction code (ECC) for server-class reliability, while offering 5x better energy efficiency—ideal for cloud, enterprise, and high-performance computing (HPC) workloads. ### Boost Performance and Efficiency With Advanced CPU Architecture NVIDIA Vera features custom Olympus Arm®-compatible CPU cores and the NVIDIA Scalable Coherency Fabric (SCF) to deliver high single-thread performance and predictable scaling. NVIDIA Grace uses high-performance Arm-based CPU cores with SCF to provide efficient performance across cloud, edge, and data center workloads. ### Diverse Configurations for Accelerated and CPU Workloads NVIDIA CPU platforms support a wide range of system designs, from tightly integrated CPU–GPU architectures like NVIDIA Vera Rubin and Grace Blackwell for accelerated computing to standalone single- and dual-socket CPU servers for cloud, enterprise, HPC, and edge deployments. ### Products ## Explore the CPU Lineup ## NVIDIA Grace CPU Breakthrough CPU performance and efficiency for the modern data center. ### NVIDIA Grace CPU Superchip The Grace CPU Superchip is composed of two Grace CPUs connected coherently over NVIDIA NVLink-C2C at 900 GB/s. It packs 144 Arm Neoverse V2 cores into a single module, with server-class LPDDR5X memory that delivers up to 1 terabyte per second (TB/s) of memory bandwidth. [Learn More About the Grace CPU Superchip](https://www.nvidia.com/en-us/data-center/grace-cpu-superchip.md) ### NVIDIA Grace CPU C1 The NVIDIA Grace CPU C1 is a single-socket, high-performance server platform that doesn't compromise performance or bandwidth. It’s optimized for scalable and edge platforms, including hyperscale cloud, content delivery network (CDN), storage, telco, and other high-performance edge platforms. [Read the Grace CPU Superchip’s Datasheet](https://resources.nvidia.com/en-us-grace-cpu/data-center-datasheet) --- ## NVIDIA CPU and GPU Connecting the NVIDIA CPU and GPU for large-scale AI and HPC applications. ### NVIDIA GH200 Grace Hopper Superchip The NVIDIA Grace Hopper™ Superchip combines Grace CPU and Hopper GPU architectures using NVLink-C2C to enable a unified memory space for accelerated AI and HPC workloads. [Learn More About the Grace Hopper Superchip](https://www.nvidia.com/en-us/data-center/grace-hopper-superchip.md) ### NVIDIA GB200 NVL4 NVIDIA GB200 NVL4 unlocks the future of converged HPC and AI, delivering revolutionary performance through four NVIDIA Blackwell GPUs connected with an NVLink bridge and two NVIDIA Grace CPUs connected over [NVLink-C2C](https://www.nvidia.com/en-us/data-center/nvlink-c2c.md). Compatible with liquid-cooled, NVIDIA MGX™ modular servers, it boosts performance for scientific computing, AI for science training, and inference applications by 2x over the prior generation. [Read the GB200 NVL4’s Datasheet](https://nvdam.widen.net/s/wwnsxrhm2w/blackwell-datasheet-3384703) #### Resources ## Discover More About NVIDIA Grace 1. What’s New 2. Sessions 3. Videos [View More News](https://developer.nvidia.com/blog/search-posts/?q=grace) [View More Sessions](https://www.nvidia.com/en-us/on-demand/playlist/playList-d2c396dd-2b38-41eb-a988-d1116f016c1a/) ### AI Factory for the New Industrial Revolution Discover how the AI factory generates tokens to help build a future filled with endless possibilities—accelerated by human ingenuity and NVIDIA. [Watch Video](https://www.youtube.com/watch?v=0JxowHz0JsM) ### NVIDIA Grace CPU Superchip The breakthrough CPU for the modern data center that delivers twice the performance at the same power as leading traditional CPUs. [Watch Video](https://www.youtube.com/watch?v=9x3Zv_Z20hY) ### GTC24 Keynote With NVIDIA CEO Jensen Huang Watch NVIDIA CEO Jensen Huang’s GTC keynote to catch all the announcements on AI advances that are shaping our future. [Watch Keynote](https://www.youtube.com/live/Y2F8yisiS6E?feature=shared) ## Explore More Resources Next Steps ## Stay Up to Date on NVIDIA News Sign up for the latest news, updates, and more from NVIDIA. [Stay Informed](https://www.nvidia.com/en-us/preferences/email-signup.md) [ ](https://images.nvidia.com/aem-dam/Solutions/grace-cpu/hpc-video-grace-cpu-superchip-energy-efficiency-2833300.mp4)