Purpose-built to solve the world’s largest computing problems.
As models explode in complexity, accelerated computing, and energy efficiency are becoming critical to meet the demands of AI. The NVIDIA Grace? CPU is a groundbreaking Arm? CPU with uncompromising performance and efficiency. It can be tightly coupled with a GPU to supercharge accelerated computing or deployed as a powerful, efficient standalone CPU. The NVIDIA Grace CPU is the foundation of next-generation data centers and can be used in diverse configurations for different data center needs.
NVIDIA NVLink? Chip to Chip (C2C) offers 900 gigabytes per second (GB/s) of bidirectional bandwidth, 7x faster than PCIe Gen 5, enabling focus on development instead of memory management.
NVIDIA Grace uses 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.
NVIDIA Grace uses high-performance Arm Neoverse? V2 cores coupled with NVIDIA Scalable Coherency Fabric (SCF) to maximize performance and energy efficiency for data center workloads.
The NVIDIA Grace portfolio includes tightly coupled CPU and GPU systems, such as Grace Blackwell and Grace Hopper? for accelerated computing, as well as CPU-only solutions with the Grace CPU.
Breakthrough CPU performance and efficiency for the modern data center.
Powering the new era of computing with Grace CPU and NVIDIA Blackwell GPU.
Connecting the NVIDIA Grace CPU and Hopper for large-scale AI and HPC applications.
DGX Spark brings the power of NVIDIA Grace Blackwell? to developer desktops. The GB10 Superchip, combined with 128 GB of unified system memory, lets AI researchers, data scientists, and students work with AI models locally with up to 200 billion parameters.
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