--- 格式版本: 2 标题: "NVLink-C2C | Chip Interconnect Technology | NVIDIA" 原文链接: "https://www.nvidia.com/en-us/data-center/nvlink-c2c/" 发布日期: "2026-03-06" 发布时间校准状态: "found" 发布时间需复核: "否" 发布时间来源: "llm:local:original_meta_loose" 发布时间证据: "nv-pub-date: 2026-03-06T05:20:20.000Z" 发布时间校准原因: "nv-pub-date 是明确的发布时间元数据，优先级高于创建日期和更新日期，且日期非会议/活动/产品事件。" 发布时间校准置信度: "1" 发布时间候选数量: 3 发布时间严格候选数量: 0 发布时间原页读取状态: "原页面已读取" 发布时间未找到原因: "" 发布时间校准时间: "2026-07-24T21:20:34+08:00" 发布时间仲裁状态: "confirmed" 发布时间仲裁尝试次数: 1 发布时间仲裁耗时毫秒: 5004 发现时间: "2026-06-13T08:30:53+08:00" 入库时间: "2026-07-24T13:20:39.933Z" 来源平台: "Exa" 搜索渠道: "exa_search" 搜索词: "Nvlink" 匹配关键词: - "Nvlink" 相关厂家: - "NVIDIA" 相关专家: [] 内容类型: "网页" 抓取工具: "XCrawl Scrape" 清洗工具: "XCrawl Markdown + LLM 正文裁剪（重试成功）" 原始附件: [] AI优质: "是" AI打分: 94 AI分档: "高置信优质" AI质检状态: "通过" AI打分理由: "NVIDIA官方页面，详细介绍NVLink-C2C互连技术，直接关联超节点核心互连，包含Vera Rubin、GB300等新一代产品，技术细节丰富，商业部署明确。" AI质检模型: "deepseek-v4-flash" AI质检时间: "2026-07-24T21:30:38+08:00" AI主题相关性: 20 AI来源权威性: 15 AI新颖性: 16 AI技术细节: 19 AI商业部署信号: 14 AI完整性: 10 采集批次: "2026年6月13日8点30分29秒" 采集批次ID: "20260613-083029-484" 去重键: "https://www.nvidia.com/en-us/data-center/nvlink-c2c" --- ![NVIDIA NVLink-C2C](https://www.nvidia.com/content/dam/en-zz/Solutions/gtcs22/c2c/nvlink-c2c-kv-bb460_420-d.jpg) # NVIDIA NVLink-C2C Extending NVLink to chip-level integration. [ Read Press Release ](https://nvidianews.nvidia.com/news/nvidia-opens-nvlink-for-custom-silicon-integration) ## Ultra-Fast Chip Interconnect Technology for Custom Silicon Integration NVIDIA NVLink™-C2C extends the industry-leading NVLink technology to a chip-to-chip interconnect. This enables the creation of a new class of integrated products with NVIDIA partners, built via chiplets, allowing NVIDIA GPUs or CPUs to have a high-bandwidth, coherent connection with custom silicon. ## Building Semi-Custom Chip Designs The design and layout of a chip-to-chip interconnect is vital to proper function, performance, power efficiency, reliability, and fabrication yield. NVIDIA NVLink-C2C is built on world-class SerDes and Link design technology. With advanced packaging, NVLink-C2C interconnect delivers up to 6x more energy efficiency and 3.5x more area efficiency than a PCIe Gen 6 PHY on NVIDIA chips. NVLink-C2C is extensible from PCB-level integration, multi-chip modules (MCM), and silicon interposer or wafer-level connections, enabling the industry’s highest bandwidth, while optimizing for both energy and area efficiency. Through [NVLink Fusion,](https://www.nvidia.com/en-us/data-center/nvlink-fusion/) the NVLink-C2C technology will be available for customers and partners who want to create semi-custom system designs. ## Products Using NVLink-C2C ### NVIDIA Vera Rubin NVL72 The NVIDIA Vera Rubin Superchip combines two NVIDIA Rubin GPUs and an NVIDIA Vera CPU connected over NVLink-C2C. It can scale up to the Vera Rubin NVL72, a massive 72-GPU system connected by NVIDIA NVLink. [Learn More ](https://www.nvidia.com/en-us/data-center/vera-rubin-nvl72/) ### NVIDIA GB300 NVL72 NVIDIA's GB300 NVL72 integrates 72 NVIDIA Blackwell Ultra GPUs and 36 NVIDIA Grace™ CPUs, offering a 50x increase in AI factory output with optimized inference capabilities. [Learn More ](https://www.nvidia.com/en-us/data-center/gb300-nvl72/) ### NVIDIA GB200 NVL72 The NVIDIA GB200 Superchip combines two NVIDIA Blackwell GPUs and an NVIDIA Grace CPU connected over NVLink-C2C. It can scale up to the GB200 NVL72, a massive 72-GPU system connected by NVIDIA NVLink. [Learn More ](https://www.nvidia.com/en-us/data-center/gb200-nvl72/) ### NVIDIA Grace CPU Superchip NVIDIA Grace CPU Superchip uses the NVLink-C2C technology to deliver 144 cores and 1 TB/s of memory bandwidth for cloud, enterprise, and high-performance computing. [Learn More ](https://www.nvidia.com/en-us/data-center/grace-cpu-superchip/) ### NVIDIA DGX Spark NVIDIA DGX Spark is a compact, personal AI supercomputer accelerated by the NVIDIA GB10 Grace Blackwell Superchip, delivering high-performance AI capabilities and support for models up to 200 billion parameters. [Learn More ](https://www.nvidia.com/en-us/products/workstations/dgx-spark/) ### NVIDIA NVLink Fusion NVIDIA NVLink™ Fusion delivers industry-leading AI scale-up and scale-out performance with NVIDIA technology plus semi-custom ASICs or CPUs, enabling hyperscalers to build an ASIC hybrid AI infrastructure with NVIDIA NVLink technology and rack-scale architecture. [Learn More ](https://www.nvidia.com/en-us/data-center/nvlink-fusion/) ### NVLink-C2C Benefits ### High Bandwidth Supports high-bandwidth, coherent data transfers between processors and accelerators. ### Low Latency Supports atomics between processors and accelerators to perform fast synchronization and high-frequency updates to shared data. ### Low-Power High Density Uses advanced packaging to deliver 6x more energy efficiency and 3.5x more area efficiency than PCIe Gen 6 PHY on NVIDIA chips. ### Industry Standards Supports Arm’s AMBA CHI (Coherent Hub Interface) or Compute Express Link (CXL) industry standard protocols for interoperability between devices. Learn more about NVIDIA NVLink. [ Learn More ](https://www.nvidia.com/en-us/data-center/nvlink/)