Blackwell NVL72

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Building the Blackwell NVL72: Millions of Parts, One AI Superchip
NVIDIA· 2025-06-11 14:18
Blackwell B200 Super Chip Manufacturing - Blackwell B200 超级芯片由 12 英寸晶圆上的 2000 亿个晶体管构建而成 [1] - 每个晶圆被划分为单独的 Blackwell 芯片,经过测试和分类,将好的芯片分离出来 [2] - 32 个 Blackwell 芯片和 128 个 HBM 堆栈通过芯片基板工艺连接到定制的硅中介层晶圆上 [2] - 组装完成后,经过烘烤、模塑和固化,形成 Blackwell B200 超级芯片,并在 125° 的烤箱中进行压力测试 [3] - Grace Blackwell PCB 上通过机器人昼夜不停地放置超过 10,000 个组件 [3] Interconnect and Communication - MVLink 开创性高速链路,可连接多个 GPU 并扩展为大型虚拟 GPU [5] - MVLink 交换机托盘由 MVLink 交换机芯片构建,提供每秒 14.4 万亿字节的全互连带宽 [5] - MVLink 主干形成定制的盲插背板,通过 5,000 根铜缆连接所有 72 个 Blackwell 或 144 个 GPU 芯片,形成一个巨大的 GPU,提供每秒 130 万亿字节的全互连带宽 [5] - Connect X7 Super Nix 用于实现横向扩展通信,Bluefield 3 DPU 用于卸载和加速网络、存储和安全任务 [4] System Integration and Scale - 总计 120 万个组件、200 万米铜缆和 130 万亿个晶体管,总重量接近 2 吨 [5] - 定制的液冷铜块用于将芯片保持在最佳温度 [4] - 所有部件集成到 GB200 计算托盘中,最终组装成机架规模的 AI 超级计算机 [4][5] Vision - Blackwell 不仅仅是一项技术奇迹,更是全球协作和创新的力量的证明,推动着塑造我们未来各地的发现和解决方案 [6]
「AI新世代」黄仁勋直言美国芯片管制误判!英伟达左右两难:面临500亿美元中国市场流失风险
Hua Xia Shi Bao· 2025-05-29 15:26
Core Viewpoint - Nvidia faces significant challenges in the Chinese AI chip market due to U.S. export restrictions, which could lead to a gradual loss of market share to domestic competitors, despite strong overall performance driven by global AI demand [2][3][4]. Financial Performance - In Q1 of fiscal year 2026, Nvidia reported revenues of $44.062 billion, a 69% year-over-year increase, and a net profit of $18.775 billion, up 26% year-over-year [6][8]. - The company incurred $4.5 billion in costs due to inventory backlog and procurement commitments related to H20 products, with $4.6 billion in sales and an additional $2.5 billion in unfulfilled orders for H20 products [3][8]. Market Dynamics - The U.S. government's tightening of chip export regulations has directly impacted Nvidia, particularly its H20 product line, which now requires a license for export to China, leading to reduced demand [3][4]. - Nvidia's CEO emphasized the importance of the Chinese market, noting it as a critical platform for success in the global AI landscape, with a projected market size of $50 billion [3][4]. Product Strategy - Nvidia's export strategy has been reactive to U.S. policy changes, resulting in a gradual reduction in product performance from A100/H100 to the currently restricted H20, increasing the potential for domestic alternatives to capture market share [5][6]. - Domestic GPU products from companies like Huawei and others are becoming viable alternatives to Nvidia's H20, particularly in inference scenarios, where performance and cost-effectiveness are critical [5][6]. Future Outlook - Nvidia anticipates Q2 fiscal year 2026 revenues to reach $45 billion, reflecting an $8 billion reduction in revenue due to recent export restrictions on H20 products [8]. - Despite the challenges in the Chinese market, Nvidia's overall performance remains robust, with strong growth in data center revenues, which accounted for $39.112 billion, a 73% increase year-over-year [8].