NVIDIA Blackwell: Scaling Exascale AI and Trillion Parameter Models

22 min

Explore how NVIDIA Blackwell scales exascale AI and trillion parameter models. Learn about AI factories, overcoming the bandwidth wall, and the future of AI reasoning.

NVIDIA Blackwell: Scaling Exascale AI and Trillion Parameter Models

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This lesson is part of the learning plan: 'NVIDIA Full-Stack Technology Guide'. Lesson topic: NVIDIA Blackwell: Scaling Exascale AI Overview: Training multi-trillion parameter models requires massive bandwidth. Learn how NVLink and secure computing enable high-performance AI scaling. Key insights to cover in order: 1. Fifth-generation NVLink scales up to 576 GPUs to provide the bandwidth necessary for multi-trillion parameter models. 2. The NVLink Switch Chip delivers 130TB/s of bandwidth in a single 72-GPU domain for massive efficiency gains. 3. Confidential Computing provides hardware-based security that protects sensitive AI models without sacrificing throughput performance during training. Listener profile: - Learning goal: 了解英伟达技术产品介绍 - Background knowledge: 我接触过英伟达的GeForce显卡、RTX系列、CUDA编程、Tegra芯片和自动驾驶平台。 - Guidance: 重点介绍英伟达各产品线的技术特点和应用场景,包括游戏显卡、专业计算、移动处理器和自动驾驶解决方案。 Tailor examples, pacing, and depth to this listener. Avoid analogies or references that assume knowledge outside this listener's profile.

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