H800GPU算力服务器

VIDIA®H800 Tensor Core GPU可以为AI和数据分析应用提供加速支持。NVIDIA H800 GPU采用第四代Tensor Core和支持FP8精度的Transformer引擎，可加速训练大型语言模型。NVIDIA Hopper™架构采用第二代多实例GPU(MIG)技术，支持在虚拟环境中实现多租户、多用户配置，安全地将GPU划分为独立的、大小合适的实例，为受到保障的租户最大化地提升服务质量(QoS)。NVIDIA机密计算是Hopper全新的内置安全特性，使NVIDIA H800成为全球领先的带有机密计算能力的加速器。当用户在使用 H800 GPU 时，可以保护其数据和应用程序的机密信息和完整性。同时，Hopper的DPX指令在用于疾病诊断、实时路线优化和图形分析时，可加速动态规划算法。

The NVIDIA® H800 Tensor Core GPU provides accelerated support for AI and data analytics applications. The NVIDIA H800 GPU is equipped with the 4th-generation Tensor Core and a Transformer engine supporting FP8 precision, which accelerates the training of large language models. The NVIDIA Hopper™ architecture adopts the 2nd-generation Multi-Instance GPU (MIG) technology, enabling multi-tenant and multi-user configurations in virtualized environments: it safely partitions the GPU into independent, appropriately sized instances to maximize the quality of service (QoS) for guaranteed tenants. NVIDIA Confidential Computing is a brand-new built-in security feature of the Hopper architecture, making the NVIDIA H800 the world's leading accelerator with confidential computing capabilities. When users leverage the H800 GPU, they can safeguard the confidential information and integrity of their data and applications. Meanwhile, Hopper's DPX instructions accelerate dynamic programming algorithms when applied to disease diagnosis, real-time route optimization and graphical analysis.

搜集汇总

背景与挑战

背景概述

NVIDIA H800 GPU基于Hopper架构，具备第四代Tensor Core和FP8精度支持，专为AI训练和数据分析优化。其特色功能包括MIG多租户配置、机密计算安全保护以及DPX指令加速动态规划算法，适用于大型语言模型训练和医疗诊断等场景。