The NVIDIA DGX SuperPOD™ with NVIDIA DGX™ H100 systems is the next generation of data center architecture for artificial intelligence (AI). Designed to provide the levels of computing performance

With two architecture options, DGX SuperPOD enables every enterprise to integrate AI into their business and create innovative applications rather than struggling with platform complexity.

2024年10月1日 · The DGX SuperPOD architecture is a combination of DGX systems, InfiniBand and Ethernet networking, management nodes, and storage. Figure 2 shows the rack layout of a single SU. In this example, power consumption per rack exceeds 40 kW.

The DGX SuperPOD architecture integrates NVIDIA software solutions including NVIDIA Base Command™, NVIDIA AI Enterprise, CUDA, and NVIDIA Magnum IO™. These technologies help keep the system running at the highest levels of availability, performance, and with NVIDIA Enterprise Support (NVEX), keeps all components and

The NVIDIA DGX SuperPOD™ with NVIDIA DGX™ A100 systems is the next generation artificial intelligence (AI) supercomputing infrastructure, providing the computational power necessary to train today's state-of-the-art deep learning (DL) models and to fuel future innovation.

The NVIDIA DGX SuperPOD™ with NVIDIA DGX™ H100 system provides the computational power necessary to train today’s state-of-the-art deep learning (DL) models and to fuel innovation well into the future.

2024年10月1日 · The DGX SuperPOD architecture has been designed to maximize performance for state-of-the-art model training, scale to exaflops of performance, provide the highest performance to storage and support all customers in the enterprise, higher education, research, and the public sector.

DGX SuperPOD 配备 NVIDIA Base Command Manager，这是一款上佳的基础设施管理软件（NVIDIA 使用它来管理数千个系统），用于调配和生命周期管理、监控、遥测、记录、警报和调度。 DGX SuperPOD 包含专门的专业知识和嵌入式专业服务，涵盖从安装和基础设施管理到扩展工作负载，再到精简生产 AI 的整个范围。 我们会在如何管理 DGX SuperPOD 方面为您的 IT 团队提供培训，因此您不必担心操作技能上的差距。 它基于 DGX 构建，因此您可以直接接触到 …

The NVIDIA DGX SuperPODTM with NVIDIA DGXTM A100 systems is the next generation artificial intelligence (AI) supercomputing infrastructure, providing the computational power necessary to train today's state-of-the-art deep learning (DL) models and to fuel future innovation.

2024年10月1日 · Using the storage fabric on the DGX SuperPOD, a GDS-enabled application should be able to read data at over 40 GBps directly into the GPUs. High-speed storage provides a shared view of an organization’s data to all nodes.