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Here's how to Save energy when using Nvidia DGX A100 system.

i. The NVIDIA DGX A100 is a powerful AI system that combines eight NVIDIA A100 GPUs with 320GB or 640GB of GPU memory, delivering up to 5 petaFLOPS of AI performance. The system is designed to handle various AI workloads, such as training, inference, and analytics, on a single platform.

According to some web sources, the DGX A100 has a suggested price of nearly $200,000, although the actual cost may vary depending on the configuration, availability, and vendor. The system also requires high-end infrastructure and support, which may add to the total cost of ownership.

The DGX A100 consumes up to 6.5kW of power, which is lower than the previous generation DGX-2, which consumed up to 10kW⁴. The system also supports NVIDIA Multi-Instance GPU (MIG) technology, which allows each A100 GPU to be partitioned into up to seven independent instances for different workloads, improving the energy efficiency and utilization of the system.

ii. There are actually two main user guides for the NVIDIA DGX A100 system, depending on your specific needs:

**1. DGX A100 System User Guide:**

This guide provides a comprehensive overview of the DGX A100 system, including:

* Hardware overview
* Installation and configuration
* Software setup and management
* Additional features and instructions
* Safety and compliance information

It's a good starting point for anyone who wants to learn about the basic functionalities and setup of the DGX A100 system. You can find this guide here: [https://docs.nvidia.com/dgx/pdf/dgxa100-user-guide.pdf](https://docs.nvidia.com/dgx/pdf/dgxa100-user-guide.pdf)

**2. Quick Start and Basic Operation:**

This document focuses on the initial setup and basic operation of the DGX A100 system. It covers:

* Powering on and off the system
* Setting up the first boot
* Verifying functionality with a health check
* Installing Docker and NVIDIA drivers
* Network configuration

This guide is ideal if you want to quickly get started with the DGX A100 and perform basic tasks like running containers and testing basic functionality. You can find it here: [https://docs.nvidia.com/dgx/pdf/dgxa100-user-guide.pdf]

**Additional resources:**

* **NVIDIA DGX A100 Landing Page:** [https://www.nvidia.com/en-us/data-center/dgx-a100/]
* **NVIDIA DGX Support:** [https://www.nvidia.com/en-us/data-center/dgx-support/]
* **NVIDIA Developer Blog:** [https://developer.nvidia.com/blog/]

Remember, the specific instructions and features might vary depending on your system configuration and software version. If you have specific questions or need help with advanced tasks, consult the detailed user guides and reach out to NVIDIA support for further assistance.

Learn more@ https://www.youtube.com/c/ITGuides/search?query=DGX.