If you are returning the DGX Station A100 to NVIDIA under an RMA, repack it in the packaging in which the replacement unit was advanced shipped to prevent damage during shipment. Introduction to the NVIDIA DGX A100 System. 0 ib2 ibp75s0 enp75s0 mlx5_2 mlx5_2 1 54:00. The results are compared against. For example, each GPU can be sliced into as many as 7 instances when enabled to operate in MIG (Multi-Instance GPU) mode. Failure to do so will result in the GPU s not getting recognized. 9. Caution. It is a system-on-a-chip (SoC) device that delivers Ethernet and InfiniBand connectivity at up to 400 Gbps. Refer to the appropriate DGX-Server User Guide for instructions on how to change theThis section covers the DGX system network ports and an overview of the networks used by DGX BasePOD. 2. Operating System and Software | Firmware upgrade. Select your time zone. South Korea. Power off the system and turn off the power supply switch. Reserve 512MB for crash dumps (when crash is enabled) nvidia-crashdump. Start the 4 GPU VM: $ virsh start --console my4gpuvm. . The NVIDIA DGX POD reference architecture combines DGX A100 systems, networking, and storage solutions into fully integrated offerings that are verified and ready to deploy. crashkernel=1G-:0M. CAUTION: The DGX Station A100 weighs 91 lbs (41. Connect a keyboard and display (1440 x 900 maximum resolution) to the DGX A100 System and power on the DGX Station A100. DGX A100 System User Guide DU-09821-001_v01 | 1 CHAPTER 1 INTRODUCTION The NVIDIA DGX™ A100 system is the universal system purpose-built for all AI infrastructure and workloads, from analytics to training to inference. 00. VideoNVIDIA Base Command Platform 動画. Close the System and Check the Display. DGX A100 User Guide. Explore the Powerful Components of DGX A100. Refer to the DGX A100 User Guide for PCIe mapping details. . py to assist in managing the OFED stacks. It includes platform-specific configurations, diagnostic and monitoring tools, and the drivers that are required to provide the stable, tested, and supported OS to run AI, machine learning, and analytics applications on DGX systems. When updating DGX A100 firmware using the Firmware Update Container, do not update the CPLD firmware unless the DGX A100 system is being upgraded from 320GB to 640GB. 40 GbE NFS 200 Gb HDR IB 100 GbE NFS (4) DGX A100 systems (2) QM8700. Place an order for the 7. 3 kg). Access to the latest NVIDIA Base Command software**. At the front or the back of the DGX A100 system, you can connect a display to the VGA connector and a keyboard to any of the USB ports. Front-Panel Connections and Controls. . NVIDIA DGX A100 System DU-10044-001 _v03 | 2 1. DGX A100 Network Ports in the NVIDIA DGX A100 System User Guide. Training Topics. DGX A100 BMC Changes; DGX. South Korea. DGX-2 (V100) DGX-1 (V100) DGX Station (V100) DGX Station A800. To enter the SBIOS setup, see Configuring a BMC Static IP Address Using the System BIOS . 0 80GB 7 A100-PCIE NVIDIA Ampere GA100 8. Featuring 5 petaFLOPS of AI performance, DGX A100 excels on all AI workloads–analytics, training, and inference–allowing organizations to standardize on a single system that can speed through any type of AI task. 3 in the DGX A100 User Guide. Changes in Fixed DPC Notification behavior for Firmware First Platform. Using the BMC. Be aware of your electrical source’s power capability to avoid overloading the circuit. 5X more than previous generation. . DGX OS 5 andlater 0 4b:00. The NVIDIA DGX OS software supports the ability to manage self-encrypting drives (SEDs), including setting an Authentication Key for locking and unlocking the drives on NVIDIA DGX H100, DGX A100, DGX Station A100, and DGX-2 systems. CUDA application or a monitoring application such as another. 1 in the DGX-2 Server User Guide. NVIDIA Docs Hub;140 NVIDIA DGX A100 nodes; 17,920 AMD Rome cores; 1,120 NVIDIA Ampere A100 GPUs; 2. U. Refer to the “Managing Self-Encrypting Drives” section in the DGX A100 User Guide for usage information. . A100 40GB A100 80GB 1X 2X Sequences Per Second - Relative Performance 1X 1˛25X Up to 1. DGX A100 also offers the unprecedented Multi-Instance GPU (MIG) is a new capability of the NVIDIA A100 GPU. The DGX H100 nodes and H100 GPUs in a DGX SuperPOD are connected by an NVLink Switch System and NVIDIA Quantum-2 InfiniBand providing a total of 70 terabytes/sec of bandwidth – 11x higher than. Stop all unnecessary system activities before attempting to update firmware, and do not add additional loads on the system (such as Kubernetes jobs or other user jobs or diagnostics) while an update is in progress. GeForce or Quadro) GPUs. Trusted Platform Module Replacement Overview. 7. a). 8. Common user tasks for DGX SuperPOD configurations and Base Command. Don’t reserve any memory for crash dumps (when crah is disabled = default) nvidia-crashdump. To mitigate the security concerns in this bulletin, limit connectivity to the BMC, including the web user interface, to trusted management networks. These Terms & Conditions for the DGX A100 system can be found. The DGX A100 is an ultra-powerful system that has a lot of Nvidia markings on the outside, but there's some AMD inside as well. 10, so when running on earlier versions (or containers derived from earlier versions), a message similar to the following may appear. 6x NVIDIA. Using the BMC. Replace the new NVMe drive in the same slot. Safety . 2 BERT large inference | NVIDIA T4 Tensor Core GPU: NVIDIA TensorRT™ (TRT) 7. The A100 technical specifications can be found at the NVIDIA A100 Website, in the DGX A100 User Guide, and at the NVIDIA Ampere developer blog. Designed for multiple, simultaneous users, DGX Station A100 leverages server-grade components in an easy-to-place workstation form factor. Battery. Additional Documentation. The purpose of the Best Practices guide is to provide guidance from experts who are knowledgeable about NVIDIA® GPUDirect® Storage (GDS). 1 User Security Measures The NVIDIA DGX A100 system is a specialized server designed to be deployed in a data center. Push the metal tab on the rail and then insert the two spring-loaded prongs into the holes on the front rack post. dgxa100-user-guide. DGX systems provide a massive amount of computing power—between 1-5 PetaFLOPS—in one device. NVIDIAUpdated 03/23/2023 09:05 AM. The four-GPU configuration (HGX A100 4-GPU) is fully interconnected. Starting a stopped GPU VM. % deviceThe NVIDIA DGX A100 system is the universal system for all AI workloads, offering unprecedented compute density, performance, and flexibility in the world’s first 5 petaFLOPS +1. Front Fan Module Replacement Overview. dgx. 7nm (Release 2020) 7nm (Release 2020). Page 72 4. . NVSM is a software framework for monitoring NVIDIA DGX server nodes in a data center. Confirm the UTC clock setting. All studies in the User Guide are done using V100 on DGX-1. Installing the DGX OS Image from a USB Flash Drive or DVD-ROM. Obtain a New Display GPU and Open the System. 2. Page 81 Pull the I/O tray out of the system and place it on a solid, flat work surface. Network Connections, Cables, and Adaptors. The AST2xxx is the BMC used in our servers. . DGX provides a massive amount of computing power—between 1-5 PetaFLOPS in one DGX system. Enabling Multiple Users to Remotely Access the DGX System. 100-115VAC/15A, 115-120VAC/12A, 200-240VAC/10A, and 50/60Hz. 8TB/s of bidirectional bandwidth, 2X more than previous-generation NVSwitch. Lines 43-49 loop over the number of simulations per GPU and create a working directory unique to a simulation. For either the DGX Station or the DGX-1 you cannot put additional drives into the system without voiding your warranty. DGX Station A100 User Guide. If you plan to use DGX Station A100 as a desktop system , use the information in this user guide to get started. 1. DGX A100 Systems. A100 is the world’s fastest deep learning GPU designed and optimized for. This section describes how to PXE boot to the DGX A100 firmware update ISO. Today, during the 2020 NVIDIA GTC keynote address, NVIDIA founder and CEO Jensen Huang introduced the new NVIDIA A100 GPU based on the new NVIDIA Ampere GPU architecture. Configuring your DGX Station. The following sample command sets port 1 of the controller with PCI ID e1:00. The DGX-Server UEFI BIOS supports PXE boot. 8 NVIDIA H100 GPUs with: 80GB HBM3 memory, 4th Gen NVIDIA NVLink Technology, and 4th Gen Tensor Cores with a new transformer engine. DGX A100 also offers the unprecedentedMulti-Instance GPU (MIG) is a new capability of the NVIDIA A100 GPU. NVIDIA DGX™ A100 is the universal system for all AI workloads—from analytics to training to inference. 2. Running the Ubuntu Installer After booting the ISO image, the Ubuntu installer should start and guide you through the installation process. If your user account has been given docker permissions, you will be able to use docker as you can on any machine. In addition, it must be configured to expose the exact same MIG devices types across all of them. . 63. NVIDIA. 2, precision = INT8, batch size = 256 | A100 40GB and 80GB, batch size = 256, precision = INT8 with sparsity. DGX OS 5. 2 interfaces used by the DGX A100 each use 4 PCIe lanes, which means the shift from PCI Express 3. The command output indicates if the packages are part of the Mellanox stack or the Ubuntu stack. Access to the latest versions of NVIDIA AI Enterprise**. Operate the DGX Station A100 in a place where the temperature is always in the range 10°C to 35°C (50°F to 95°F). Obtaining the DGX OS ISO Image. In the BIOS Setup Utility screen, on the Server Mgmt tab, scroll to BMC Network Configuration, and press Enter. Operate and configure hardware on NVIDIA DGX A100 Systems. Access to Repositories The repositories can be accessed from the internet. The Multi-Instance GPU (MIG) feature allows the NVIDIA A100 GPU to be securely partitioned into up to seven separate GPU Instances for CUDA applications, providing multiple users with separate GPU resources for optimal GPU utilization. The new A100 80GB GPU comes just six months after the launch of the original A100 40GB GPU and is available in Nvidia’s DGX A100 SuperPod architecture and (new) DGX Station A100 systems, the company announced Monday (Nov. Fixed drive going into failed mode when a high number of uncorrectable ECC errors occurred. . Introduction. $ sudo ipmitool lan set 1 ipsrc static. This section provides information about how to use the script to manage DGX crash dumps. 1. 0 ib2 ibp75s0 enp75s0 mlx5_2 mlx5_2 1 54:00. Introduction to GPU-Computing | NVIDIA Networking Technologies. . Data SheetNVIDIA NeMo on DGX データシート. Boot the system from the ISO image, either remotely or from a bootable USB key. The World’s First AI System Built on NVIDIA A100. The latest NVIDIA GPU technology of the Ampere A100 GPU has arrived at UF in the form of two DGX A100 nodes each with 8 A100 GPUs. Microway provides turn-key GPU clusters including with InfiniBand interconnects and GPU-Direct RDMA capability. Locate and Replace the Failed DIMM. Installing the DGX OS Image Remotely through the BMC. Nvidia also revealed a new product in its DGX line-- DGX A100, a $200,000 supercomputing AI system comprised of eight A100 GPUs. 8x NVIDIA A100 Tensor Core GPU (SXM4) 4x NVIDIA A100 Tensor Core GPU (SXM4) Architecture. With a single-pane view that offers an intuitive user interface and integrated reporting, Base Command Platform manages the end-to-end lifecycle of AI development, including workload management. 1. 2. NVIDIA DGX A100 System DU-10044-001 _v01 | 57. Connecting To and. From the Disk to use list, select the USB flash drive and click Make Startup Disk. Do not attempt to lift the DGX Station A100. The screenshots in the following section are taken from a DGX A100/A800. This document describes how to extend DGX BasePOD with additional NVIDIA GPUs from Amazon Web Services (AWS) and manage the entire infrastructure from a consolidated user interface. . MIG is supported only on GPUs and systems listed. Installing the DGX OS Image Remotely through the BMC. Fixed drive going into read-only mode if there is a sudden power cycle while performing live firmware update. Display GPU Replacement. . Below are some specific instructions for using Jupyter notebooks in a collaborative setting on the DGXs. 2. The NVIDIA DGX™ A100 System is the universal system purpose-built for all AI infrastructure and workloads, from analytics to training to inference. DGX OS 5 Releases. Nvidia's updated DGX Station 320G sports four 80GB A100 GPUs, along with other upgrades. Customer Support Contact NVIDIA Enterprise Support for assistance in reporting, troubleshooting, or diagnosing problems with your DGX. DGX A100 sets a new bar for compute density, packing 5 petaFLOPS of AI performance into a 6U form factor, replacing legacy compute infrastructure with a single, unified system. Refer to the DGX OS 5 User Guide for instructions on upgrading from one release to another (for example, from Release 4 to Release 5). NVIDIA DGX Station A100. DGX A100 and DGX Station A100 products are not covered. DGX-2, or DGX-1 systems) or from the latest DGX OS 4. The GPU list shows 6x A100. Fixed drive going into failed mode when a high number of uncorrectable ECC errors occurred. DGX A100: enp226s0Use /home/<username> for basic stuff only, do not put any code/data here as the /home partition is very small. DGX A100 systems running DGX OS earlier than version 4. More details can be found in section 12. DGX A100 User Guide. Prerequisites The following are required (or recommended where indicated). 25 GHz and 3. To enable only dmesg crash dumps, enter the following command: $ /usr/sbin/dgx-kdump-config enable-dmesg-dump. 0 ib6 ibp186s0 enp186s0 mlx5_6 mlx5_8 3 cc:00. . Abd the HGX A100 16-GPU configuration achieves a staggering 10 petaFLOPS, creating the world’s most powerful accelerated server platform for AI and HPC. We arrange the specific numbering for optimal affinity. . From the Disk to use list, select the USB flash drive and click Make Startup Disk. A guide to all things DGX for authorized users. Built on the brand new NVIDIA A100 Tensor Core GPU, NVIDIA DGX™ A100 is the third generation of DGX systems. DGX-1 User Guide. These SSDs are intended for application caching, so you must set up your own NFS storage for long-term data storage. Re-Imaging the System Remotely. Replace the old network card with the new one. 0 Release: August 11, 2023 The DGX OS ISO 6. Find “Domain Name Server Setting” and change “Automatic ” to “Manual “. Bandwidth and Scalability Power High-Performance Data Analytics HGX A100 servers deliver the necessary compute. MIG allows you to take each of the 8 A100 GPUs on the DGX A100 and split them in up to seven slices, for a total of 56 usable GPUs on the DGX A100. This chapter describes how to replace one of the DGX A100 system power supplies (PSUs). 4. 25X Higher AI Inference Performance over A100 RNN-T Inference: Single Stream MLPerf 0. To enable both dmesg and vmcore crash. Note: The screenshots in the following steps are taken from a DGX A100. Configures the redfish interface with an interface name and IP address. This study was performed on OpenShift 4. 20gb resources. DGX A100 をちょっと真面目に試してみたくなったら「NVIDIA DGX A100 TRY & BUY プログラム」へ GO！ 関連情報. The NVIDIA AI Enterprise software suite includes NVIDIA’s best data science tools, pretrained models, optimized frameworks, and more, fully backed with. 84 TB cache drives. . One method to update DGX A100 software on an air-gapped DGX A100 system is to download the ISO image, copy it to removable media, and reimage the DGX A100 System from the media. 1. For the complete documentation, see the PDF NVIDIA DGX-2 System User Guide . . DGX H100 Network Ports in the NVIDIA DGX H100 System User Guide. You can manage only SED data drives, and the software cannot be used to manage OS drives, even if the drives are SED-capable. A pair of NVIDIA Unified Fabric. Prerequisites Refer to the following topics for information about enabling PXE boot on the DGX system: PXE Boot Setup in the NVIDIA DGX OS 6 User Guide. Nvidia DGX is a line of Nvidia-produced servers and workstations which specialize in using GPGPU to accelerate deep learning applications. DGX-1 User Guide. NVIDIA A100 “Ampere” GPU architecture: built for dramatic gains in AI training, AI inference, and HPC performance. In the BIOS Setup Utility screen, on the Server Mgmt tab, scroll to BMC Network Configuration, and press Enter. This update addresses issues that may lead to code execution, denial of service, escalation of privileges, loss of data integrity, information disclosure, or data tampering. ‣ NVIDIA DGX Software for Red Hat Enterprise Linux 8 - Release Notes ‣ NVIDIA DGX-1 User Guide ‣ NVIDIA DGX-2 User Guide ‣ NVIDIA DGX A100 User Guide ‣ NVIDIA DGX Station User Guide 1. Apply; Visit; Jobs;. 0 40GB 7 A100-SXM4 NVIDIA Ampere GA100 8. Installs a script that users can call to enable relaxed-ordering in NVME devices. Featuring five petaFLOPS of AI performance, DGX A100 excels on all AI workloads: analytics, training, and inference. 0 to Ethernet (2): ‣ MIG User Guide The new Multi-Instance GPU (MIG) feature allows the NVIDIA A100 GPU to be securely partitioned into up to seven separate GPU Instances for CUDA applications. The Remote Control page allows you to open a virtual Keyboard/Video/Mouse (KVM) on the DGX A100 system, as if you were using a physical monitor and keyboard connected to. Shut down the system. NVSwitch on DGX A100, HGX A100 and newer. Below are some specific instructions for using Jupyter notebooks in a collaborative setting on the DGXs. or cloud. Every aspect of the DGX platform is infused with NVIDIA AI expertise, featuring world-class software, record-breaking NVIDIA. The software cannot be used to manage OS drives even if they are SED-capable. . Part of the NVIDIA DGX™ platform, NVIDIA DGX A100 is the universal system for all AI workloads, offering unprecedented compute density, performance, and flexibility in the world’s first 5 petaFLOPS AI system. The A100 draws on design breakthroughs in the NVIDIA Ampere architecture — offering the company’s largest leap in performance to date within its eight. NVIDIA DGX SuperPOD Reference Architecture - DGXA100 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. . Up to 5 PFLOPS of AI Performance per DGX A100 system. Lock the network card in place. Identifying the Failed Fan Module. White PaperNVIDIA DGX A100 System Architecture. Get a replacement battery - type CR2032. All GPUs on the node must be of the same product line—for example, A100-SXM4-40GB—and have MIG enabled. Enterprises, developers, data scientists, and researchers need a new platform that unifies all AI workloads, simplifying infrastructure and accelerating ROI. 2 terabytes per second of bidirectional GPU-to-GPU bandwidth, 1. Note: The screenshots in the following steps are taken from a DGX A100. a) Align the bottom edge of the side panel with the bottom edge of the DGX Station. To view the current settings, enter the following command. The Data Science Institute has two DGX A100's. . 09, the NVIDIA DGX SuperPOD User Guide is no longer being maintained. Introduction The NVIDIA DGX™ A100 system is the universal system purpose-built for all AI infrastructure and workloads, from analytics to training to inference. Changes in. The DGX BasePOD is an evolution of the POD concept and incorporates A100 GPU compute, networking, storage, and software components, including Nvidia’s Base Command. Install the New Display GPU. Explore the Powerful Components of DGX A100. DGX H100 Locking Power Cord Specification. 0 is currently being used by one or more other processes ( e. Please refer to the DGX system user guide chapter 9 and the DGX OS User guide. To recover, perform an update of the DGX OS (refer to the DGX OS User Guide for instructions), then retry the firmware. 12. Installing the DGX OS Image Remotely through the BMC. corresponding DGX user guide listed above for instructions. 18x NVIDIA ® NVLink ® connections per GPU, 900 gigabytes per second of bidirectional GPU-to-GPU bandwidth. . 1, precision = INT8, batch size 256 | V100: TRT 7. Simultaneous video output is not supported. NVIDIA DGX offers AI supercomputers for enterprise applications. The NVIDIA DGX™ A100 System is the universal system purpose-built for all AI infrastructure and workloads, from analytics to training to inference. Part of the NVIDIA DGX™ platform, NVIDIA DGX A100 is the universal system for all AI workloads, offering unprecedented compute density, performance, and flexibility in the. 12. The system provides video to one of the two VGA ports at a time. By default, the DGX A100 System includes four SSDs in a RAID 0 configuration. The DGX Software Stack is a stream-lined version of the software stack incorporated into the DGX OS ISO image, and includes meta-packages to simplify the installation process. In the BIOS setup menu on the Advanced tab, select Tls Auth Config. 512 ™| V100: NVIDIA DGX-1 server with 8x NVIDIA V100 Tensor Core GPU using FP32 precision | A100: NVIDIA DGX™ A100 server with 8x A100 using TF32 precision. Data SheetNVIDIA DGX A100 80GB Datasheet. Replace the battery with a new CR2032, installing it in the battery holder. 2 NVMe drives from NVIDIA Sales. resources directly with an on-premises DGX BasePOD private cloud environment and make the combined resources available transparently in a multi-cloud architecture. Label all motherboard tray cables and unplug them. 0 ib6 ibp186s0 enp186s0 mlx5_6 mlx5_8 3 cc:00. If you want to enable mirroring, you need to enable it during the drive configuration of the Ubuntu installation. . Quick Start and Basic Operation — dgxa100-user-guide 1 documentation Introduction to the NVIDIA DGX A100 System Connecting to the DGX A100 First Boot. Page 43 Maintaining and Servicing the NVIDIA DGX Station Pull the drive-tray latch upwards to unseat the drive tray. This document is for users and administrators of the DGX A100 system. It also includes links to other DGX documentation and resources. 1 USER SECURITY MEASURES The NVIDIA DGX A100 system is a specialized server designed to be deployed in a data center. 1. . The NVIDIA DGX A100 System User Guide is also available as a PDF. . As your dataset grows, you need more intelligent ways to downsample the raw data. This user guide details how to navigate the NGC Catalog and step-by-step instructions on downloading and using content. . Any A100 GPU can access any other A100 GPU’s memory using high-speed NVLink ports. RAID-0 The internal SSD drives are configured as RAID-0 array, formatted with ext4, and mounted as a file system. The system is built on eight NVIDIA A100 Tensor Core GPUs. On square-holed racks, make sure the prongs are completely inserted into the hole by. DGX A100 features up to eight single-port NVIDIA ® ConnectX®-6 or ConnectX-7 adapters for clustering and up to two13. . 7. Installing the DGX OS Image. To install the CUDA Deep Neural Networks (cuDNN) Library Runtime, refer to the. Featuring the NVIDIA A100 Tensor Core GPU, DGX A100 enables enterprises to. For DGX-2, DGX A100, or DGX H100, refer to Booting the ISO Image on the DGX-2, DGX A100, or DGX H100 Remotely. DGX A100 also offers the unprecedentedThe DGX A100 has 8 NVIDIA Tesla A100 GPUs which can be further partitioned into smaller slices to optimize access and utilization. Sistem ini juga sudah mengadopsi koneksi kecepatan tinggi dari Nvidia mellanox HDR 200Gbps. Enterprises, developers, data scientists, and researchers need a new platform that unifies all AI workloads, simplifying infrastructure and accelerating ROI. Label all motherboard cables and unplug them. DGX Station A100 Quick Start Guide. DGX OS 5 Software RN-08254-001 _v5. x release (for DGX A100 systems). NVIDIA DGX A100 is the world’s first AI system built on the NVIDIA A100 Tensor Core GPU. Figure 21 shows a comparison of 32-node, 256 GPU DGX SuperPODs based on A100 versus H100. DGX OS Server software installs Docker CE which uses the 172. DGX is a line of servers and workstations built by NVIDIA, which can run large, demanding machine learning and deep learning workloads on GPUs. . The building block of a DGX SuperPOD configuration is a scalable unit(SU). run file. Log on to NVIDIA Enterprise Support. For the DGX-2, you can add additional 8 U. patents, foreign patents, or pending. Explore DGX H100. DGX A100, allowing system administrators to perform any required tasks over a remote connection. The DGX SuperPOD is composed of between 20 and 140 such DGX A100 systems. Download the archive file and extract the system BIOS file. BrochureNVIDIA DLI for DGX Training Brochure. NVIDIA is opening pre-orders for DGX H100 systems today, with delivery slated for Q1 of 2023 – 4 to 7 months from now. To accomodate the extra heat, Nvidia made the DGXs 2U taller, a design change that. Availability. 3. Built on the revolutionary NVIDIA A100 Tensor Core GPU, the DGX A100 system enables enterprises to consolidate training, inference, and analytics workloads into a single, unified data center AI infrastructure. The DGX Station A100 weighs 91 lbs (43. 68 TB U. . Enabling Multiple Users to Remotely Access the DGX System. What’s in the Box. . NVIDIA DGX™ A100 is the universal system for all AI workloads—from analytics to training to inference. The NVIDIA DGX OS software supports the ability to manage self-encrypting drives (SEDs), ™ including setting an Authentication Key for locking and unlocking the drives on NVIDIA DGX A100 systems. With DGX SuperPOD and DGX A100, we’ve designed the AI network fabric to make growth easier with a. . 0 is currently being used by one or more other processes ( e. . % device % use bcm-cpu-01 % interfaces % use ens2f0np0 % set mac 88:e9:a4:92:26:ba % use ens2f1np1 % set mac 88:e9:a4:92:26:bb % commit .