UFM to leaf connections. With NVIDIA DGX B200, enterprises can equip their data scientists and developers with a webpage: Data Sheet NVIDIA DGX B200 Datasheet. 5X more than previous generation. Introducing the groundbreaking NVIDIA DGX B200, the world's first system powered by the revolutionary NVIDIA Blackwell architecture. The NVIDIA DGX B200 is a unified AI platform optimized for enterprise AI workloads, featuring eight NVIDIA Blackwell GPUs interconnected with fifth-generation NVLink. The GB200 Grace Blackwell Superchip is a key component of the NVIDIA Leveraging the NVIDIA Blackwell GPU architecture, DGX B200 can handle diverse workloads—including large language models, recommender systems, and chatbots—making it ideal for businesses looking to accelerate their AI transformation. Mar 18, 2024 · Where things get interesting is with the B200. sixth spot Write better code with AI Code review. NDR Cables, 400 Gbps. However, this one is packing more than twice the GPUs. Compute nodes. 144TB DDR4 (DGX SuperPOD Total) 49TB GPU High-Bandwidth Memory (DGX SuperPOD total) See the DGX-2H datasheet for node-level specifications. These systems typically come in a rackmount format featuring high-performance x86 server CPUs on the motherboard. 1. DGX B200 is the latest addition to the NVIDIA accelerated computing platform to showcase that commitment. Mar 24, 2022 · The Cisco UCS B200 M5 server is a half-width blade. Jul 8, 2024 · NVIDIA DGX BasePOD incorporates tested and proven design principles into an integrated AI infrastructure solution that incorporates best-of-breed NVIDIA DGX systems, NVIDIA software, NVIDIA networking, and an ecosystem of high-performance storage to enable AI innovation for the modern Mar 18, 2024 · Customers can also build DGX SuperPOD using DGX B200 systems to create AI Centers of Excellence that can power the work of large teams of developers running many different jobs. 8U system with 8 x NVIDIA H100 Tensor Core GPUs. This RA document for DGX SuperPOD represents the architecture used by NVIDIA for our own AI model and HPC research and development. Effortlessly providing multiple, simultaneous users with a centralized AI resource, DGX Station A100 is the workgroup appliance for the age of AI. NVIDIA DGX B200 Blackwell 1,440GB 4TB AI Supercomputer NEW. In addition to eight H100 GPUs with an aggregated 640 billion transistors, each DGX H100 system includes two NVIDIA BlueField ® -3 DPUs to offload DGX SuperPOD with DGX GB200 systems is liquid-cooled, rack-scale AI infrastructure with intelligent predictive management capabilities that scales to tens of thousands of NVIDIA GB200 Grace Blackwell Superchips for training and inferencing trillion-parameter generative AI models. GPU SuperServer SYS-420GP-TNAR+ with NVIDIA A100s NEW. Each pair of in-band management and storage ports provide parallel pathways into the DGX B200 system for increased performance. NVIDIA DGX™ GH200 fully connects 256 NVIDIA Grace Hopper™ Superchips into a singular GPU, offering up to 144 terabytes of shared memory with linear scalability for giant terabyte-class AI models such as massive recommender systems, generative AI, and graph analytics. Powerful AI Software Suite Included With the DGX Platform. Mellanox CS7510 Director Switches. A more compact supercomputer variant of that would be the DGX B200 offering a scalable air-cooled design. May 2, 2024 · Transceivers in the DGX B200 Systems. NVIDIA DGX B200 system with eight B200 GPUs. Keep exploring the DGX platform, or get started experiencing the benefits of NVIDIA DGX immediately with DGX Cloud and a wide variety of rental and purchase options. For reference, its past incarnations are the DGX H100, and the DGX A100 personal supercomputer. DGX A100 also offers the unprecedented Documentation for users and administrators that explains how to install, set up, use, and maintain the NVIDIA® DGX-1™ Deep Learning System. NVIDIA DGX H100 and DGX A100 systems feature the world’s most advanced DGX BasePOD provides a prescriptive AI infrastructure for enterprises, eliminating the design challenges, lengthy deployment cycle, and management complexity traditionally associated with scaling AI infrastructure. NVIDIA® DGX-2TM is the world’s first 2 petaFLOPS system, packing the power of 16 of the world’s most advanced GPUs, accelerating the newest deep learning model types that were previously untrainable. In comparison with legacy x86 architectures, DGX-2’s NVIDIA DGX Cloud is the world’s first AI supercomputer in the cloud, a multi-node AI-training-as-a-service solution that provides the infrastructure and software needed to train advanced models for LLMs, generative AI and other groundbreaking applications. 5TB Network 8X 100Gb/sec Infiniband/100GigE Dual 10 BrochureNVIDIA DLI for DGX Training Brochure. 980-9I51A-00NS00. Read the Datasheet. Mar 29, 2024 · The memory of the B100 and B200 is larger than the H100 and H200. 5TB, while the DGX B200 datasheet clearly states 1440GB, or 180GB per GPU). 知乎专栏提供用户分享个人见解和专业知识的平台。 NVIDIA DGX™ B200 is an unified AI platform for develop-to-deploy pipelines for businesses of any size at any stage in their AI journey. 7 GHz, 24-cores System Memory 1. The NVLink Switch System forms a two-level, non NVIDIA DGX GB200 データシート Read DGX B200 Systems Datasheet DGX SuperPOD With NVIDIA DGX H100 Systems DGX SuperPOD with NVIDIA DGX H100 Systems is best for scaled infrastructure supporting the largest, most complex or transformer-based AI workloads, such as large language models with the NVIDIA NeMo framework and deep learning recommender systems. 18x NVIDIA NVLink® connections per GPU, 900GB/s of bidirectional GPU-to-GPU bandwidth. Stretching across the baseboard management controller, CPU board, GPU board, self-encrypted drives, and secure webpage: Data Sheet NVIDIA DGX B200 Datasheet. Read DGX B200 Systems Datasheet. DGX B200 systems to leaf, leaf to spine UFM to leaf connections. It also explains the technological breakthroughs of the NVIDIA Hopper architecture. 10x NVIDIA ConnectX®-7 400Gb/s Network Interface. Enterprises, developers, data scientists, and researchers need a new platform that unifies all AI workloads, simplifying infrastructure and accelerating ROI. The compute power of the B100 is about 3/4 of the B200. The compute fabric ports in the middle use a two-port transceiver to access all eight GPUs. Storage InfiniBand Cables¹ ². Details how compute, networking switches DGX Station brings the incredible performance of an AI supercomputer in a workstation form factor that takes advantage of innovative engineering and a water-cooled system that runs whisper-quiet. webpage: Data Sheet NVIDIA DGX H100 Datasheet. NVIDIA DGX B200 データシート NVIDIA DGX A100 40GB Datasheet. Accept. The NVIDIA AI Enterprise software suite includes NVIDIA’s best data science tools, pretrained models, optimized frameworks, and more, fully backed with NVIDIA enterprise support. 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. ベース NVIDIA DGX B200 Datasheet The latest addition to the NVIDIA DGX systems, DGX B200 delivers a unified platform for training, fine-tuning and inferencing in a single solution optimized for enterprise AI workloads, powered by the NVIDIA Blackwell GPU. NVIDIA DGX™ B200 is an unified AI platform for develop-to-deploy pipelines for businesses of any size at any stage in their AI journey. The NVIDIA DGX-1 Deep Learning System is built specifically for deep learning with fully integrated hardware and software that can be deployed quickly and easily. DGX GH200 is the first supercomputer to pair Grace Hopper Superchips with the NVIDIA NVLink Switch System, which allows up to 256 GPUs to be united as one data-center-size GPU. Mar 18, 2024 · AWS to offer NVIDIA Grace Blackwell GPU-based Amazon EC2 instances and NVIDIA DGX Cloud to accelerate performance of building and running inference on multi-trillion parameter LLMsIntegration of AWS Nitro System, Elastic Fabric Adapter encryption, and AWS Key Management Service with Blackwell encryption provides customers end-to-end control of their training data and model weights to provide Customers can also build DGX SuperPOD using DGX B200 systems to create AI Centers of Excellence that can power the work of large teams of developers running many different jobs. 44 exaFLOPs of FP4, 13. 1,152 (DGX SuperPOD Total) System Memory. With the computing capacity of 140 servers in a single system that integrates the latest NVIDIA GPU technology with the world’s most advanced deep learning software stack, you can take advantage of NVIDIA DGX B200 | Datasheet | 2 Powerhouse of AI Performance NVIDIA is dedicated to designing the next generation of the world’s most powerful supercomputers, built to tackle the most complex AI problems that enterprises face. Mar 21, 2024 · Nvidia's DGX GB200 NVL72 is a rack scale system that uses NVLink to mesh 72 Blackwell accelerators into one big GPU (click to enlarge) Dubbed the DGX GB200 NVL72, the system is an evolution of the Grace-Hopper Superchip based rack systems Nvidia showed off back in November. Description. 7. Apr 8, 2024 · NVIDIA DGX H800 640GB SXM5 2TB NEW. fuel innovation well into the future. Equipped with eight NVIDIA Blackwell GPUs interconnected with fifth-generation NVIDIA® NVLink®, DGX B200 delivers leading-edge performance, offering 3X the training performance and 15X the inference The NVIDIA GH200 Grace Hopper ™ Superchip is a breakthrough processor designed from the ground up for giant-scale AI and high-performance computing (HPC) applications. DGX B200 is the sixth generation of air-cooled, traditional rack-mounted DGX designs used by industries worldwide. OEM向けの「HGX B200」と「HGX B100」も登場しています。すでにこちらはGigabyteから搭載製品が予告されています。 性能のみ示します。 May 2, 2024 · DGX SuperPOD with NVIDIA DGX B200 systems is the next generation of data center scale architecture to meet the demanding and growing needs of AI training. Its compute foundation is built on NVIDIA DGX H100 or DGX A100 systems, which provide unprecedented compute density, performance, and flexibility. NVIDIA DGX B200 | Datasheet | 2 Powerhouse of AI Performance NVIDIA is dedicated to designing the next generation of the world’s most powerful supercomputers, built to tackle the most complex AI problems that enterprises face. DGX Benefits Get Started with DGX. Networking. 4x NVIDIA NVSwitches™. Reference Guide. We would like to show you a description here but the site won’t allow us. As a premier accelerated scale-up platform with up to 15X more inference performance than the previous generation, Blackwell-based HGX systems are . DGX SuperPOD with NVIDIA DGX B200 Systems is ideal for scaled infrastructure supporting enterprise teams of any size with complex, diverse AI workloads, such as building large language models, optimizing supply chains, or extracting intelligence from mountains of data. 980-9I570-00N030. 世界で最も安全なエンタープライズ向けAIシステム. The DGX SuperPOD RA represents the best practices for building high-performance data centers. May 2, 2024 · Table 1. Built from the ground up for enterprise AI, the NVIDIA DGX platform combines the best of NVIDIA software, infrastructure, and expertise. The NVIDIA DGX Station packs 500 teraFLOPS of performance, with the first and only workstation built on four NVIDIA Tesla® V100 accelerators The World’s Most Secure AI System for Financial Services. In comparison with legacy x86 architectures, DGX-2’s With its performance-engineered deep learning software stack, DGX-1 delivers up to three times faster training speed than other GPU-based systems. NVIDIA Tensor Cores 983,040 (DGX SuperPOD Total) NVSwitches. As part of the NVIDIA DGX™ platform, NVIDIA DGX BasePOD™ provides the reference architecture on which businesses can build and scale AI infrastructure. The NVIDIA HGX B200 and HGX B100 integrate NVIDIA Blackwell Tensor Core GPUs with high-speed interconnects to propel the data center into a new era of accelerating computing and generative AI. Equipped with eight NVIDIA Blackwell GPUs interconnected with fifth-generation NVIDIA® NVLink®, DGX B200 delivers leading-edge performance, offering 3X the training performance and 15X the inference NVIDIA DGX-2 | DATA SHEET | Jul19 SYSTEM SPECIFICATIONS GPUs 16X NVIDIA ® Tesla V100 GPU Memory 512GB total Performance 2 petaFLOPS NVIDIA CUDA® Cores 81920 NVIDIA Tensor Cores 10240 NVSwitches 12 Maximum Power Usage 10kW CPU Dual Intel Xeon Platinum 8168, 2. 4 terabytes (TB) of GPU memory and 64 terabytes per second (TB/s) of memory bandwidth, making it uniquely suited to handle any enterprise AI workload. NVIDIA DGX A100 delivers the most robust security posture for financial services firms, with a multi-layered approach that secures all major hardware and software components. NVIDIA DGX B200 System The NVIDIA DGX B200 system (Figure 1) is an AI powerhouse that enables enterprises to expand the frontiers of business innovation and optimization. NVIDIA H100 NVL GPU HBM3 PCI-E 94GB 350W NEW SALE. DGX SuperPOD can be deployed on-premises, meaning the customer owns and manages the The latest addition to the NVIDIA DGX systems, DGX B200 delivers a unified platform for training, fine-tuning and inferencing in a single solution optimized for enterprise AI workloads, powered by the NVIDIA Blackwell GPU. See our cookie policy for further details on how we use cookies and how to change your cookie settings. 4. About this Document NVIDIA DGX B200 Systems Advance AI Supercomputing for Industries NVIDIA also unveiled the NVIDIA DGX B200 system, a unified AI supercomputing platform for AI model training, fine-tuning and inference. Supermicro SuperServer SYS-741GE-TNRT . NVIDIA DGX™ B200 是全球最靈活的企業人工智慧系統，適合各種規模的企業，也不受人工智慧部署階段侷限。DGX B200 配備 8 個 NVIDIA Blackwell GPU，並與第五代 NVIDIA® NVLink® 相互連結，可提供頂尖的效能。與前幾代相比，訓練效能和推論效能分別達到先前的 3 倍和 15 倍。 BrochureNVIDIA DLI for DGX Training Brochure. 2TB/s of bidirectional GPU-to-GPU bandwidth, 1. NVLink and NVSwitch fabric for high-speed GPU to GPU communication. 5 TB of HBM3e, 2 miles of NVLink cables, in one liquid cooled unit GTC Nvidia revealed its most powerful DGX server to date on Monday. NVIDIA DGX SuperPOD™ with DGX GB200 systems is purpose-built for training and inferencing trillion-parameter generative AI models. webpage: Data Sheet NVIDIA DGX B200 Datasheet. With NVIDIA® NVLink® Switch System direct communication between up to NVIDIA DGX B200 Boost AI with NVIDIA DGX B200. According to Nvidia its DGX B200 chassis with eight B200 GPUs will consume roughly 14. UFM System 400G OSFP Multimode Transceivers. Manage code changes NVIDIA DGX™ B200 is an unified AI platform for develop-to-deploy pipelines for businesses of any size at any stage in their AI journey. You can configure the B200 M5 to meet your local storage requirements without having to buy, power, and This DGX SuperPOD reference architecture (RA) is the result of codesign between DL scientists, application performance engineers, and system architects to build a system capable of supporting the widest range of DL workloads. Read the Technical Brief Mar 18, 2024 · Customers can also build DGX SuperPOD using DGX B200 systems to create AI Centers of Excellence that can power the work of large teams of developers running many different jobs. Now available with DGX B200, H200 and H100 Systems. Each NVIDIA Grace Hopper Superchip in NVIDIA DGX GH200 has 480 GB LPDDR5 CPU memory, at an eighth of the power per GB, compared with DDR5 and 96 GB of fast HBM3. NVIDIA DGX BasePOD Reference Architecture - DGX B200, DGX H200, and DGX H100 Systems. Storage Helping further demistify the announcements at GTC, Nvidia have now released the datasheet for the DGX B200 Platform. May 2, 2024 · Figure 4 shows the ports on the back of the DGX B200 CPU tray and the connectivity provided. NDR AOC Cables, 2x 200 Gbps QSFP56-QSFP56. Technology. webpage: Data Sheet NVIDIA DGX H200 Datasheet. NVIDIA AI Enterprise is included with the DGX platform and is used in combination with NVIDIA Base Command. VideoJumpstart Your AI Strategy with DGX. 4TB of GPU memory and The DGX is a unified AI platform for every stage of the AI pipeline, from training to fine-tuning to inference. The DGX B200 system Mar 19, 2024 · DGX B200は、1兆パラメータのモデルも想定しており、推論性能は15倍となっているとのことです。 HGX B200 / HGX B100. Cloud Adoption. In comparison with legacy x86 architectures, DGX-2’s NVIDIA® DGX-2TM is the world’s first 2 petaFLOPS system, packing the power of 16 of the world’s most advanced GPUs and acelerating the newest deep learning model types that were previously untrainable. SUPERMICRO 8x A100 AI AS-4124GO-NART+ Server May 28, 2023 · NVIDIA today announced a new class of large-memory AI supercomputer — an NVIDIA DGX™ supercomputer powered by NVIDIA® GH200 Grace Hopper Superchips and the NVIDIA NVLink® Switch System — created to enable the development of giant, next-generation models for generative AI language applications, recommender systems and data analytics workloads. 4TB of GPU memory and NVIDIA DGX™ GH200 fully connects 256 NVIDIA Grace Hopper™ Superchips into a singular GPU, offering up to 144 terabytes of shared memory with linear scalability for giant terabyte-class AI models such as massive recommender systems, generative AI, and graph analytics. NVIDIA Base Command software is used to manage all DGX SuperPOD deployments. 8x NVIDIA H200 GPUs with 1,128GBs of Total GPU Memory. This datasheet details the performance and product specifications of the NVIDIA H100 Tensor Core GPU. msDG-11301-001 v4 May 2023AbstractThe NVIDIA DGX SuperPODTM with NVIDIA DGXTM H100 system provides the computational power necessary to train today’s state-of-the-art deep learning (DL) models and t. NVIDIA DGX A100は、あらゆる主要なハードウェアおよびソフトウェアコンポーネントを保護する多層的なアプローチによって、AIを活用する企業において最も堅牢なセキュリティ体制を実現します。. Jun 27, 2024 · NVIDIA DGX BasePOD: The Infrastructure Foundation for Enterprise AI Reference Architecture Featuring NVIDIA DGX B200, H200 and H100 Systems Document Number RA-11127-001 V2 AI is powering mission-critical use cases in every industry—from healthcare to manufacturing to financial services. Equipped with eight NVIDIA Blackwell GPUs interconnected with fifth-generation NVIDIA® NVLink®, DGX B200 delivers leading-edge performance, offering 3X the training performance and 15X the inference DGX SuperPOD with DGX GB200 systems is liquid-cooled, rack-scale AI infrastructure with intelligent predictive management capabilities that scales to tens of thousands of NVIDIA GB200 Grace Blackwell Superchips for training and inferencing trillion-parameter generative AI models. 3kW – something that's going to require roughly 60kW of rack power and thermal headroom to handle. 10U system with 8x NVIDIA B200 Tensor Core GPUs. It features cutting-edge fourth-generation Tensor Cores and the Transformer Engine, enhancing training and inference speeds. 498. DGX SuperPOD is the integration of key NVIDIA components, as well as storage solutions from partners certified to work in a DGX SuperPOD environment. NVIDIA Grace CPU and Hopper GPU are interconnected with NVLink-C2C, providing 7x more bandwidth than PCIe Gen5 at one-fifth the power. The OOB port is used for BMC access. Each liquid-cooled rack features 36 NVIDIA GB200 Grace Blackwell Superchips–36 NVIDIA Grace CPUs and 72 Blackwell GPUs–connected as one with NVIDIA NVLink. The NVIDIA DGX™ B200 is an unified AI platform for develop-to-deploy pipelines for businesses of any size at any stage in their AI journey. Learn how the NVIDIA DGX™ A100 is the universal system for all AI workloads—from analytics to training to inference. 4TB of GPU memory and NVIDIA DGX™ A100 is the universal system for all AI workloads—from analytics to training to inference. Up to eight servers can reside in the 6-Rack-Unit (6RU) Cisco UCS 5108 Blade Server Chassis, offering one of the highest densities of servers per rack unit of blade chassis in the industry. Explore NVIDIA DGX H200. 48. 980-9I51S-00NS00. 4TB of GPU memory and 64TB/s of memory bandwidth AI Supercomputing for Data Science Teams. It’s capable of running training, inference, and analytics workloads in parallel, and with MIG, it can provide up to 28 separate GPU devices to individual. Configured with eight B200 GPUs, DGX B200 delivers unparalleled generative AI performance with a massive 1. The maximum memory for 8 GPUs is 1. As a foundation of NVIDIA DGX SuperPOD™, DGX H100 is an AI powerhouse that features the groundbreaking NVIDIA H100 Tensor Core GPU. The world’s premier purpose-built AI systems featuring NVIDIA B200 Tensor Core GPUs, fifth-generation NVIDIA NVLink, and fourth-generation NVIDIA NVSwitch™ technologies. The 120kW rack scale system uses GB200 NVL72 connects 36 Grace CPUs and 72 Blackwell GPUs in a rack-scale design. webpage: Solution Brief NVIDIA DGX BasePOD for Healthcare and Life Sciences. Mar 30, 2024 · On the other end of the scale, there’s also a HGX B200 server board that can link up to eight B200 GPUs with an x86-based generative AI platform. There is flexibility in how these systems can be presented to customers and users. In an air-cooled HGX or DGX configuration, each GPU can push 18 petaFLOPS of FP4 while sucking down a kilowatt. Enterprise Infrastructure for Mission-Critical AI. The DGX SuperPOD delivers groundbreaking performance, deploys in weeks as a fully Mar 18, 2024 · The Nvidia DGX SuperPOD with DGX GB200 and DGX B200 systems is expected to be available later this year through NVIDIA’s global partners. The latest addition to the NVIDIA DGX systems, DGX B200 delivers a unified platform for training, fine-tuning and inferencing in a single solution optimized for enterprise AI workloads, powered by the NVIDIA Blackwell GPU. SuperMicro SuperServer SYS-821GE-TNHR SXM5 640GB HGX H100 . 5TB (Note: NVIDIA’s website initially showed 1. Read DGX B200 Systems Datasheet DGX SuperPOD With NVIDIA DGX H100 Systems DGX SuperPOD with NVIDIA DGX H100 Systems is best for scaled infrastructure supporting the largest, most complex or transformer-based AI workloads, such as large language models with the NVIDIA NeMo framework and deep learning recommender systems. Equipped with eight NVIDIA Blackwell GPUs interconnected with fifth-generation NVIDIA® NVLink®, DGX B200 delivers leading-edge performance, offering 3X the training performance and 15X the inference performance of previous generations. The GB200 NVL72 is a liquid-cooled, rack-scale solution that boasts a 72-GPU NVLink domain that acts as a single massive GPU and delivers 30X faster real-time trillion-parameter LLM inference. Mar 18, 2024 · DGX B200 systems include the FP4 precision feature in the new Blackwell architecture, providing up to 144 petaflops of AI performance, a massive 1. This is more like a traditional DGX as we know it vs the DGX GB200 NVL72 Pod GPUs NVIDIA H100 Tensor Core GPU The NVIDIA H100 Tensor Core GPU stands out for its high performance in AI and HPC applications, offering remarkable scalability and security. Equipped with eight NVIDIA Blackwell GPUs interconnected with fifth-generation NVIDIA® NVLink®, DGX B200 delivers leading-edge performance, offering 3X the training performance and 15X the inference Mar 22, 2022 · Enterprise AI Scales Easily With DGX H100 Systems, DGX POD and DGX SuperPOD DGX H100 systems easily scale to meet the demands of AI as enterprises grow from initial projects to broad deployments. With groundbreaking GPU scale, you can train models 4X bigger on a single node. The Nvidia DGX represents a series of servers and workstations designed by Nvidia, primarily geared towards enhancing deep learning applications through the use of general-purpose computing on graphics processing units (GPGPU). Selene, a DGX SuperPOD used for research computing at NVIDIA, earned the . DGX SuperPOD / 4 SU hardware components ; Component. NVIDIA DGX H100 powers business innovation and optimization. Integral to NVIDIA's data center platform, it Learn how the NVIDIA DGX SuperPOD™ brings together leadership-class infrastructure with agile, scalable performance for the most challenging AI and high performance computing (HPC) workloads. The superchip delivers up to 10X higher performance for applications running terabytes of data, enabling scientists and researchers to reach unprecedented solutions for the world’s most complex problems. This architecture provides 48X more bandwidth than the previous generation, delivering the power of a massive AI supercomputer with the simplicity of programming a The NVIDIA H100 Tensor Core GPU enables an order-of-magnitude leap for large-scale AI and HPC with unprecedented performance, scalability, and security for every data center and includes the NVIDIA AI Enterprise software suite to streamline AI development and deployment. DGX B200 systems include the FP4 precision feature in the new Blackwell architecture, providing up to 144 petaflops of AI performance, a massive 1. 4TB, which does not match 192GB*8, and was later corrected to 1. NVIDIA DGX SuperPOD brings together a design-optimized combination of AI computing, network fabric, storage, and software. This cutting-edge solution delivers unparalleled performance to tackle the most complex AI tasks like generative AI, LLM and NLP. 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