dgx a100 datasheet

NVIDIA DGX A100 systems are now part of our cloud service offerings. 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. As the engine of the NVIDIA data center platform, A100 can efficiently scale to thousands of GPUs or, with NVIDIA Multi-Instance GPU (MIG) technology, be partitioned into seven GPU instances to accelerate workloads of all sizes.

The A100 SXM4 is a professional graphics card by NVIDIA, launched in May 2020.

GPU. The DGX A100 incorporates a one-to-one relationship between the I/O cards and the GPUs, which means each GPU can communicate directly with external sources without blocking other GPU access to the network. Organizations of all kinds are incorporating AI into their research, development, product, and business processes. Datasheet. NVIDIA DGXperts complement your in-house AI expertise and let you combine an enterprise-grade platform with augmented AI-fluent talent to achieve your organization’s AI project goals.The most common methods of moving  data to and from the GPU involve leveraging the on-board storage and using the Mellanox ConnectX-6 network adapters through remote direct memory access (RDMA). The GA100 graphics processor is a large chip with a die area of 826 mm² and 54,200 million transistors. 2 Applicable on DGX-1, DGX-2 and DGX Station only 3 Not applicable to DGX Station 4 Next business day service may not be available in all regions. These are the links that provide access to the Mellanox ConnectX-6, NVMe storage, and CPUs.Here are details on the benchmarks.With Tensor Core acceleration of INT8 and structural sparsity in NVIDIA A100 GPU, the DGX A100 sets a new bar for inference workloads.

Additionally, sparsity is used to perform matrix compression which provides  benefits such as doubling multiply-accumulate operations. At the core, the NVIDIA DGX A100 system leverages the NVIDIA A100 GPU, designed to efficiently accelerate large complex AI workloads as well as several small workloads, including enhancements and new features for increased performance over the V100 GPU.

With MIG, the NVIDIA A100 GPU can deliver guaranteed quality of service at up to 7x higher throughput than V100 with simultaneous instances per GPU.The DGX A100 system includes two CPUs for boot, storage management, and deep learning framework coordination.

... Ubuntu Linux Host OS - See Datasheet for Details. Tensor Cores are specialized, high-performance, compute cores that perform mixed-precision matrix multiply and accumulate (MMA) calculations in a single operation, providing accelerated performance for AI workloads and HPC applications. The DGX software stack includes the following major components:Multi-system scaling of AI deep learning and HPC computational workloads requires strong communications between GPUs in multiple systems to match the significant GPU performance of each system. Download Datasheet. Enterprises, developers, data scientists, and researchers need a new platform that unifies all AI workloads, simplifying infrastructure and accelerating ROI.What's Included in NVIDIA DGX Systems SupportThe NVIDIA A100 Tensor Core GPU delivers unprecedented acceleration at every scale for AI, data analytics, and high-performance computing (HPC) to tackle the world’s toughest computing challenges. This allows the NVIDIA DGX A100 to be clustered with other nodes to run HPC and AI workloads using low latency, high bandwidth InfiniBand, or RDMA over Converged Ethernet (RoCE). With structured sparsity, each node in a sparse network performs the same amount of data fetches and computations, and results in balanced workload distribution and better utilization of compute nodes. NVIDIA DGX™ A100 is the universal system for all AI infrastructure and workloads, built on the revolutionary NVIDIA A100 Tensor Core GPU and backed by over a decade of AI innovation at NVIDIA. Their skill set includes system design and planning, data center design, workload testing, job scheduling, resource management, and ongoing optimizations. The DGX A100 GPU includes an additional dual-port ConnectX-6 card that can be used for high-speed connection to external storage.

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