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. Download the NVIDIA DGX A100 data sheet.
And third-generation Tensor Cores accelerate every precision for diverse workloads, speeding time to insight and time to market.NVIDIA DGX™ A100 is the universal system for all AI workloads, offering unprecedented compute density, performance, and flexibility in a 5 petaFLOPS AI system. 1TB. 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. Download DGX A100 Data Sheet.
NVIDIA DGX A100 Onsite Spares Service Program Datasheet NVIDIA DGX A100 Media Retention Datasheet. This latest generation in the DGX A100 uses larger matrix sizes, improving efficiency and providing twice the performance of the V100 Tensor Cores along with improved performance for INT4 and binary data types.
Every business needs to transform using artificial intelligence (AI), not only to survive, but to thrive in challenging times. Customer Testimonials. NVIDIA DGX A100 features the world’s most advanced accelerator, the NVIDIA A100 Tensor Core GPU, enabling enterprises to consolidate training, inference, and analytics into a unified, easy-to-deploy AI infrastructure that includes direct access to NVIDIA AI experts.Get your project rolling with quick answers from technical sales to address your unique challenges. 8x NVIDIA A100 Tensor Core 40GB (Total 320GB, 5 petaFLOPS AI) CPU. This drives up complexity, increases cost, and limits scale.Each DGX A100 system comes with dual 1.92 TB NVMe M.2 boot OS SSDs configured in a RAID 1 volume, and four 3.84 TB PCIe gen4 NVMe U.2 cache SSDs configured in a RAID 0 volume. The old approach created complexity, drove up costs, constrained speed of scale, and was not ready for modern AI. This allows multiple users to share the same GPU and run all instances simultaneously, maximizing GPU efficiency.The NVIDIA A100 GPU includes the following new features to further accelerate AI workload and HPC application performance: Training workloads commonly involve reading the same datasets many times to improve accuracy.
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. 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. Using the MIG capability in A100 GPU, you can assign resources that are right-sized for specific workloads.The Mellanox ConnectX-6 I/O cards offer flexible connectivity as they can be configured as HDR Infiniband or 200-Gb/s Ethernet. The fat tree topology ensures the highest communication bisection bandwidth and lowest latency for all-to-all or all-gather type collectives that are common in computational and deep learning applications. The result is accelerated Tensor Core computation across a variety of AI networks, and increased throughput of FP training as well as inference training. The ConnectX-6 VPI cards in the DGX A100 server provide the following:The second-generation NVSwitch is two times faster than the previous version, which was first introduced in NVIDIA DGX-2 system.
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