The Universal System for AI Infrastructure
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. Featuring the NVIDIA A100 Tensor Core GPU, DGX A100 enables enterprises to consolidate training, inference, and analytics into a unified, easy-to-deploy AI infrastructure that includes direct access to NVIDIA AI experts.
NVIDIA DGX A100 is the universal system for all AI infrastructure, from analytics to training to inference. It sets a new bar for compute density, packing 5 petaFLOPS of AI performance into a 6U form factor, replacing legacy infrastructure silos with one platform for every AI workload.
NVIDIA DGXperts are a global team of 20,000+ AI-fluent professionals who have built a wealth of experience over the last decade to help you maximize the value of your DGX investment.
NVIDIA DGX A100 is the world’s first AI system built on the NVIDIA A100 Tensor Core GPU. Integrating eight A100 GPUs with up to 640GB of GPU memory, the system provides unprecedented acceleration and is fully optimized for NVIDIA CUDA-X™ software and the end-to-end NVIDIA data center solution stack.
NVIDIA DGX A100 features NVIDIA® ConnectX®-7 InfiniBand/Ethernet network adapters with 500 gigabytes per second (GB/s) of peak bidirectional bandwidth. This is one of the many features that make DGX A100 the foundational building block for large AI clusters such as NVIDIA DGX SuperPOD™, the enterprise blueprint for scalable AI infrastructure.
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DLRM Training
Up to 3X Higher Throughput for AI Training on Largest Models
DLRM on HugeCTR framework, precision = FP16 | 1x DGX A100 640GB batch size = 48 | 2x DGX A100 320GB batch size = 32 | 1x DGX-2 (16x V100 32GB) batch size = 32. Speedups Normalized to Number of GPUs.
RNN-T Inference: Single Stream
Up to 1.25X Higher Throughput for AI Inference
MLPerf 0.7 RNN-T measured with (1/7) MIG slices. Framework: TensorRT 7.2, dataset = LibriSpeech, precision = FP16.
Big Data Analytics Benchmark
Up to 83X Higher Throughput than CPU, 2X Higher Throughput than DGX A100 320GB
Big data analytics benchmark | 30 analytical retail queries, ETL, ML, NLP on 10TB dataset | CPU: 19x Intel Xeon Gold 6252 2.10 GHz, Hadoop | 16x DGX-1 (8x V100 32GB each), RAPIDS/Dask | 12x DGX A100 320GB and 6x DGX A100 640GB, RAPIDS/Dask/BlazingSQL. Speedups Normalized to Number of GPUs
1 8x NVIDIA A100 GPUs with up to 640 GB Total GPU Memory 12 NVLinks/GPU, 600 GB/s GPU-to-GPU Bi-directonal Bandwidth
2 6x NVIDIA NVSwitches 4.8 TB/s Bi-directional Bandwidth, 2X More than Previous Generation NVSwitch
3 10X NVIDIA CONNECTX-7 200 Gb/s NETWORK INTERFACE 500GB/s Peak Bidirectional Bandwidth
4 Dual 64-Core AMD CPUs and 2 TB System Memory 3.2X More Cores to Power the Most Intensive AI Jobs
5 30 TB Gen4 NVME SSD 50 GB/s Peak Bandwidth, 2X Faster than Gen3 NVME SSDs
Take a deep dive into the new NVIDIA DGX A100.
The NVIDIA A100 Tensor Core GPU delivers unprecedented acceleration for AI, data analytics, and high-performance computing (HPC) to tackle the world’s toughest computing challenges. With third-generation NVIDIA Tensor Cores providing a huge performance boost, the A100 GPU can efficiently scale up to the thousands or, with Multi-Instance GPU, be allocated as seven smaller, dedicated instances to accelerate workloads of all sizes.
With MIG, the eight A100 GPUs in DGX A100 can be configured into as many as 56 GPU instances, each fully isolated with their own high-bandwidth memory, cache, and compute cores. This allows administrators to right-size GPUs with guaranteed quality of service (QoS) for multiple workloads.
The third generation of NVIDIA® NVLink™ in DGX A100 doubles the GPU-to-GPU direct bandwidth to 600 gigabytes per second (GB/s), almost 10X higher than PCIe Gen4. DGX A100 also features next-generation NVIDIA NVSwitch™, which is 2X times faster than the previous generation.
DGX A100 features the NVIDIA ConnectX-7 InfiniBand and VPI (Infiniband or Ethernet) adapters, each running at 200 gigabits per second (Gb/s) to create a high-speed fabric for large-scale AI workloads. DGX A100 systems are also available with ConnectX-6 adapters.
DGX A100 integrates a tested and optimized DGX software stack, including an AI-tuned base operating system, all necessary system software, and GPU-accelerated applications, pre-trained models, and more from NGC™.
DGX A100 delivers the most robust security posture for AI deployments, with a multi-layered approach stretching across the baseboard management controller (BMC), CPU board, GPU board, self-encrypted drives, and secure boot.
Learn about enterprise-grade support for NVIDIA DGX systems.
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