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To be able to get the most out of artificial intelligence, extensive computing power is a must and one system that can meet the challenge is the NVIDIA® DGX™ based on the high performance NVIDIA GPU platform. Best of all, NVIDIA DGX offers companies GPU-optimised software and simplified management all in one compact system.
NVIDIA DGX™ A100 is the universal system for all AI workloads, delivering unprecedented computing density, performance and flexibility in the world’s first 5 petaFLOPS AI system. NVIDIA DGX A100 features the world’s most advanced accelerator, the NVIDIA A100 Tensor Core GPU, which enables organisations to consolidate training, inference and analytics into a unified, easy-to-deploy AI infrastructure with direct access to NVIDIA AI experts.
NVIDIA® DGX Station A100 is the compact workstation-sized system delivering the latest technologies, rapid deployment and incredible local computing power. To help you get the job done, a whisper-quiet cooling system has been integrated and a host of tools are available to accelerate development.
There is one processor that is particularly suitable for AI and that’s the NVIDIA® A100 that delivers unprecedented acceleration at any scale in deep learning training and inference, data analytics and HPC.
With third-generation Tensor compute engines, the new Ampere architecture enables a 20x performance increase in the AI environment, while the new Multi-Instance GPU (MIG) feature enables and optimises workload distribution across up to seven instances, allowing data science teams to work as efficiently as possible.
The compact form factor NVIDIA® T4 is a real all-rounder. This accelerator delivers very high density and flexibility and is optimised for deep learning inference meaning it perfectly complements deep learning training systems.
In terms of graphics, the T4 delivers a native user experience for virtual office desktops as well as for virtual workstations in the mid-range CAD segment.
The NVIDIA® A40 is the best choice for virtual workstations. This accelerator delivers enough power for highly demanding applications such as CAD, simulations, VR and even enables real-time rendering for photo-realistic results.
Workload
| Description | NVIDIA A100 SXM4 | NVIDIA A100 PCIe | NVIDIA T4 | NVIDIA A40 |
| World's Most Powerful Data Center GPU | Versatile Data Center GPU for Mainstream Computing | World's Most Powerful Data Center GPU for Visual Computing | ||
Deep Learning Training | For the absolute fastest model training time | 8-16 GPUs | 4-8 GPUs |
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Deep Learning Inference | For batch and real-time inference | 1 GPU w/ MIG | 1 GPU w/ MIG | 1 GPU |
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HPC / AI | For scientific computing centers and higher ed and research institutions | 4 GPUs with MIG for | 1-4 GPUs with MIG for |
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Render Farms | For batch and real-time rendering |
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| 4-8 GPUs |
Graphics | For the best graphics performance on professional virtual workstations |
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| 2–8 GPUs for mid-range | 4-8 GPUs for highest |
Enterprise Acceleration | Mixed Workloads – Graphics, ML, DL, analytics, training, inference | 1-4 with MIG for compute intensive | 1-4 GPUs with MIG for | 4-8 GPUs for balanced | 2-4 GPUs for graphics |
Edge Acceleration | Edge solutions with differing use cases and location |
| 1-2 GPU with MIG | 1-8 GPUs for inference | 2-4 GPUs for graphics |
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