The NVIDIA DGX A100 is revolutionizing various industries by offering unparalleled AI performance and versatility. From accelerating medical research with advanced machine learning models to enhancing financial forecasting with deep learning algorithms, the DGX A100 provides the computational power needed to drive significant advancements. Its 8 NVIDIA A100 Tensor Core GPUs, extensive memory, and high-speed networking capabilities enable businesses across healthcare, finance, manufacturing, and more to deploy sophisticated AI solutions, streamline operations, and achieve better outcomes faster and more efficiently.
| Component | Specification |
|---|---|
| CPU | 1x AMD EPYC 7742, 64 cores, 2.25 GHz (base) to 3.4 GHz (max boost) |
| GPU | 4x NVIDIA A100 Tensor Core GPUs, 40 GB each (160 GB total), with MIG support |
| System Memory | 512 GB DDR4 RAM (8x 64 GB modules) |
| Data Storage | 7.68 TB NVMe U.2 drive for cache/data storage |
| OS Storage | 1.92 TB NVMe M.2 drive for the operating system |
| Power Supply | 1500W; 100-115VAC/15A, 115-120VAC/12A, or 200-240VAC/10A at 50/60Hz |
| Dimensions | Height: 26.1 in (639 mm), Width: 10.1 in (256 mm), Depth: 20.4 in (518 mm) |
| Weight | 91 lbs (43.1 kg) |
| Operating Temperature | 10°C to 35°C (50°F to 95°F) |
| Non-Operating Temperature | 5°C to 40°C (41°F to 104°F) |
| Humidity | 10% to 80% (non-condensing) for both operating and non-operating conditions |
| Networking | Dual 10 Gb Ethernet ports |
| Cooling | Air-cooled system |
| Software | DGX OS with pre-installed software for deep learning frameworks, supports NVIDIA Docker |
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