The NVIDIA A800 is a high-performance GPU designed for workstations and AI enterprise applications. It is based on the Ampere architecture, which is known for its efficiency and advanced computational capabilities. This GPU is ideal for tasks that require heavy processing power, such as deep learning, AI training, and complex simulations. The A800 features 40GB of HBM2 memory with a 512-bit memory interface, allowing for fast data transfer and efficient handling of large datasets. It also includes 6912 CUDA cores and 432 Tensor Cores, which contribute to its impressive performance metrics. The GPU supports PCIe 4.0 x16 connectivity, ensuring high-speed communication with the motherboard. With a power consumption of 240W, it is designed to be energy-efficient while delivering robust performance.
The A800 comes with a 3-year subscription license for NVIDIA AI Enterprise, which provides access to a suite of AI and data science tools optimized for enterprise environments. This makes it an excellent choice for businesses and organizations looking to leverage AI technologies in their operations. The GPU requires a supplementary power supply with a PCIe 12 +1 x 4-pin 12V HPWR (CEM5) connector. It occupies two slots on the motherboard and has dimensions of 10.6 x 4.4 inches (266.7 x 11.8 mm). While the GPU itself does not have video output capabilities, it can be paired with a companion GPU such as NVLINK to enable video output.
Brand: NVIDIA
Model: A800
Specifications: 40GB HBM2 memory, 512-bit memory interface, PCIe 4.0 x16, 6912 CUDA cores, 432 Tensor Cores, 19.5 TFLOPS single precision, 9.7 TFLOPS double precision, 623.8 TFLOPS tensor performance
Features: Ampere architecture, dual-slot design, NVIDIA AI Enterprise 3-year license included, compatible with NVLINK for video output
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