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It even outperforms the RTX 3090 with its 10752 CUDA and 336 third-generation Tensor Cores and the double amount of GPU memory: 48 GB GDDR6 ECC. It features the same GPU processor (GA-102) as the RTX 3090 but with all processor cores enabled. The NVIDIA RTX A6000 is the Ampere based refresh of the Quadro RTX 6000. Which works with all popular deep learning frameworks NVIDIA RTX A6000 - even more Ampere powerĪlternatively, the AIME T500 is available with up to three NVIDIA RTX A6000 GPUs. Supported by NVIDIA’s CUDA-X AI SDK, including cuDNN, TensorRT, and more than 15 other libraries. With the AIME T500 you can combine the power of up to 3 of those adding up to more than 3000 Trillion Tensor FLOPS of AI performance.
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The AIME T500 relies on NVIDIA RTX 3090 GPUs, the best price performance GPUs for Deep Learning.Įach NVIDIA RTX 3090 trains AI models with 10496 CUDA cores and 328 tensor cores of the third generation and 24 GB of ultra-fast GDDR6X memory. 2-3 times NVIDIA RTX 3090 - Ampere powerĭue to the sophisticated air cooling concept a high packing of GPUs is possible: With the AIME T500 up to 3 high-end GPUs can be packed into a system with the dimensions of a standard midi tower.
#Multi gpu workstation full#
This prevents overheating of the GPU array and maintane high performance under full load in 24/7 scenarios. The CPU is cooled by an closed AIO water loop to reduce its impact as additional heat source.ĬPU and GPUs directly exhausts the hot air outside of the case to prevent building up heat inside the case. The case is designed for maximum air intake supported by powerfull and temperature controlled high air flow fans. The elaborated cooling system of the AIME T500 covers the CPU with liquid cooling and the GPUs with a multi GPU compatible air cooling concept of turbo blower style fan GPUs. AIME T500 - Deep Learning Performance Workstation