Multi gpu workstation tower full#

A high throughput and fast access times to the data are essential for fast turn around times. Up to 8 TB High-Speed SSD StorageДeep Learning is most often linked to high amount of data to be processed and stored. The available 88 PCI 4.0 lanes of the AMD Threadripper CPU allow highest interconnect and data transfer rates between the CPU and the GPUs.ДЄ large amount of available CPU cores can improve the performance dramatically in case the CPU is used for prepossessing and delivering of data to optimal feed the GPUs with workloads.

The high-end AMD Threadripper CPU designed for workstations and servers delivers up to 64 cores with a total of 128 threads per CPU with an unbeaten price performance ratio. The NVIDIA RTX A6000 is currently the fastest available workstation GPU, best suited for the most compute and memory demanding tasks.ДЄn even more powerfull workstation is only available in the form of the AIME T504, with 4x NVIDIA RTX 3090 or 4x NVIDIA RTX A6000. 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 powerДЄlternatively, the AIME T500 is available with up to three NVIDIA RTX A6000 GPUs. Supported by NVIDIAвЂ™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. The AIME T500 relies on NVIDIA RTX 3090 GPUs, the best price performance GPUs for Deep Learning.Д®ach 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 powerДue 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 tower 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.Д¬PU 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