Indicate exactly what the error is, if it is not obvious. The computer uses 2x Intel Xeon E5-2640 CPUs The computer uses 2x Intel Xeon E5-2640 CPUs From what I've gathered, the Quadro RTX 8000/6000, Titan RTX, and RTX 2080 Ti are the best GPUs for computer vision-DL. These parameters indirectly speak of GeForce RTX 2080 Ti and Quadro RTX 5000's performance, but for precise assessment you have to consider its benchmark and gaming test results. Using FP16 allows models to fit in the GPUs with insufficient VRAM size. Deep Learning, Video Editing, HPC, BIZON ZX5000 (AMD + 4 GPU | Water-cooled), BIZON Z5000 (Intel + 4-7 GPU | Water-cooled), BIZON Z8000 (Dual Xeon + 4-7 GPU | Water-cooled), BIZON G7000 (Intel + 10 GPU | Air-cooled), BIZON Z9000 (Intel + 10 GPU | Water-cooled), BIZON ZX9000 (AMD + 10 GPU | Water-cooled), Bizon Z–Stack (deep learning software stack), BIZON Z5000 (Intel, 4-7 GPU Liquid-Cooled Desktop), BIZON ZX5000 (AMD Threadripper, 4 GPU Liquid-Cooled Desktop), BIZON Z8000 (Dual Intel Xeon, 4-7 GPU Liquid-Cooled Desktop), BIZON Z9000 (Dual Intel Xeon, 10 GPU Liquid-Cooled Server), BIZON ZX9000 (Dual AMD EPYC, 10 GPU Liquid-Cooled Server), BIZON R1000 (Limited Edition Open-frame Desktop), BIZON ZX5000 – 3rd Gen (4 GPU | Liquid-cooled), Best GPU for deep learning in 2020: RTX 2080 Ti vs. TITAN RTX vs. RTX 6000 vs. RTX 8000 benchmarks (FP32, FP32 XLA, FP16, FP16 XLA), BIZON Z5000 workstation(Core i9 + 4 x TITAN RTX), BIZON Z8000 workstation(Dual Xeon + 4 x TITAN RTX), BIZON Z9000 server (water-cooled 10 x TITAN RTX), BIZON G2000 workstation (Core i9 + 2 x RTX 2080 Ti), BIZON G3000 workstation (Core i9 + 4 x RTX 2080 Ti), BIZON X5000 workstation (AMD Threadripper + 4 x RTX 2080 Ti), BIZON G2000 workstation (Core i9 + 2 x Quadro RTX 6000, RTX 8000), BIZON G3000 workstation (Core i9 + 4 x Quadro RTX 6000, RTX 8000), BIZON X5000 workstation (AMD Threadripper + 4 x Quadro RTX 6000, RTX 8000), BIZON G7000 server (10 x Quadro RTX 6000, RTX 8000), We are using the standard “tf_cnn_benchmarks.py” benchmark script from official TensorFlow GitHub (. Built on the 8 nm process, and based on the GA102 graphics processor, the card supports DirectX 12 Ultimate. Contact us and we'll help you design a custom system which will meet your needs. GeForce RTX 2080 Ti and Quadro RTX 5000's general performance parameters such as number of shaders, GPU core clock, manufacturing process, texturing and calculation speed. Your message has been sent. Should you still have questions on choice between GeForce RTX 2080 Ti and Quadro RTX 5000, ask them in Comments section, and we shall answer. We ran tests on the following networks: ResNet-50, ResNet-152, Inception v3, Inception v4, VGG-16, AlexNet. Your message has been sent. You must have JavaScript enabled in your browser to utilize the functionality of this website. GeForce RTX 2080 Ti and Quadro RTX 5000's general performance parameters such as number of shaders, GPU core clock, manufacturing process, texturing and calculation speed. Higher memory bandwidth (616 vs 448 GB/s), G-SYNC (removes screen tearing by telling the display when to renew the image. Our experts will respond you shortly. We compared FP16 to FP32, FP16 XLA to FP32 XLA performance and used standard batch sizes (64 in most cases).

Be aware that GeForce RTX 2080 Ti is a desktop card while Quadro RTX 5000 is a workstation one. Unsure what to get? JavaScript seems to be disabled in your browser. Workstations and Servers Non-gaming benchmarks performance of GeForce RTX 2080 Ti and Quadro RTX 5000.