![]() NAMD version 2.You can run your own code or one of the preloaded applications. NVIDIA GPU compute processors accelerate many common scientific codes – AMBER, NAMD and LAMMPS are just a few of the applications enjoying significant speed-ups. For any questions, please email NVIDIA GPU Accelerated Applications After registration, you will receive an email with instructions. Note 2: For running the benchmark on Nvidia GPUs, NVIDIA CUDA and cuDNN. To log in and test your code, register above. In total, AI Benchmark consists of 42 tests and 19 sections provided below. This includes NVIDIA A100 and Tesla V100S GPUs with over 5X the performance of previous GPUs. Whether you use community-built code or have in-house GPU-accelerated applications, we are offering remote benchmarking time on our latest hardware. NVLink provides 5X~10X faster transfers than PCI-Express Try today on advanced, fully integrated hardware High-bandwidth HBM2 memory provides a 3X improvement over older GPUs Faster connectivity Up to 9.7 TFLOPS double- and 19.5 TFLOPS single-precision floating-point performance Faster GPU memory Based on the “Volta” architecture, they feature: Improved compute performance per GPU The NVIDIA A100 GPUs are the latest and fastest accelerators. For many applications, a GPU-accelerated system will be 5X to 25X times faster than a CPU-only system. Unlike traditional CPUs, which focus on general-purpose software applications, NVIDIA GPUs are designed specifically to provide the highest compute performance possible.
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