“Red Hat works closely with NVIDIA to help bring the full power of NVIDIA CUDA to our users. Collaborating with NVIDIA, we’ve paired the new features and performance improvements of CUDA 9.2 with new Red Hat Enterprise Linux versions, giving our expanding community of CUDA developers an easier-to-install, more tightly integrated software stack that helps deliver greater application performance for demanding AI and HPC workloads.”
Chris Wright, Vice President and Chief Technology Officer at Red Hat, Inc.
Learn fundamental principles, important use cases, performance considerations and optimization ideas using Unified Memory.
CUDA 9 is the most powerful software platform for GPU-accelerated applications. It has been built for Volta GPUs and includes faster GPU-accelerated libraries, a new programming model for flexible thread management, and improvements to the compiler and developer tools. With CUDA 9 you can speed up your applications while making them more scalable and robust.
2X - 5X
UP TO 5X FASTER LIBRARIES WITH OPTIMIZATIONS AND HEURISTICS
POWERFUL THREAD MANAGEMENT WITH COOPERATIVE GROUPS
UP TO 1.5X FASTER HPC APPS WITH VOLTA GPUs, NVLink AND HBM2
Speed up high performance computing (HPC) and deep learning apps with new GEMM kernels in cuBLAS
NVVL Accelerates Machine Learning on Video Datasets
May 2, 2018
Loading data onto GPUs for training has historically been a minor issue for most deep learning practitioners. Data read from a local spinning hard drive or NAS device would be preprocessed on the CPU, then shipped to the GPU for training.