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To learn more about GPU-accelerated video encode/decode, see NVIDIA’s Video Codec SDK. NVIDIA has announced its new flagship in the scientific computing field, the Tesla K80, powered by two brand new GK210 GPUs (Kepler architecture). For complete hardware details, reference NVIDIA’s encoder/decoder support matrix. * above 48 KB requires dynamic shared memory Hardware-accelerated video encoding and decodingĪll NVIDIA “Volta” GPUs include one or more hardware units for video encoding and decoding (NVENC / NVDEC). ^ For a complete listing of Compute Capabilities, reference the NVIDIA CUDA Documentation * theoretical peak performance with GPU Boost enabled Comparison between “Kepler”, “Pascal”, and “Volta” GPU Architectures FeatureĬonfigurable up to 96KB remainder for L1 Cache Theoretical transfer bandwidth (bidirectional) To learn more about these products, or to find out how best to leverage their capabilities, please speak with an HPC expert. The table below summarizes the features of the available Tesla Volta GPU Accelerators.
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Combined L1 Cache and Shared Memory provides additional flexibility and higher performance than Pascal.Native ECC Memory detects and corrects memory errors without any capacity or performance overhead.Enhanced Unified Memory allows GPU applications to directly access the memory of all GPUs as well as all of system memory (up to 512TB).High-bandwidth HBM2 memory provides a 3X improvement in memory performance compared to previous-generation GPUs. Factoring in GPU Boost (more on that later), Tesla K80 is rated for a maximum double precision (FP64) throughput of 2.9 TFLOPS, or a single precision (FP32) throughput of 8.7 TFLOPS.NVLink enables an 8~10X increase in bandwidth between the Tesla GPUs and from GPUs to supported system CPUs (compared with PCI-E). Compare NVIDIA Tesla K80 vs NVIDIA Tesla M40 specs, performance, and prices.Simultaneous execution of FP32 and INT32 operations improves the overall computational throughput of the GPU.Deep Learning inference performance with up to 62.8 TeraOPS INT8 8-bit integer performance.Deep Learning training performance with up to 130 TFLOPS FP16 half-precision floating-point performance.Exceptional HPC performance with up to 8.2 TFLOPS double- and 16.4 TFLOPS single-precision floating-point performance.Important features available in the “Volta” GPU architecture include: You may wish to browse our Tesla V100 Price Analysis and Tesla V100 GPU Review for more extended discussion. This page is intended to be a fast and easy reference of key specs for these GPUs. Note: these have since been superseded by the NVIDIA Ampere GPU architecture. Volta GPUs began shipping in September 2017 and were updated to 32GB of memory in March 2018 Tesla V100S was released in late 2019. “Volta” GPUs improve upon the previous-generation “Pascal” architecture. This article provides in-depth details of the NVIDIA Tesla V-series GPU accelerators (codenamed “Volta”).