![]() ![]() In parallel to oneVPL accelerating decoding and encoding of media streams, oneDNN (oneAPI Deep Neural Network library) delivers AI optimized kernels enabled to accelerate inference modes in TensorFlow or PyTorch frameworks, or with the OpenVINO model optimizer and inference engine to further accelerate inference and speed customer deployment of their workloads. Media distributors can choose from the two leading media frameworks FFMPEG or GStreamer, both enabled for acceleration with oneVPL on Intel CPUs and GPUs. Media streaming and delivery software stacks lean on Intel ® oneVPL to decode and encode acceleration for all the major codecs including AV1. AI models can be applied to the decoded streams utilizing Intel ® Data Center GPU Flex Series’ X e-cores. ![]() It supports 8 simultaneous 4K streams or more than 30 1080p streams per card. ![]() It delivers the power of Tensor Cores to HPC applications, accelerating matrix math in full FP64 precision. deep learning and AI workloads at FP64 (double precision), FP32 (single. Graphics Processor GP104 Cores 1792 TMUs 112 ROPs 64 Memory Size 8 GB Memory Type GDDR5 Bus Width 256 bit GPU I/O Top Recommended Gaming Resolutions: 1920x1080 2560x1440 3840x2160 The Quadro P4000 was an enthusiast-class professional graphics card by NVIDIA, launched on February 6th, 2017. We refer to this new capability as Double-Precision Tensor Cores. The GPU (Graphics Processing Unit) is the central component of a graphics card. Targeting data center cloud gaming, media streaming and video analytics applications, Intel ® Data Center GPU Flex Series provide hardware accelerated AV1 encoder, delivering a 30% bit-rate improvement without compromising on quality. As a result, the A100 crunches FP64 math faster than other chips with less work, saving not only time and power but precious memory and I/O bandwidth as well. ![]()
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