Tools for Processing, Profiling, Inferencing, Monitoring, and More

Use this core set of tools and libraries for developing high-performance, data-centric applications across diverse architectures. The toolkit includes Intel® VTune™ Profiler to analyze application performance and identify the most time-consuming parts of GPU compute and media operation.
Improve deep learning application and framework performance on CPUs and GPUs with highly optimized implementations of deep learning building blocks.
Optimize models trained using popular frameworks like TensorFlow, PyTorch, and Caffe*, and deploy across a mix of Intel hardware and environments.
Accelerate data science and AI pipelines—from preprocessing through machine learning—and provide interoperability for efficient model development.
Accelerate data science and AI pipelines—from preprocessing through machine learning—and provide interoperability for efficient model development.
Intel® XPUM is a free and open source solution for local and remote monitoring and managing Intel® Data Center GPUs. It is designed to simplify administration, maximize reliability and uptime, and improve use.
Deliver fast, high-quality, real-time video decoding, encoding, transcoding, and processing with a single API that supports CPUs, GPUs, and other accelerators.
Create complex media analytics pipelines for the cloud or at the edge using this open source streaming framework based on GStreamer.
Use this set of open source software stacks (with end-to-end samples) for media, analytics, graphics, and immersive media that is optimized for cloud-native deployment and advanced video distribution and processing.
Use this open source, multimedia framework to create media pipelines from simple to complete workflows.
Process video and audio files and streams using this open source suite of libraries.