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Diverse workloads require diverse architectures. oneAPI simplifies programming across CPU, GPU, FPGA, and other accelerators.

Accelerate AI pipelines by training deep neural networks, integrating trained models for inference, and running functions for data science and analyti

Use 15 tools and libraries to build and deploy high-performance, data-centric applications. The toolkit includes the Data Parallel C++ language.

Transform data into rich visuals with this toolkit that includes five rendering libraries, ray tracing, denoising, rasterizing, and 3D processing.

This library includes a set of high-speed algorithms: analysis, math, training and prediction functions, and more.

Build, analyze, optimize, and scale high-performance computing applications with vectorization, multithreading, parallelization, and more.

Simplify efforts to add parallelism to an application via a flexible runtime library that automatically maps logical parallelism onto threads.

Add high-speed, real-time video transcoding, decoding, and encoding that provides direct access to video hardware via oneAPI.

Create IoT solutions for CPUs, GPUs, FPGAs, and other accelerator architectures with this set of tools. The Intel® oneAPI Base Toolkit is required.

Reuse code across hardware targets (CPUs, GPUs, and FPGAs) with this open, standards-based C++ and SYCL alternative to proprietary compiler languages.

Speed performance of Data Parallel C++ kernels on CPUs, GPUs, and FPGAs with this standards-based library.

Design scientific, engineering, or financial applications using enhanced math routines. Optimize code for current and future Intel® CPUs and GPUs.