Enable remote platform management to configure, monitor, and manage computers with Intel® vPro™ technology.
Use this SDK to maximize hardware capabilities and developer projects more quickly. For data scientists, system designers, and application and algorithm developers.
Builds on top of the W3C standard to accelerate development of real-time communications (RTC).
Create compelling cross-platform, context-aware experiences. Understand the context of any action or event. Build the ability to understand user preferences and anticipate behavior.
Boost big data analytics and machine learning performance with this easy-to-use library.
Develop applications and solutions that emulate human vision. Based on convolutional neural networks (CNN), this toolkit extends workloads across Intel® hardware and maximizes performance.
Run your sensitive code in hardware that is isolated from the main operating system environment.
Implement applications onto FPGAs easily, and write hardware-accelerated kernel functions in OpenCL™ code.
Get this library of ready-to-use, royalty-free software functions that are highly optimized using Intel® Streaming SIMD Extensions and Intel® Advanced Vector Extensions instruction sets.
Accelerate math processing routines to increase application performance and reduce development time.
Develop media applications on Windows* and embedded Linux* with this cross-platform API that includes video editing and processing, media conversion, playback, and video conferencing.
Make applications perform better on Intel®-based architecture clusters, and implement the high-performance MPI version 3.0 specification on multiple fabrics.
Build, debug, and analyze OpenCL™ applications with support for offloading compute-intensive parallel workloads.
Ready-to-use, royalty-free software functions that are highly optimized using Intel® Streaming SIMD Extensions and Intel® Advanced Vector Extensions instruction sets.
Enhance application security and protect select code and data from disclosure or modification.
This library provides a wide range of parallel programming features for task-based parallelism without requiring special compiler support.
Get this Linux* library for low-speed I/O communication in C with bindings for C++, Python*, Node.js*, and Java*.