2026.0

Get Started with the Intel® oneAPI Toolkit for Linux* OS

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ID 916956
Date 4/28/2026
Public
Document Table of Contents
Document Table of Contents x
Get Started with the Intel® oneAPI Toolkit for Linux*
Get Started with the Intel® oneAPI Toolkit for Linux* x
Choose Your Bundle Additional Resources Configure Your CPU or GPU System Configure Your FPGA System Build and Run a Sample Using the Command Line Build and Run a Sample Using Eclipse* Build and Run a Sample Using Visual Studio Code Using Containers Using Cloud CI Systems Troubleshooting Next Steps Notices and Disclaimers
Build and Run a Sample Using the Command Line x
Next Steps
Next Steps x
SSH: Password-less Access to Remote Linux* Target SSH: Running Applications Built with Eclipse*
Build and Run a Sample Using Eclipse* x
Next Steps
Next Steps x
SSH: Password-less Access to Remote Linux* Target SSH: Running Applications Built with Eclipse*
Build and Run a Sample Using Visual Studio Code x
Next Steps
Next Steps x
SSH: Password-less Access to Remote Linux* Target SSH: Running Applications Built with Eclipse*
Using Containers x
Using Containers with the Command Line Using Containers with Eclipse*
Next Steps x
SSH: Password-less Access to Remote Linux* Target SSH: Running Applications Built with Eclipse*
Get Started with the Intel® oneAPI Toolkit for Linux*

Get Started with the Intel® oneAPI Toolkit for Linux*

NOTE:
Starting with the 2026.0 release, Intel® oneAPI Toolkit now combines the Intel® oneAPI Base Toolkit and Intel® oneAPI HPC Toolkit toolkits.

The Intel® oneAPI Toolkit (oneAPI Kit) is a core set of tools and libraries for developing high-performance, data-centric applications across diverse architectures. It features an industry-leading C++ compiler with SYCL* support for heterogeneous computing.

Choose Your Bundle

Prerequisites: Install Intel® oneAPI Toolkit.

You can download smaller bundles for specific developer use cases:

  Intel® oneAPI Toolkit Intel® Deep Learning Essentials
Use Case Accelerate data-parallel workloads like HPC, AI, or simulation on Intel hardware, migrate CUDA code to SYCL, and analyze performance using Intel's profiling tools. Use optimized frameworks like TensorFlow* and PyTorch* to train and deploy deep learning models on Intel CPUs and GPUs.
Disk Space ~ 3-24 GB ~ 1-2 GB
Included Components
  • Intel® oneAPI DPC++/C++ Compiler
  • Intel® Fortran Compiler
  • Intel® oneAPI Math Kernel Library (oneMKL)
  • Intel® oneAPI Deep Neural Networks Library (oneDNN)
  • Intel® MPI Library
  • Intel® Integrated Performance Primitives (Intel® IPP)
  • Intel® Cryptography Primitives Library
  • Intel® oneAPI Threading Building Blocks (oneTBB)
  • Intel® oneAPI DPC++ Library (oneDPL)
  • Intel® oneAPI Collective Communications Library (oneCCL)
  • Intel® VTune™ Profiler
  • Intel® Distribution for GDB*

Available as a separate download:

  • Intel® Advisor
  • Intel® oneAPI Data Analytics Library (oneDAL)
  • Intel® oneAPI DPC++/C++ Compiler
  • Intel® oneAPI DPC++ Library
  • Intel® oneAPI Math Kernel Library (oneMKL)
  • Intel® oneAPI Collective Communications Library (oneCCL)

Available as a separate download:

  • Intel® oneAPI Deep Neural Networks Library (oneDNN)
Download

Intel® oneAPI Toolkit

Intel® Deep Learning Essentials

Run a sample project to quickly verify your installation and explore key concepts of the oneAPI Kit:

  1. Configure your system. Depending on your development environment and hardware, some additional configurations may be required, such as GPU drivers, CMake*, or Microsoft Visual Studio* plugins.
  2. Build and run a sample using one of the following methods:

After running a sample, learn more about the Intel® oneAPI Toolkit and samples in the Next Steps section.

NOTE:
An offline version of this guide is available at the Download PDF link at the top-right of this page.
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