Intel® oneAPI Toolkit Release Notes

Where to Find the Release

Intel® oneAPI Base Toolkit and Intel® oneAPI HPC Toolkit have now been unified into Intel® oneAPI Toolkit with the 2026.0 Release. You can get the latest version of Intel® oneAPI Toolkit from here.

If you have Priority Support for Intel® oneAPI Toolkit or any other oneAPI toolkit (i.e. an unexpired free license or a paid license with active support at the time of the build date for this product release), you can download the installer by logging in to Intel® Registration Center and selecting the appropriate product. You may need to create an account and/or register your product. For additional information, please see: Product Registration and Sign-Up FAQ

Customers of Intel® oneAPI Base Toolkit and Intel® oneAPI HPC Toolkit will be automatically transitioned and upgraded to Intel® oneAPI Toolkit in their Intel® Registration Center accounts and can download older versions of the Base kit and HPC kit from their accounts as well.

Intel® oneAPI Toolkit Component Versions

Please visit Intel® oneAPI Toolkit and Component Versioning Schema for semantic versioning schema detail. 

The following table contains a mapping of component versions in each Intel® oneAPI Toolkit release

Note: Intel® Advisor has been removed from the Intel® oneAPI toolkit and is now available as a stand-alone download here. This release includes security and functional bug fixes. Starting with the 2026.0 release, Advisor will be decoupled from oneAPI and delivered as a stand-alone product, aligned with oneAPI release schedules.

New in this Release

2026.0

Highlights

• With the 2026.0 release, Intel® oneAPI Toolkit brings together the former Intel® oneAPI Base Toolkit and Intel® oneAPI HPC Toolkit, providing the same trusted compilers, libraries, and analysis tools developers rely on today, now delivered as a single toolkit for building performance‑tuned AI, client, edge, and HPC applications.
• Intel® oneAPI Toolkit continues to enable cross‑architecture CPU, GPU, and accelerator development, and in 2026.0 adds support for Clearwater Forest and Intel® Core™ Series 3 processor while building on optimizations for Arrow Lake and Intel® Core™ Ultra systems and strengthening Intel® Arc™ B‑series GPU development (including Intel® Arc™ Pro B70 Graphics) through improved code generation, runtime behavior, and profiling.

• The Intel® oneAPI DPC++/C++ Compiler 2026.0 helps developers deliver higher‑performance heterogeneous C++/SYCL* applications faster by boosting execution efficiency through improved code generation (including better branch prediction) on Intel® Core™ Ultra and Arrow Lake platforms, providing strong readiness for Clearwater Forest and Intel® Core™ Series 3 processor, cutting iteration time with quicker AOT linking, making SYCL code more expressive and portable with enhanced free‑function kernels, device‑type queries, and expanded SYCL Graph execution using work‑group scratch memory, and making tuning and debugging more targeted with function‑scoped optimization and offload reporting, loop‑optimization controls, and more robust host‑and‑offload execution behavior.

• The Intel® Fortran Compiler 2026.0 is ready to boost performance on Clearwater Forest processors and modernizes Fortran development by adopting the standard dispatch construct for cleaner, more portable offload code, improving numerical output predictability with leading‑zero editing, enabling more scalable parallel coordination with PUT with NOTIFY for coarrays, making code clearer with conditional expressions, producing higher‑quality generated code via extended prefer_type IR support, and reducing manual data‑mapping work for heterogeneous applications with automap support for allocatables on declare target enter.

• Intel® oneAPI Math Kernel Library and Intel® Integrated Performance Primitives expand optimized coverage and scalability for core math, signal‑processing, and data‑processing kernels in 2026.0, improving out‑of‑the‑box performance for simulation, rendering, media, and analytics workloads as CPU core counts and memory hierarchies continue to grow.

• Intel® Integrated Performance Primitives in 2026.0 further enhance performance for signal processing, media, and data‑processing workloads, including enhanced Intel® Cryptography Primitives Library which accelerates security‑sensitive and data‑intensive applications.

• Intel® oneAPI Deep Neural Network Library and Intel® oneAPI Data Analytics Library strengthen support for machine learning, deep learning, and data‑centric workloads, enabling more efficient training, inference, and preprocessing pipelines that integrate cleanly with modern AI and analytics frameworks on CPUs and GPUs.
• Intel® oneAPI Threading Building Blocks and Intel® oneAPI DPC++ Library enhance task‑based parallelism and standard‑based parallel algorithms, helping client, edge, and workstation applications scale efficiently across cores without manual thread management.
• As applications extend beyond a single system, the Intel® MPI Library and Intel® oneAPI Collective Communications Library provide scalable communication and coordination for multi‑node HPC simulations, distributed AI training, and large‑scale analytics workloads.
• Intel® VTune™ Profiler in 2026.0 delivers deeper, more actionable insight into compute performance, memory behavior, vectorization, threading, GPU execution, and communication, enabling developers to identify and tune performance issues across client, edge, and high‑performance environments using a unified analysis approach.

Intel® oneAPI DPC++/C++ Compiler

• Faster build and iteration cycles through runtime performance improvements, including quicker AOT linking, helping developers scale large applications with less compile and link overhead.

• More performance on next‑generation Intel® platforms with improved branch prediction code generation for Intel® Core™ Ultra Series 3 processor and Arrow Lake CPUs, delivering higher execution efficiency without requiring code changes.

• More expressive and portable SYCL development with enhanced free function kernel support, new device‑type query extensions, and expanded SYCL Graph capabilities using work‑group scratch memory—enabling cleaner code and more efficient execution across devices.

• Clearer insight into compiler optimizations and offload behavior with function‑scoped optimization reporting, plus new reports for reduction optimizations and ND‑range partitioning, making performance tuning more targeted and actionable.

• Greater control during performance tuning and debugging through new compiler options that allow developers to explicitly enable or disable loop optimizations when isolating issues or experimenting with transformations.

• More predictable and robust host and offload execution with added fallback controls for need_device_ptr handling and new scan support for scalars in non‑SIMD host parallel loops, improving correctness across heterogeneous workloads.

• A cleaner, more future‑ready programming model with removal of deprecated target variant dispatch and subdevice support, simplifying development and aligning with modern SYCL and offload best practices.

Intel® Fortran Compiler

• A cleaner and more future‑proof parallel programming model by removing the legacy target variant dispatch construct in favor of the standard dispatch construct, simplifying offload code and improving long‑term portability and maintainability.

• More precise and standards‑compliant formatted output with support for leading‑zero editing, helping developers produce clearer, more predictable numeric output for scientific, engineering, and reporting workloads.

• Improved synchronization and coordination in parallel programs with support for PUT with NOTIFY, enabling more efficient and expressive communication patterns in distributed and coarray‑based applications.

• More expressive and readable Fortran code through support for conditional expressions, allowing developers to write clearer logic with fewer branches while maintaining performance.

• Stronger optimization and transformation opportunities inside the compiler with extended prefer_type IR support for implementation attributes, enabling better internal analysis and higher‑quality generated code for modern Fortran workloads.

• Easier and more scalable offload of dynamic data structures with support for the automap modifier on declare target enter for allocatables, reducing manual data‑mapping effort and helping developers write more maintainable heterogeneous Fortran applications.

Intel® oneAPI DPC++ Library

• Delivered significant performance improvements to the radix sort algorithm, enabling faster data processing workflows.
• Introduced an experimental radix sort kernel template algorithm featuring a cutting-edge SYCL implementation of the Onesweep algorithm, available in the oneapi::dpl::experimental::kt::gpu namespace for early adopters.

Intel® Distribution for GDB*

• Delivers the latest debugging capabilities and long‑term stability by rebasing to the upstream GDB 17.1 release
• Improves developer productivity and debug fidelity through expanded DWARF support, including embedded source code and new documentation for loading debug symbols for the Kobuk GFX driver, enabling more accurate, self‑contained debugging across complex toolchains and environments (DWARF Issue: DWARF and source text embedding)
• New Platform support for Clearwater Forest (CWF) and Wildcat Lake (WCL) 

Intel® VTune™ Profiler

• Added support for Wildcat Lake and Clearwater Forest processors, along with Python 3.13 and 3.14
• Improved XPU Offload analysis finalization time with the ability to select Instrumentation and Tracing Technology (ITT) top domains from both the GUI and CLI, and introduced a unified GPU / Media Hotspots analysis providing integrated performance insights across CPU, GPU, and NPU workloads
• Microsoft Visual Studio* 2019 is no longer supported; users should migrate to a supported Microsoft Visual Studio*version

Intel® oneAPI Math Kernel Library

• Improved the performance of MCG59 engine for Random Number Generation on Intel® Xeon® 6 processor with P-cores.
• Improved the performance of oneMKL Pardiso in the Conditional Numerical Reproducibility mode. It benefits HPC customers that require the results to be bitwise reproducible from run to run.
• Introduced new Intel® Advanced Vector Extensions 10 (Intel® AVX10) and Intel® Advanced Performance Extensions (Intel® APX) optimizations as a preview code-path. Use the environment variable MKL_ENABLE_INSTRUCTIONS=AVX10 or the related API to enable it. 

Intel® oneAPI Threading Building Blocks

• Delivers immediate performance gains on modern systems through internal algorithmic improvements and scheduler enhancements, including over 3× scalability gains for concurrent ordered containers on high‑core‑count platforms—allowing teams to unlock more throughput from existing hardware without changing application design.
• Simplifies optimization for complex platforms by introducing new and extended APIs that expose NUMA awareness and hybrid‑core constraints directly to the runtime, enabling oneTBB to place tasks closer to memory and on the most suitable core types for better efficiency, predictability, and scalability.
• Improves responsiveness and efficiency through new task‑level synchronization options, resource‑aware flow graph execution, and configurable runtime blocking behavior, allowing applications to reduce latency for critical work, protect shared resources, and minimize idle CPU usage on server systems.

Intel® Integrated Performance Primitives Library

• Enhanced Performance: Applications using image processing and computer vision functions will see improved performance with AVX10.2 ISA support and optimized IPP functions on AVX512 hardware.
• Large Dataset Support: Signal Processing domain now supports 64-bit array sizes, enabling processing of very large datasets that exceed previous size limitations in applications.
• Expanded API Library: 130+ new Signal Processing APIs are now available, providing additional functionality and options for implementing signal processing features in projects.

Intel® Cryptography Primitives Library

• Future-Proof Security: Applications gain protection against quantum computing threats with new ML-DSA and LMS post-quantum algorithms for key generation and digital signatures, ensuring long-term cryptographic security.
• Enhanced Cryptographic Standards: Support for PKCS#5 and new DRBG algorithms provides additional industry-standard cryptographic options, improving compliance and security implementation flexibility.
• Optimized Performance: SHA3 and ML-KEM algorithms deliver improved performance on Intell® Xeonl® 6 with P-cores, reducing cryptographic processing overhead and enhancing application responsiveness.

Intel® oneAPI Collective Communications Library

• C API set by default and functional out-of-box support for Intel® Arc™ Pro B60/B70 Graphics delivers optimized scale up/out performance, reducing setup time and improving computational efficiency for high-performance workloads.
• Intel® Implicit SPMD Program Compiler (Intel® ISPC) support for Allgather, Allreduce, Alltoall, ReduceScatter, Broadcast, and Group APIs plus enabled user-defined reduction operations accelerate distributed computing and complex multi-node processing tasks.
• Enhanced profiling tools with imbalance tracing, new memory management APIs, and SYCL graph support provide developers better visibility and control, reducing debugging time and optimizing application performance.

Intel® oneAPI Data Analytics Library

• Faster adoption of scikit-learn v1.9 features with preliminary Intel® Extension for Scikit-learn* support.
• Broader compatibility through expanded Array API standard alignment.
• Leaner installations with optional GPU components for CPU-optimized workflows.

Intel® oneAPI Deep Neural Network Library

• Optimized support for the latest Intel® processors and GPUs, delivering faster model training and inference.
• Reduced memory bottlenecks through host-side scalar memory management, optimizing critical matrix multiplication and convolution operations.
• Added support for emerging floating-point formats (MXFP8, NVFP4), enabling users to leverage state-of-the-art quantization methods that deliver faster training and inference while maintaining accuracy.

Intel® MPI Library

• MPI-5.0 standard technical preview with libfabric v2.4.0 integration, extended compatibility for Intel's latest compilers while maintaining backward compatibility, and updated IMB 2021.11 with bug fixes and improved compiler compatibility - delivering faster, more reliable parallel computing.
• Extended thread-split mode support for all communication routines and significantly improved job start latency for single-node configurations, enabling faster application startup and more efficient parallel processing workflows.
• Added support for Clearwater Forest processors and technical preview of single node Intel® Arc™ B support, providing broader hardware options and enhanced performance capabilities for high-performance computing workloads across diverse platforms.

Known Issues and Limitations

• None

Deprecations and Removals

• The Intel® DPC++ Compatibility Tool has been removed in 2026.0 release. Future contributions and issue reporting are welcomed in the SYCLomatic open-source community.

• Intel® oneAPI Deep Neural Network Library will no longer be part of the Intel® oneAPI Toolkit starting 2027.0.

System Requirements

Note: Minor releases (e.g., 2026.1) automatically inherit all OS requirements from the base major release (2026.0).Only operating systems marked with (+) are newly added in that minor release, and those marked with (–) are removed. Asterisks(**) indicates Deprecations. All others remain unchanged and are not duplicated in the table.

Hardware Requirements

Supported Operating Systems

• The operating systems listed below are supported on Intel® 64 Architecture. Individual tools may support additional operating systems and architecture configurations. See the individual tool release notes for full details.
• oneCCL is not supported on Windows
• oneTBB is not supported on GPUs

Note: These OS distributions are tested by Intel or known to work; other distributions may or may not work and are not recommended. If you have questions, access the Intel Community Forums when you need assistance.  If you have Commercial Support, create a support ticket.

Development Tools

Visual Studio Code (VS Code) Extensions for Intel® oneAPI Toolkits

The VS Code extensions for oneAPI Toolkits provide assistance to developers who are creating, debugging and profiling oneAPI applications. The Using Visual Studio Code with Intel® oneAPI Toolkits User Guide provides additional detail.
The following VS Code extensions are available in the VS Code marketplace:

• Sample Browser for Intel® oneAPI Toolkits
• Environment Configurator for Intel® oneAPI Toolkits
• Analysis Configurator for Intel® oneAPI Toolkits
• GDB GPU Support for Intel® oneAPI Toolkits
• DevCloud Connector for Intel® oneAPI Toolkits

Eclipse*

• Eclipse 2025-12

Microsoft Visual Studio*

• Microsoft Visual Studio* 2022 17.x with 'Desktop development with C++' component installed
• Microsoft Visual Studio* 2026 18.x with 'Desktop development with C++' component installed

oneAPI Toolkits on Microsoft* Windows Subsystem for Linux 2 (WSL 2)

• With Microsoft* Windows Subsystem for Linux 2 (WSL2), you can use native Linux distribution of Intel® oneAPI tools and libraries on Windows*. For more information on usage, refer to Use Intel® oneAPI Toolkits on Microsoft* Windows Subsystem for Linux 2 (WSL 2)

Software Requirements

• GNU* Bash is required for local installation and for setting up the environment to use the toolkit.
• Linux kernel 4.11 or higher
• Linux Developer tools component installed, including gcc, g++ and related tools.
• The Intel® compilers are tested with a number of different Linux distributions, with different versions of gcc. The version of glibc you use must be consistent with the version of gcc in use. other distributions may or may not work and are not recommended. If you have questions and have Commercial Support, create a support ticket. Otherwise use the Intel Community Forums when you need assistance.

For GPU: Level 0 and OpenCL  graphics drivers

• To install the Linux General Purpose Intel GPUs (GPGPU) Driver, see the installation guide and follow the directions for your device.

• You must have the latest drivers to collect GPU usage events and processor graphics hardware events on Windows*. Request drivers from Intel® Support or download them here. 

• Intel® VTune™ Profiler Platform Profiler data collector requires Python* 3.6 or later
• To view PDF documents, use a PDF reader, such as Adobe Reader*

• Requirements to compile DPC++ applications: You must compile DPC++ applications with -gline-tables-only and -fdebug-info-for-profiling options to ensure the availability of debug information for performance analysis.

Graphics Driver Installation

• Windows Intel® Graphics Driver
  To install the driver follow the directions in the article appropriate for your device

  • Intel® Arc™ Graphics, 11th-13th Gen Intel® Core™ processor directions.
  • Xe Dedicated, 6th-10th Gen Intel® Core™ Processor Graphics, and related Intel Atom®, Pentium®, and Celeron® processors directions. Driver version varies depending on the Intel® Graphics in the system.
  • Intel® Data Center GPU Flex Series (ATS-M). Contact your OEM representative for access to the Intel® Registration Center.
• Linux General Purpose Intel® GPUs (GPGPU) Driver
  For all Intel® GPUs, see this article, Overview, and follow the directions for your device.

Support Deprecated

• The following OS support is deprecated and will be discontinued with a future release
  • For CPU
    • Fedora 43
  • For GPU
    • PVC: 
      • SLES15 SP4
    • All other client GPU platforms:
      • Ubuntu 25.10

Support Removed 

• The following OS is not longer supported for 2026.0
  • For CPU
    • RHEL 9.4
    • Rocky 9.6
    • Fedora 42
  • For GPU
    • PVC: 
      • RHEL/Rocky 8.10, 9.5
    • ATS-M:
      • RHEL/Rocky 8.10, 9.5
      • Windows Server 2019
    • All other client GPU platforms:
      • Ubuntu LTS 25.04
• The following IDE is not longer supported for 2026.0

  • Support for Microsoft Visual Studio* 2019 has been discontinued starting from the 2026.0.0 release.

    Users are recommended to upgrade to a supported version of Microsoft Visual Studio* (Microsoft Visual Studio* 2022 or later) to continue using the Compiler IDE extensions.

  • Support for the DPCPP Compatibility Tool (DPCT) has been removed starting from the 2026.0.0 release.

    Users are advised to remove the DPCT extension from Microsoft Visual Studio* and Eclipse IDEs if already installed.

Other Documentation and Support

Customers with active Priority Support for Intel® oneAPI Toolkit can open a ticket for this product at Online Service Center.

• Installation Guide for Intel oneAPI Toolkits
• Get Started with the Intel® oneAPI Toolkits for Linux*
• Get Started with the Intel® oneAPI Toolkits for Windows*
• Release Notes for Intel® oneAPI Base Toolkit (Archive)
• Release Notes for Intel® oneAPI HPC Toolkit (Archive)

Release Notes for All Tools included in Intel® oneAPI Toolkit

• Intel® oneAPI DPC++ Compiler Release Notes
• Intel® oneAPI DPC++ Library Release Notes
• Intel® Fortran Compiler
• Intel® oneAPI Math Kernel Library Release Notes
• Intel® oneAPI Threading Building Blocks Library Release Notes
• Intel® Integrated Performance Primitives Release Notes
• Intel® Cryptography Primitives Library Release Notes  
• Intel® oneAPI Data Analytics Library Release Notes
• Intel® VTune™ Profiler Release Notes
• Intel® oneAPI Deep Neural Network Library Release Notes
• Intel® oneAPI Collective Communications Library Release Notes

Notices and Disclaimers

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