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  • 品牌名称: 酷睿 i9
  • 文件号: 123456
  • Code Name: Emerald Rapids
  • 特殊操作符: “Ice Lake”、Ice AND Lake、Ice OR Lake、Ice*

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Develop and Scale Your Code with Confidence

Highly productive development stack for AI and open, accelerated computing.
Get the Toolkits

 

About oneAPI | What's New

 

 

 

  

Performance, Productivity, Code Quality

Optimized AI from data center to PC. Real-time rendering. Improved HPC productivity and code quality. Get the 2025.1 developer tools from Intel now.

  • Developers can more easily deliver production-ready applications faster with improved reliability and increased hardware choice.
  • From the latest optimizations for Intel® Xeon® 6 processors, AI inference and training acceleration using Intel® oneAPI Deep Neural Network Library (oneDNN), deep learning inference performance profiling on Intel® Core™ Ultra processors to the latest contributions to PyTorch* on Intel processors, you are covered.
  • Use enhanced SYCL* interoperability with Vulkan* and Microsoft DirectX* 12 for real-time graphics, visual AI, and rendering performance.
  • Take advantage of the latest C/C++, Fortran, SYCL, and OpenMP* support with our LLVM-based compiler technology. Ensure code quality for compute kernels running on CPUs and GPUs with sanitizers and expanded code coverage.
  • Improve the efficiency of GPU-initiated communications in your multi-node distributed compute for massive datasets with the new Intel® SHMEM library.
  • Meet your programming and workload needs by combining these cross-disciplinary tools, libraries, and popular frameworks based on and powered by oneAPI.

 

Explore Toolkits | Stand-Alone Tools

  • What Is oneAPI
  • Open Industry Initiative
  • Tools Powered by oneAPI

A Vision of Developer Freedom for the Future of Accelerated Compute

           

oneAPI provides a comprehensive set of libraries, open source repositories, SYCL-based C++ language extensions, and optimized reference implementations to accelerate the following goals:

  • Define a common, unified, and open multiarchitecture and multivendor software platform.
  • Ensure functional code portability and performance portability across hardware vendors and accelerator technologies.
  • Enable an extensive set of specifications and library APIs to cover programming domain needs across industries and compute as well as AI use cases.
  • Meet the needs of modern software applications that merge high-end computational needs and AI.
  • Provide a developer community and open forum to drive a unified API for a unified industry-wide multiarchitecture software development platform.
  • Encourage ecosystem collaboration on the oneAPI specification and compatible oneAPI implementations.

     

A Commitment to Open, Scalable Acceleration Freeing the Developer Ecosystem from the Chains of Proprietary Software

The oneAPI open source software platform is a major ingredient of the UXL, which is:

  • A cross-industry group committed to delivering an open-standard accelerator programming model that simplifies the development of performant, cross-platform applications.
  • Hosted by the Linux* Foundation's Joint Development Foundation, which brings together ecosystem participants to establish an open standard for developing applications that deliver performance across a wide range of architectures.
  • An evolution of the oneAPI software platform with its specification as its core, oneAPI and UXL use SYCL (from The Khronos Group*) as the ISO C++ extension and abstraction layer to provide the multivendor and multiarchitecture freedom of choice at the center of their philosophy.

UXL Foundation

oneAPI Specification

UXL Foundation/Khronos Group Announcement of SYCL for AI, HPC, and Safety-Critical Systems

 

A Flexible, Comprehensive, Open Software Stack that Fits Your Needs

Intel® Software Development Tools and AI Frameworks

           

Intel offers its own Intel-optimized binary distribution of development tools, powered by oneAPI. Some highlights include:

  • oneAPI library and specification-element implementations featuring the latest optimizations and support for Intel® CPUs, GPUs, and other accelerators
  • Intel® oneAPI DPC++/C++ Compiler and Intel® Fortran Compiler
  • Intel® Distribution for Python*
  • Intel® DPC++ Compatibility Tool for CUDA*-to-SYCL migration
  • AI tools, optimized frameworks, and the Intel® Distribution of OpenVINO™ toolkit

Explore All of the Tools

 

Learn More about Software Development for AI

Developing and deploying AI for production applications should fit your requirements, workflows, and available resources. Intel tools, powered by oneAPI, are purpose-built and optimized to deliver exactly that—for generative AI (GenAI), edge deployment, and classical machine learning.

Get Started Building, Deploying and Scaling AI Solutions

 

Reviews and Testimonials

oneAPI has revolutionized the way we approach heterogeneous computing by enabling seamless development across architectures. Its open, unified programming model has accelerated innovation in fields from AI to HPC, unlocking new potential for researchers and developers alike. Happy 5th anniversary to oneAPI!

– Dr. Gal Oren, assistant professor, Department of Computer Science

 

Intel's commitment to their oneAPI software stack is testament to their developer-focused, open-standards commitment. As oneAPI celebrates its 5th anniversary, it provides comprehensive and performant implementations of OpenMP and SYCL for CPUs and GPUs, bolstered by an ecosystem of library and tools to make the most of Intel processors.

– Dr. Tom Deakin, senior lecturer, head of Advanced HPC Research Group

 

Celebrating five years of oneAPI. In ExaHyPE, oneAPI has been instrumental in implementing the numerical compute kernels for hyperbolic equation systems, making a huge difference in performance with SYCL providing the ideal abstraction and agnosticism for exploring these variations. This versatility enabled our team, together with Intel engineers, to publish three distinct design paradigms for our kernels.

– Dr. Tobias Weinzierl, director, Institute for Data Science

 

GROMACS was an early adopter of SYCL as a performance-portability back end, leveraging it to run on multivendor GPUs. Over the years, we've observed significant improvements in the SYCL standard and the growth of its community. This underscores the importance of open standards in computational research to drive innovation and collaboration. We look forward to continued SYCL development, which will enable enhancements in software performance and increase programmer productivity.

– Andrey Alekseenko, researcher, Department of Applied Physics

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Introducing Intel® Tiber™ AI Cloud¹

A New Name. Expanded Production-Level AI Compute.


Intel's developer cloud is now called Intel® Tiber™ AI Cloud. Part of the Intel® Tiber™ Cloud Services portfolio, the new name reflects Intel’s commitment to deliver computing and software accessibility at scale for AI deployments, developer ecosystem support, and benchmark testing.

Get Access (or Sign In)

Explore the Details
 

1 Formerly Intel® Tiber™ Developer Cloud


 

Latest Tech Insights

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Does DeepSeek* Solve the Small Scale Model Performance Puzzle?

Learn how the DeepSeek-R1 distilled reasoning model performs and see how it works on Intel hardware.

Fast Sub-Stream Parallelization for oneMKL MRG32k3a RNG

MRG32k3a is a widely used algorithm for generating pseudo-random numbers for complex math operations. This article introduces how to improve its performance even more by increasing its parallelism level.

Be Ready for Post-Quantum Security—A Future-Proof Solution

Cryptography researchers are on a mission to develop new types of encryption/decryption-based security that even quantum computers can’t break. Intel Cryptography Primitives Library is part of the solution.

Create an AI Avatar Talking Bot with PyTorch* and OPEA

Learn how to use the Open Platform for Enterprise AI (OPEA), a robust framework of composable building blocks for GenAI systems, to create an AI Avatar Chatbot on Intel® Xeon® Scalable processors and Intel® Gaudi® AI accelerators and then accelerate it with PyTorch.

Faster Core-to-Core Communications

In heavily threaded applications, end-to-end latency for short messages can lead to performance degradation. This article discusses an approach to using a modified pointer ring buffer for read-write operation optimization.

How Intel AI Solutions Support Llama 3.2 Models

See how Intel AI hardware platforms, from edge and client devices to enterprise-level data centers, support Llama 3.2 models, including 1B and 3B text-only LLMs and 11B and 90B vision models. Includes performance data.

 

A Field Guide for AI Developers in the Cloud

This collection of practical tips can help you better navigate the world of AI development in the cloud, both the challenges and opportunities.

A Data Scientist's GenAI Survival Guide

Data scientists are pivotal to ensuring GenAI systems are built on solid, data-driven foundations, enabling full potential performance. This guide offers a collection of steps and video resources to set up data scientists for success.


 

 


 

Explore the Latest
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  • Become an MLOps Professional

 


 

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  • Software Development Tools
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Resources
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