A New Era of Accelerated Computing
Get Codeplay* oneAPI Plug-ins for NVIDIA* & AMD* GPUs
If you haven’t yet, be sure to download these free compiler plug-ins to target a broader set of platforms and architectures.
NVIDIA* GPU Plug-in | AMD* GPU Plug-in
The 2024 tools offer developers even more multiarchitecture capabilities: 30+ new features and enhancements to accelerate and optimize AI, HPC, and rendering workloads across Intel® CPUs, GPUs, and AI accelerators. #poweredbyoneapi
Explore and Download the New Tools
Check Out the 2024 Release Details
See the STAC-A2 Benchmark* Results for Intel GPUs Running oneAPI Software versus NVIDIA*
Read How The ATLAS Experiment Improved Performance Using Intel® oneAPI Tools
Bring your AI and HPC products and solutions to market faster in the new development environment that provides developers and organizations immediate access to the latest Intel® hardware and software technologies so they can build, test, and optimize code faster, cost-effectively, and efficiently. Multiple service tiers are available.
Choose Your Option & Get Started
Watch the Get Started Video [3:56]
Unified Acceleration (UXL) Foundation
Explore this evolution of the oneAPI initiative, launched by the Linux Foundation, that marks the next critical step in driving innovation and implementing the oneAPI specification across the industry. Tons of distinguished organizations are on board, with more to come.
The MLOps Professional Training Package equips you with the skills and competency to design, deploy, and operationalize performant, reproducible AI solutions. The self-paced curriculum includes seven modules that fully prepare you for an industry-recognized certification exam proctored by Pearson VUE.
oneAPI Training—SYCL* Programming
Quick Guide to 4 SYCL Implementations
Get a high-level rundown of four popular ecosystem implementations: Open SYCL* (formerly “hipSYCL”), neoSYCL, triSYCL, and oneAPI. Each implementation includes use cases to help you choose the best one for your applications.
Extend C++ Apps to Your GPU with SYCL
Get a step-by-step walkthrough for using powerful and easy-to-use SYCL kernels and memory-management techniques to extend serial C++ code to parallel, cross-architecture SYCL code, and do it without investing much effort.
Create Heterogeneous Solutions with SYCL Kernels
Learn how Intel® oneAPI DPC++ Library (oneDPL) helps you achieve data parallelism with a fine blend of C++ and SYCL features. The article includes a code sample showing a practical implementation of the library.
Dev-to-Dev Insights & POV
Install Kubeflow* with Confidential Computing VMs on Azure* Cluster
Kelli Belcher, AI solutions engineer, Intel
Get the steps and code for installing Kubeflow on an Azure Kubernetes Services cluster with a confidential computing node pool, setting you up to build and deploy scalable machine learning pipelines.
One-Time Process: Easy CUDA* to SYCL* Migration
Nikita Shiledarbaxi, AI & machine learning product software engineer, Intel
Learn how the Intel® DPC++ Compatibility Tool and its open source counterpart, SYCLomatic, empower developers to reuse CUDA code across other hardware options.
Why Upgrade to oneMKL? An Overview of the Most Used Math Library
Robert Mueller-Albrecht, oneAPI Library Tools Marketing, Intel
Intel® oneAPI Math Kernel Library (oneMKL)is the next-generation of Intel® MKL, expanded and enhanced to support numerical computing across CPUs, GPUs, FPGAs, and AI accelerators that comprise the heterogeneous computing environment.
French Startup Helps Companies with Multimodal AI-Powered Data Management
Tony Mongkolsmai, technology evangelist, Intel
In this conversation, find out how Beewant not only is the first mover in the multimodal AI space, but it’s also delivering insightful analytics and predictions to Paris. (Yes, that Paris.) Listen. [52:45]
Industry Showcase
See the latest collaborations, use cases, and success stories facilitated by oneAPI.
No code should be left behind. With oneAPI, it isn’t. See why the global software community agrees.
The Spain-based tech company achieved extraordinary improvement on its mature, open source mathematical and cryptographic algorithms by using Intel hardware and software technologies.
The Intel® Distribution of Modin* and Intel® Extension for Scikit-learn* can help supercharge and streamline several aspects of a manufacturing operation. Find out how.
The R&D company used the Intel® oneAPI Base and HPC Toolkit on Intel® CPUs and GPUs to quickly and accurately detect yet-to-be-discovered gene mutations and boost epistasis detection approaches.
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