See the ecosystem support for oneAPI from a growing, global list of companies, universities, and institutions.

AI Singapore (AISG) Engineering Team

"oneAPI is an exciting initiative, and our Singapore AI engineering team is already using Intel’s oneAPI Beta tools for our 100 Experiments (100E) and AI Apprenticeship programs. We’re looking to the future where Intel oneAPI tools will allow us to focus on building cutting-edge AI solutions and products for our industry partners with consistent interfaces and tooling."

— Laurence Liew, director, AI Industry Innovation & Makerspace, AI Singapore Engineering Team


"Allegro is a proud participant in Intel's oneAPI Beta program. We are pleased to collaborate with Intel to drive acceleration of computer vision and perception for edge devices, IoT and other use cases, and to support [Data Parallel C++] DPC++ with heterogeneous hardware environments in real-life deployments."

— Nir Bar-Lev, CEO and cofounder, Allegro

Argonne National Laboratory

"The future of advanced computing requires heterogeneous hardware to maximize the computing power needed for exascale-class workloads. The oneAPI industry initiative Intel is spearheading will ensure that programming across diverse compute architectures is greatly simplified."

— Rick Stevens, associate laboratory director, Computing, Environment, and Life Sciences, Argonne National Laboratory and professor of computer science, University of Chicago

Ben-Gurion University of the Negez

"Ben-Gurion University is pleased to take part in Intel’s oneAPI Beta. We believe a unified and open programming model is imperative for helping us more efficiently build advanced software solutions on diverse architectures in our AI research. This enables students, developers and researchers to learn how to build advanced software and scale it to a variety of data center-size accelerators for tackling tough problems in AI, analytics, physics, computational chemistry and many other fields."

— Professor Lior Rokach, Department of Software and Information Systems Engineering, Ben-Gurion University of the Negez

Cambridge University

"The University of Cambridge Research Computing Service supports world-leading research in science, technology, and medicine where we see the need for large-scale data-driven discovery platforms with converged capability for simulation, data analytics, and AI. If these computation discovery platforms are to advance in step with the ambitions of the science projects that drive them, we will need ever more energy-efficient systems that rely increasingly on heterogeneous compute elements to help solve the world’s biggest scientific challenges. The promise of oneAPI to deliver a single programming environment across multiple compute architectures is a vital tool to unlock the promise of heterogeneous computing. Here science communities can leverage investments in code development across multihardware platforms helping advance performance gains from different hardware targets and also making future hardware targets more accessible."

— Paul Calleja, director of Research Computing Service, Cambridge University

Centre for Development of Advanced Computing (C-DAC), India

"Intel’s oneAPI initiative addresses the ever-present challenge of porting code to new hardware targets for the developer community. Long-term, the initiative will help meet the demands of converged computing and unify the development experience for heterogeneous architectures while promoting code reuse. This will speed adoption of new architectures and accelerate the convergence of [high-performance computing] HPC and AI. With [the Centre for Development of Advanced Computing] C-DAC at the forefront of addressing India’s HPC and AI technology and application demands, we welcome this approach and look forward to applying it in our organization."

— Dr. Hemant Darbari, director general, C-DAC

CERN ATLAS Data Processing Group

"Scientists at the CERN Large Hadron Collider (LHC) project are working towards new scientific discoveries that will require them to analyze unprecedented data volumes on the most powerful HPC systems worldwide. The oneAPI concept of a unified programming model, built on open industry standard specifications, will allow for a seamless software development process for utilising heterogeneous processing hardware infrastructures. As an early participant in Intel’s Beta programme, we are very interested in the prospects oneAPI is offering for the future of software development in our field."

— Dr. Markus Elsing, group leader, CERN ATLAS Data Processing Group

CERN Openlab

"One of the major problems facing developers today is disparate programming environments and little code re-use opportunities across different types of hardware. A single programming environment that could render code without sacrificing performance across multiple hardware types is a difficult, yet important challenge. Intel oneAPI appears to be a significant step in the right direction, promising code portability without compromising the ability to tune performance for CPUs and accelerators, and making hardware transitions considerably less risky and error prone. We are therefore considering oneAPI for high energy physics (HEP) workloads."

— Federico Carminati, chief innovation officer, CERN openlab


"Cineca* is enthusiastic about the work Intel is undertaking with the oneAPI software stack, which supports open specifications for a single cross-architecture development model. Building on that work, Cineca is investing in community codes like Quantum Espresso to enable it for future exascale solutions on multiple types of architectures."

— Carlo Cavazzoni, head of HPC solutions and architectures, Cineca


"We're excited to collaborate with Intel on oneAPI, which delivers a single programming model that can address our customers’ production needs across compute and memory intensive workloads, at speed and scale across various types of architecture and accelerators. oneAPI will enable GigaSpaces'* customers to deploy end-to-end machine learning and deep learning pipelines from training and validation to the inference and adaptive learning stages."

— Yoav Einav, vice president of product, GigaSpaces

GE Healthcare

"A unified programming model like Intel’s oneAPI can go a long way in accelerating the hardware and software ecosystems. We especially welcome how Intel is driving this as an open initiative and look forward to working closely with them to increase adoption in a collaborative manner."

— Dani Pinkovich, algorithm group manager, GE Healthcare

Hewlett Packard Enterprise* (HPE)

"We are approaching the exascale era, which is defined by data growth and converged HPC, AI, and analytics workloads to unlock greater value, discovery, and accelerate innovation. Customers are requiring development tools to address varying and data-intensive workloads running on complex, diverse architectures. By continuing our long-standing partnership with Intel and supporting oneAPI, our customers are gaining tools to optimize applications and speed market delivery through unified programming and simplified software development across a range of HPE technologies, including compute solutions such as CPUs, GPUs, FPGAs, and AI accelerators."

— Peter Ungaro, senior vice president and general manager, HPC and AI, HPE

Indian Institute of Science (IISc, Bangalore)

"We are working on developing scalable algorithms for diverse parallel computing architectures. The standards-based open oneAPI specification will simplify development complexity by enabling one software abstraction across heterogeneous architectures, while allowing hardware-specific tuning for optimal performance. We have started exploring the Intel® oneAPI Toolkit Beta, and are confident that the oneAPI programming model will mature and become a standard."

— Professor Sashikumaar Ganesan, associate professor and chair, Department of Computational and Data Sciences, Indian Institute of Science

Indian Institute of Technology Delhi (IIT Delhi)

"We eagerly look forward to the oneAPI initiative, and the effort to build a platform-inclusive programming approach that will help domain experts improve utilization across a variety of available hardware, as well as other emerging architectures in the future."

— Dr. Manish Agarwal, Computer Services Centre, IIT Delhi

Indian Institute of Science Education & Research (IISER) Pune

"The oneAPI initiative to unify the developer experience across diverse architectures will address the need of the hour for AI, especially in the scientific community where new applications are being developed using the best-suited heterogeneous hardware choices. As an institution focused on scientific research, we look forward to engaging with Intel on oneAPI to evaluate how it can help our AI and [high-performance computing] HPC researchers drive faster innovation by harnessing the capabilities of a range of modern hardware architectures today and in the future through simplified programming interfaces."

— Goldi Misra, chief technology officer, IISER Pune, India

Indian Institute of Technology Kharagpur

"We’re excited to be part of the oneAPI Beta evaluation to test the benefits of a unified software programming model across multiple types of hardware and accelerators. This project will help us explore diverse computing architectures for our AI research using a single development environment to optimize workloads and deploy more easily across a variety of hardware platforms."

— Rajat Subhra Chakraborty, PhD, associate professor, Department of Computer Science and Engineering, Indian Institute of Technology Kharagpur, West Bengal, India

Indian Institute of Technology Roorkee (IIT Roorkee)

"IIT supports the oneAPI concept for a single programming strategy that works across many types of architecture, as it will further extend our AI research conducted by our research scholars and masters students on different platforms. We are happy to participate in Intel’s oneAPI Beta evaluation and look forward to a fruitful research collaboration together."

— Dr. Durga Toshniwal, professor and researcher, Department of Computer Science and Engineering and head of the Centre for Transportation Systems, Indian Institute of Technology Roorkee


"We’re excited to be working closely with Intel through their oneAPI tool Beta program. The vision of having a single unified programming model is a revolutionary approach that could fundamentally change how organizations deploy their workloads across a diverse set of accelerators and processors."

— Scott Tease, general manager, HPC & AI, Lenovo Data Center Group

Megh Computing

"Complex workloads today demand more efficient development strategies to deploy them across many types of architecture. Megh Computing is delighted to see oneAPI as an open project with a single programming approach that works across different processors and accelerators. We are pleased to collaborate with Intel and the ecosystem on oneAPI, and excited to test the model across the Intel® FPGA Programmable Acceleration Cards, CPUs, and future discrete GPUs in our early projects with the goal to ultimately take them to market."

— PK Gupta, CEO and founder, Megh Computing


"In [high-performance computing] HPC, different hardware vendors require proprietary programming models which slows down developer productivity. MEGWARE Computer is proud to support Intel’s vision of a unified programming model for developing applications across a variety of hardware. With oneAPI, HPC developers can focus their cycles on addressing large computational problems efficiently rather than coding for disparate hardware environments."

— Axel Auweter, CTO, MEGWARE GmbH

National Lab of Scientific Computing (Laboratório Nacional de Computação Científica [LNCC])

"LNCC is participating in Intel’s oneAPI Beta and welcomes the open approach from Intel to drive industry innovation more rapidly in the heterogeneous computing for field of high-performance computing (HPC). We are pleased to collaborate with Intel and contribute to the HPC community with our inputs to this new and open programming model being designed to support a diverse mix of accelerators."

— Wagner Vieira Leo, Coordinator of IT and Communications, LNCC

Philips Algotec

"Based on our current experience using Intel® software, having oneAPI as a unified software stack that works across several hardware solutions is a great concept. Given today’s programming challenges deploying solutions on different platforms, oneAPI seems to be a perfect match to streamline development efficiency."

— Ishai Tal, head of Platform and Cloud Architecture, Philips Algotec


"To manage the rapid growth of data and scale infrastructure efficiently, customers are adopting heterogeneous platforms. Our solution is built on such a platform [that uniquely leverages] FPGAs and CPUs. The oneAPI programming model will enable more efficient development resulting in faster time to market, and [will] ultimately help us meet our customers’ needs quickly. We look forward to working with Intel and other ecosystem partners to bring more innovative solutions to market supporting different hardware architectures using this set of common programming APIs."

— Prasanna Sundararajan, founder and CEO, rENIAC


"SAP* welcomes Intel’s strategy to offer a unified programming model (oneAPI) based on an open specification, which is designed to provide a higher abstraction for parallel language support (in DPC++) to seamlessly program current and future heterogeneous architectures. Based on a programming model [that's] familiar to developers (C++), DPC++ has the potential to enable the vast majority of the SAP HANA* C++ developers to efficiently get full performance out of diverse hardware platforms running in-memory databases like SAP HANA."

— Dirk Basenach, head of database, SAP HANA and Analytics, SAP


"With today’s data management challenges, the industry needs a unified solution for native programming of CPUs and accelerators for efficient cross-architecture development. The oneAPI initiative with its open specification and industry standards will do much to push an ecosystem-wide solution forward. SAS* and Intel have a rich history to drive innovation in the market. We are pleased to work with Intel to evaluate oneAPI and its Beta tools, [and deliver] breakthrough innovation for our customers."

— Bryan Harris, senior vice president of R&D Engineering, SAS



"Heterogeneous programming for multiple platforms (CPUs, GPUs, FPGAs, and AI accelerators) is a challenge for us and also for the industry. SENAI-CIMATEC is glad to collaborate with Intel on the oneAPI Beta program and look forward to providing feedback on this open, unified software stack targeted to simplify programming across different compute engines for a variety of [high-performance computing] HPC workloads."

— Adhvan Furtado, HPC, AI, and software executive manager, SENAI CIMATEC


"SUSE* is the most customer-centric open source company in the world, and that’s why we look forward to the oneAPI initiative. Its goal of delivering a single multi-architecture programming environment based on an open specification and industry standards will benefit enterprise users globally. SUSE anticipates ongoing collaboration with Intel around this initiative as well as others, in order to help ease software development and deployment for our joint customer base."

— Vojtech Pavlik, vice president, SUSE Labs

Stockholm University and Kungliga Tekniska Högskolan (KTH)

"As the leader of the GROMACS development team (one of the most widely used [high-performance computing] HPC codes in the world for molecular simulations) at Stockholm University and KTH, I’m delighted to strongly endorse Data Parallel C++, a cross-architecture development language, based on the first specification and road map. We think it's outstanding to finally see a strong C++ enabled accelerator development environment, as well as the strong commitment to an open project and industry specifications. Furthermore, the aim of contributing parallel and accelerator-enabled functionality as part of future C++ standards is just as important, since this will be a revolution for portability."

— Erik Lindahl, biophysics professor, GROMACS development team, Stockholm University and KTH


"As workloads and available hardware choices diversify, software developers want to choose hardware that addresses unique requirements of every workload without adding complexity to their software workstreams. We’re excited to work with Intel on the oneAPI initiative, a new and open programming model that aims to reduce that complexity for our developers."

— Ariel Pisetzky, vice president, Information Technology and Cyber, Taboola*

Tech Mahindra

"Tech Mahindra continues to build its strategic partnership with Intel. We are pleased to collaborate on the open project, oneAPI, which promises to truly usher in an era of heterogeneous computing. With our large global customer base (including Fortune 500 companies), we are poised to unlock new opportunities through oneAPI in the industries using diverse workloads. Use of Intel® FPGA Programmable Acceleration Cards, Intel® GPUs, and Intel® CPUs will bring in additional benefits and drive growth to our customers. We are excited with this game-changing moment and happy to be part of this journey!"

— Pritam Parvatkar, senior vice president and global head, Strategic Technology Business, Tech Mahindra


"We welcome how Intel is driving oneAPI as an open industry initiative to foster hardware and software ecosystem innovation and adoption. We look forward to participating in the initiative and are evaluating Intel oneAPI tools for our cross-architecture programming needs. This initiative represents an excellent opportunity to create a new unified experience for our developer community through Tencent Cloud."

— Zhang Wenjie, general manager, AI Platform and IoT Products, Tencent Cloud


"With the growth of AI, machine learning, and data-centric applications, the industry needs a programming model that allows developers to take advantage of rapid innovation in processor architectures. TensorFlow supports the oneAPI industry initiative and its standards-based open specification. oneAPI complements TensorFlow’s modular design and provides increased choice of hardware vendor and processor architecture, and faster support of next-generation accelerators. TensorFlow uses oneAPI today on Xeon processors and we look forward to using oneAPI to run on future Intel architectures."

Zuse Institut Berlin (ZIB)

"Increasing the performance of diverse demanding workloads on a wide range of platforms with CPUs and accelerators (GPUs and FPGAs) while maintaining the energy envelope is critical for larger compute systems like the [North-German Supercomputing Alliance] HLRN installation at the Zuse Institute Berlin. We are participating in the Intel oneAPI Beta program to evaluate solutions leveraging a single cross-architecture programming model that will enable performance, increase productivity, and reduce costs. With oneAPI, our [high-performance computing] HPC and data analytics community has a path to a near-future software ecosystem that can more easily support heterogeneous platforms built on CPUs and accelerators."

— Dr. Thomas Steinke, head of the Supercomputing Department, Zuse Institute Berlin


"The Intel® DPC++ Compatibility Tool greatly supported our porting efforts to create a single source DPC++ version of the tsunami simulation EasyWave and to shift away from individual source codes for CPUs (OpenMP) and GPUs (CUDA). The obtained code from the automatic conversion provided a solid ground and required only minor adjustments to get a working DPC++ version of the application. We also appreciate the promising performance characteristics of easyWave with the early, pre-product oneAPI releases."

— Dr. Steffen Christgau, research associate, Zuse Institute Berlin