Amid fierce competition in the IT industry, Intel has demonstrated its commitment to revitalizing the developer community through open platforms and providing developers with solutions tailored to their needs.

On the second day of its Intel Innovation event on the 29th, Intel unveiled its efforts and investments to foster an open ecosystem. At the event, Intel unveiled solutions for developers, as well as new tools to support AI, security, and quantum computing development.

Intel oneAPI Evolves into a Community Forum
In Intel's second-day keynote, CTO Greg Lavender emphasized the openness and versatility of oneAPI. OneAPI is an open, standards-based, universal programming model that allows developers to choose the architecture best suited to the specific problem they're trying to solve. As oneAPI adoption and implementation expands, Intel has set the future direction of oneAPI to address the evolving needs of developers, researchers, and the semiconductor industry, and explained that oneAPI is gradually transforming into a community forum.

Codeplay, an Intel subsidiary that drives open standards and has expertise in cross-platform implementations of SYCL and oneAPI tools, will oversee the oneAPI development community. Intel announced that it will continue to provide developer tools and accessible toolkits based on the oneAPI specification.

The Intel oneAPI 2023 toolkit supports the latest CPU, GPU, and FPGA architectures and is scheduled to ship in December, including the open-source SYClomatic compatibility tool. SYCLomatic supports converting CUDA source code to SYCL source code, giving developers a choice in computing architecture.

Intel also announced six additional education and research institutions that have formed oneAPI Centers of Excellence to expand oneAPI support in critical applications and expand oneAPI curriculum development. △Peking University △UK Science and Technology Facilities Council △Technion Institute of Technology, Israel △Joint research between the University of Utah and Lawrence Livermore National Laboratory △University of California, San Diego △Zuse Institute in Berlin are included.

"Intel's goal is to provide developers with easy access to the best software technologies, whether through the open source ecosystem or through products provided by Intel," said Lavender, CTO.

Meanwhile, according to the 2021 Global Development Survey conducted by Evans Data Corporation, approximately 90% of developers use software developed or optimized by Intel. Intel has been a significant contributor to the Linux kernel for over a decade and has integrated its oneDNN performance library into TensorFlow, automatically delivering up to a 3x performance boost to millions of TensorFlow users.

AI, neuromorphic, and quantum computing tools unveiled
Another advantage of open technology is its ability to integrate with countless solutions from vendors and customers with diverse expertise.

On this day, Red Hat CTO Chris Wright appeared via video during Intel CTO Greg Lavender's presentation. Wright CTO announced that Red Hat OpenShift Data Science is “integrated with Intel’s AI product line, enabling developers to train and deploy AI models using the Intel AI Analytics Kit and OpenVINO tools.”

Red Hat explained that it is working to make Habana Gaudi available within its services to “provide cost-effective, high-performance deep learning model training and deployment, all as a managed cloud service.” Wright also announced the launch of the Intel and Red Hat AI Co-Developer Program, “to help developers easily train, test, and deploy models using Red Hat OpenShift Data Science and Intel’s integrated AI and edge portfolio.”

Intel also announced the Intel Quantum SDK, which will help developers learn how to program quantum algorithms and realize the technology's potential.

Lavender detailed Intel's progress on post-quantum cryptography, part of a three-phase approach to addressing the threat posed by quantum computers, which was briefly outlined at Intel Vision in May.

Lavender CTO said recent advances in standardization and the urgency of the opportunities and risks represent "a significant step forward in ensuring resilience to Y2Q, or quantum computing attacks, by 2030," adding that "many expect Y2Q to have a greater impact than the 'millennium bug' in 2000."
Intel, which is seeking to commercialize neuromorphic technology, is working with Intel Labs to develop the following: Kapoho Point, a stackable multi-board platform based on the Loihi2 research chip; updates to the Lava open software development framework; addition of new members and the Intel Neuromorphic Research Community, sponsored by Intel.Announced new tools for developers, including eight university projects including NITI (INRC).

Intel also unveiled three healthcare AI reference kits, covering document automation, disease prediction, and medical image diagnosis, for developers looking to quickly and efficiently build new, industry-specific AI solutions. These kits are available on GitHub alongside the four AI reference kits released in July.