The challenges associated with getting AI models into production are well known. What developers need now are ways to address those challenges. Ramtin Davanlou, from Accenture*, presents his thoughts around how developers can get their models in production and do it more quickly during his presentation at the oneAPI DevSummit for AI 2022. Davanlou first discusses the development cycle to deploy AI systems and its associated challenges. He emphasizes that to move through this cycle successfully requires the combination of both hardware acceleration and the software optimizations provided by oneAPI.

Intel has this week announced the release of its first set of open source artificial intelligence reference kits specifically designed to make AI more accessible to organizations in on-prem, cloud and edge environments. The AI reference kits include AI model code, end-to-end machine learning pipeline instructions, libraries and Intel oneAPI components for cross-architecture performance. The Intel Open Source AI reference kits are now available to download for free from the official Intel website and are also available via GitHub. "Innovation thrives in an open, democratized environment. The Intel accelerated open AI software ecosystem including optimized popular frameworks and Intel's AI tools are built on the foundation of an open, standards-based, unified oneAPI programming model. These reference kits, built with components of Intel's end-to-end AI software portfolio, will enable millions of developers and data scientists to introduce AI quickly and easily into their applications or boost their existing intelligent solutions."