In producing the AI Reality (AIR) chart on AI hardware accelerators in January 2019, Ovum focused on conventional (classical) computer hardware and did not cover the esoteric parts of the spectrum: hardware exploiting optical or photonic physics, analog physics (light also falls into this category), and photonic quantum effects. In this edition of the AIR chart Ovum takes a closer look at these types of AI acceleration chips. The market in photonics was stimulated by a pivotal paper published in 2017, which reported applying optical technology to training deep learning neural networks. The current state of this segment of the AI hardware acceleration market has startups in various modes of incubation, as well as large high-tech players involved in research projects. This Ovum report identifies eight startups and two incumbents working in photonics as well as two other groups working on other analog technology.
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January 2020 AI Reality Chart Tracks the Analog and Photonic AI Hardware Accelerator Race
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Michael Azoff
Follow AnalystChief Analyst, Cloud Native Computing
Michael is a chief analyst on Omdia’s cloud and data center team, where he covers a range of topics related to the cloud, data center, AI, software development, Agile, and DevOps. He also provides consulting to clients and support for Informa Tech events, with a focus on cloud native computing.
Michael was previously a consulting analyst at GigaOm, covering AI and software development. Prior to this, he was chief analyst at Kisaco Research, where he introduced an analyst chart on AI chips. Michael was also a distinguished analyst at Informa companies, including Ovum, for 17 years. After completing his PhD in solid-state electronics at the University of Sheffield (England), Michael worked at Rutherford Appleton Laboratory and published academic papers. He went into R&D, built neural networks, launched a startup for his Prognostica Microsoft Excel add-in for time series forecasting, and published a book, Neural Network Time Series: Forecasting of Financial Markets.
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