In this special guest feature, Ludovic Larzul, Founder and CEO, Mipsology, describes how in the future, AI will be everywhere. And though some computation will continue to take place in data centers, more will happen at the edge. Ludovic Larzul has more than 25 years of experience driving product development, and has authored 16 technical patents. He previously co-founded and served as VP of engineering for Emulation and Verification Engineering (EVE), a startup that designed specialized ASIC validating supercomputers. Ludovic led the company to a 2012 acquisition by Synopsys, where he served as R&D group director before founding Mipsology in 2018.

The renewed interest in artificial intelligence in the past decade has been a boon for the graphics cards industry. Companies like Nvidia and AMD have seen a huge boost to their stock prices as their GPUs have proven to be very efficient for training and running deep learning models. Nvidia, in fact, has even pivoted from a pure GPU and gaming company to a provider of cloud GPU services and a competent AI research lab. But GPUs also have inherent flaws that pose challenges in putting them to use in AI applications, according to Ludovic Larzul, CEO and co-founder of Mipsology, a company that specializes in machine learning software. The solution, Larzul says, are field programmable gate arrays (FPGA), an area where his company specializes. FPGA is a type of processor that can be customized after manufacturing, which makes it more efficient than generic processors.

US machine learning compiler expert Mipsology has teamed with Japanese design and development company OKI IDS on FPGA-based high speed image processing AI services.OKI IDS will use Mipsology's Zebra ML inference accelerator for application designs targeting the fast-growing ML needs in the Japanese market: automotive, industrial robotics, smart cities, medical applications, and video monitoring."We are excited by our collaboration with OKI IDS to supply the Japanese demand for neural network computation that supports high-speed, low-latency image processing," said Ludovic Larzul, CEO and founder of Mipsology. "OKI IDS and Mipsology have a natural synergy and mutual expertise in FPGA design and machine learning that will result in our delivering industry-leading products based on FPGAs."ML Zebra-enabled FPGAs can compute massive amounts of ML data with exceptionally high efficiency, 2.5X more than GPUs, and demonstrate lower power consumption, better environmental adaptability, and a significantly longer lifespan than GPUs, greatly reducing total cost of ownership (TCO).OKI IDS's expertise in designing complex FPGA-based systems, now …

Global technology solutions provider Avnet Asia and AI software innovator Mipsology announced that Avnet will promote and resell Mipsology's Zebra software platform to its APAC customer base. Zebra removes the technical complexity of FPGAs, making them plug-and-play with fast performance. This agreement extends Avnet's IoT ecosystem, bringing Mipsology's deep learning inference acceleration solution to its Asia customers. Companies looking to deploy AI can now seamlessly migrate to new FPGA-based acceleration technologies with no code change and enjoy a longer lifespan for software and hardware than they could with GPU-based solutions. Avnet's first product incorporating the solution will be the Zebra-powered Xilinx Alveo data center accelerator cards. The range of offerings is expected to expand in the future.