Overall shipments of graphics devices for the year, 2010 came in below expectations with an unimpressive 4.3% total year to year growth—a disappointing result given the enthusiastic start of the year. Q4 of 2010 did not boost the year as expected. Instead of the traditional seasonal pickup, market leader Intel showed decline, which affected the overall results. MarketWatch is available for download for Subscribers
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AI Processors in Wearables Report
(Buyer will receive $300 coupon, good for 90 days, toward any other JPR AIP report)
Jon Peddie Research’s AI Processors in Wearables report is a supply-side report analyzing the emerging class of SoCs designed for AI inference at the edge.
The Wearables in AI report defines the SoCs used in wearables and how they are used.
The report also contains information about the companies, their technologies and products, and the approaches each company is taking.
SoCs used in wearables are not a replacement for GPUs or NPUs — they are typically highly efficient, low-power chips that sell in medium- to high-volume devices. This JPR report covers the architecture, competitive landscape, and commercial trajectory of wearable SoCs from Whoop 4.0 / 5.0, Fitbit Air, Oura Ring 4, Amazfit Helio, Polar Loop, and Garmin Cirqa.
FPGAs in AI Report
(Buyer will receive $300 coupon, good for 90 days, toward any other JPR AIP report)
Jon Peddie Research’s FPGAs in AI report is a supply-side report; it covers the companies building field-programmable chips for AI inference at the edge and in the cloud, and IoTs.
The FPGAs in AI report defines FPGA processors and how they are used.
The report also contains information about the companies in this segment and their technology and products, as well as the approaches each company is taking.
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Neuromorphic AI Processors Report
(Buyer will receive $300 coupon, good for 90 days, toward any other JPR AIP report)
Jon Peddie Research’s Neuromorphic AI Processors report is a supply-side report; it covers the companies building neuromorphic compute processors.
The Neuromorphic AI Processors report defines neuromorphic AI processors and how they are used. The report also contains information about the companies in this segment and their technology and products, as well as the approaches each company is taking.
The broad neuromorphic landscape divides into three main categories. Digital SNN processors implement spike-based computation using CMOS logic. Analog and mixed-signal designs process signals in continuous domains to improve efficiency. A third group adopts neuromorphic principles without relying on spike timing, instead using digital, analog, or photonic methods to accelerate AI workloads.