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What’s happening to Microsoft’s FPGA strategy for AI hardware?

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Decoupling AI training and inference will change the future of AI silicon

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NVIDIA is shifting AI strategy from “dreadnought” to “supermarket”

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IP cores spotlighted as AI chips go custom

A trend toward customization and the rising ubiquity of AI has situated IP core providers in a critical position in the AI chip market, with these events spurring rising for these companies’ AI acceleration IP cores.

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AI Processors for Cloud and Data Center Forecast Report – 2021 Analysis

Despite the rise of AI at the edge, the cloud and data center segment remains a dynamic and fast-growing market for AI processors. The cloud is in the early stages of AI processor adoption, while data center demand is set to rise.

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AI Processors for Cloud and Data Center Forecast Report — 2021 Database

Despite the rise of AI at the edge, the cloud and data center segment remains a dynamic and fast-growing market for AI processors. The cloud is in the early stages of AI processor adoption, while data center demand is rising.

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AI Chipsets for Edge Forecast Report – 2021 Analysis

Global market analysis and forecasts covering edge-based AI chipsets and accelerators for mobile phones, smart speakers, HMDs, automotive, PCs/tablets, drones, security cameras, robots, edge servers, and machine vision.

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Quantum Computing State of Market Survey – 2021

This is a survey of end users that tracks their current level of familiarity with and current deployment of quantum computing (QC). The survey also captures spending levels, experience, industry connections, and future plans for QC.

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What’s happening to Microsoft’s FPGA strategy for AI hardware?

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IP cores spotlighted as AI chips go custom

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Advanced Computing Quarterly Briefing – 3Q21

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Omdia Research Schedule – 2021

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The Analyst Team
Jonathan Cassell

Principal Analyst | Advanced Computing | AI & IoT

Jonathan Cassell
Alexander Harrowell

Senior Analyst, Advanced Computing and AI

Alexander Harrowell
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