Amazon and Synopsys Strike $1 Billion AI Chip Design Deal to Accelerate Custom Silicon Development

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Amazon and Synopsys announced a multi-year strategic collaboration worth over $1 billion to accelerate AI chip design and custom silicon development. Amazon becomes the lead customer for Synopsys' application-optimized IP while Synopsys adopts AWS compute services and Amazon Bedrock for AI-powered engineering workflows.

Amazon and Synopsys Forge Billion-Dollar Partnership

Amazon and chip design tool maker Synopsys have entered a multi-year strategic collaboration valued at over $1 billion to accelerate AI chip design and custom silicon development

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. The Amazon Synopsys deal deepens cooperation on AI-powered engineering while optimizing tools for one another's services. Amazon will license Synopsys' intellectual property and expand its use of Synopsys' electronic design automation software tools, while Synopsys adopts AWS compute and storage services along with Amazon Bedrock to build and deploy AI applications

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Source: Tom's Hardware

Source: Tom's Hardware

Reshaping Custom Silicon Development

Under the partnership, Amazon becomes the lead customer for Synopsys' new application-optimized silicon IP business, essentially reusable chip designs tailored to specific workloads

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. The agreement expands Amazon's use of Synopsys software to design, simulate, and test increasingly complex chips, with both companies working to optimize multiphysics solutions for Amazon Trainium and Amazon Graviton processors

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. Amazon has increasingly pitched AWS custom chips as a way to improve the economics of AI computing, with CEO Andy Jassy noting that while virtually all AI historically ran on Nvidia chips, "a new shift has started"

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Source: Benzinga

Source: Benzinga

Accelerating AI-Powered Engineering Workflows

The companies plan to collaborate on applying AI across silicon-to-system engineering workflows using Synopsys' AI-powered EDA, physics-based simulation, and agentic AI technologies

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. Amazon will deploy these agentic AI solutions to help engineering teams design, analyze, optimize, and validate new chip designs more efficiently

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. "As our chip designs grow more ambitious and AI reshapes the engineering process itself, Synopsys helps us move faster across the design cycle, helping us deliver more capable, efficient computing for customers worldwide," said Amazon SVP Peter DeSantis

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. Synopsys engineers will use Amazon EC2 and Amazon Bedrock to speed up product development

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Financial Implications and Market Position

The IP agreement introduces a license-plus-royalty model for Synopsys, giving it the potential to earn more as production volumes rise

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. For scale, Synopsys' Design IP business generated $1.75 billion in revenue in its most recent fiscal year, making Amazon's $1 billion+ agreement a significant portion spread over multiple years

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. Amazon estimates that Amazon Trainium could eventually save it tens of billions of dollars in annual capital spending and give AWS several hundred basis points of operating-margin advantage compared with relying on other companies' chips for AI inference

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. Amazon's custom-chip business has already surpassed a $25 billion annual revenue run rate and is growing at a triple-digit percentage year over year, with Anthropic and OpenAI making multi-year, multi-gigawatt commitments to Trainium

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. Synopsys shares rose more than 3% following the announcement, while Amazon gained about 1.5%

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