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This partnership deepens the integration of agentic AI into custom silicon design workflows, directly addressing the efficiency challenges of engineering increasingly complex chips like Trainium and Graviton. By leveraging Synopsys' EDA tools and Amazon's cloud infrastructure, the collaboration aims to accelerate multiphysics simulations and optimize application-specific hardware for advanced AI workloads. The agreement signifies a strategic shift where AI is no longer just a software layer but a core component of the physical chip design process itself.
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Synopsys and Amazon Announce Strategic, Multi-year IP Agreement for Custom Silicon; Collaboration Also Extends to Cloud and AI - Powered Engineering

GDELT2 min de cititArticolul și perspectiva sunt în engleză.

Synopsys engineering will also adopt Amazon Elastic Compute Cloud (Amazon EC2) and Amazon Bedrock to accelerate its product development. SUNNYVALE, Calif. -- Synopsys, Inc. (Nasdaq: SNPS) today announced a strategic agreement with Amazon to accelerate Amazon's custom silicon innovation and advance the development of increasingly complex AI-powered products…

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