
Amazon and Synopsys seal $1bn technology partnership
AMAZON, with locations in Tallaght, Citywest and Clondalkin, have signed a $1 billion deal with fellow American multinational Synopsys to accelerate Amazon’s custom silicon innovation and advance AI products and cloud infrastructure.
Amazon, with bases at Greenhills Road, Cooldown Commons, Rathcoole and Baldonnell, has agreed a massive deal with Synopsys, with an Irish base in Blanchardstown, to accelerate Amazon’s custom silicon innovation and advance the development of increasingly complex AI-powered products and cloud infrastructure in a multi-year agreement.
Synopsys is a leader in engineering solutions from silicon to systems, enabling customers to rapidly innovate AI-powered products.
Peter DeSantis, SVP, foundational AI, custom silicon, quantum computing at Amazon stated that custom silicon “has fundamentally changed what’s possible” for Amazon Web Services.
Mr DeSantis said: “Amazon has invested in custom silicon for more than a decade, and it has fundamentally changed what’s possible for AWS and our customers.
“From Graviton to Trainium, purpose-built chips deliver better performance at lower cost because they’re designed for exactly what customers need.
“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.”
Building on more than 15 years of collaboration, the agreement expands Amazon’s use of Synopsys’ IP to include application-optimized silicon IP.
President and CEO of Synopsys Sassine Ghazi said: “Special purpose silicon is at the heart of AWS innovation. As we expand into application-optimized IP solutions, we’re proud to have Amazon as our lead customer for this next phase of growth.
“More broadly, by combining Amazon’s leadership in AI infrastructure and custom silicon with Synopsys’ leadership in silicon IP, EDA and Multiphysics solutions, we can dramatically increase the productivity of our teams and shape the future of AI-native engineering.”
