Cloud native EDA tools & pre-optimized hardware platforms
Artificial intelligence is pervasive at Synopsys with solutions specifically targeting the design of chips for AI applications and solutions that incorporate AI to accelerate chip design and improve efficiency throughout the EDA flow.
Push the limits of silicon performance with AI-driven design solutions.
Accelerate AI SoC design with our optimized IP for diverse requirements.
Discover and verify new AI architectures faster with emulation hardware solutions.
Power, performance, and memory tradeoffs critical to building the best AI SoCs.
Analytics extract and reveal actionable insights from vast amounts of EDA tool data.
Enable design teams to scale and operate at expert levels.
Synopsys.ai is the first electronic design automation suite to harnesses the power of generative AI across the full EDA stack and fuels next-level time-to-results for advanced chip design. Synopsys.ai will include collaborative, generative, and autonomous capabilities through the use of conversational intelligence. Powered by large language models (LLMs), Synopsys.ai generative AI capabilities can be deployed in any on-prem or cloud environment. The integration of GenAI across the Synopsys.ai suite will provide chip designers with collaborative capabilities that offer expert tool guidance; generative capabilities for RTL, verification, and other collateral creation; and autonomous capabilities for workflow creation from natural language.
Synopsys.ai? is the industry¡¯s first full-stack AI-driven EDA solution suite to use the power of AI from system architecture to design and manufacturing. The Suite quickly handles design complexity and takes over repetitive tasks such as design space exploration, verification coverage and regression analytics, and test program generation, while helping to optimize power, performance, and area. AI capabilities can help teams quickly migrate their chip designs from foundry to foundry or from process node to process node.?
Synopsys.ai also delivers the industry¡¯s first data continuum solution to accelerate chip design, verification, and high-volume manufacturing. This AI-driven data analytics solution allows teams to unlock, connect, and analyze the vast amount of data collected across design, verification, manufacturing, test, and in-field operations. Its unique chip monitor technology enables optimization of power, performance, quality, yield, and throughput. The solution's consolidated visualization accelerates root cause analysis at any stage of the IC lifecycle.
Build amazing AI SoCs with our broad portfolio of silicon-proven Synopsys IP. Keep pace with innovations in deep learning algorithms and neural network processing, and meet the diverse processing, memory, and connectivity requirements across mobile, IoT, data center, automotive, and digital home applications.
Datapaths are ubiquitous in almost every AI SoC. Verify the equivalence between architectural description and datapath implementation faster with Synopsys VC Formal? DPV.
Today¡¯s increasingly complex SoCs lead to millions of clock domain crossing (CDC) violations, each requiring a dedicated review effort to ensure a bug-free tape-out. Synopsys VC SpyGlass? machine learning-based root cause analysis (ML-RCA) technology provides a 10x boost in designers¡¯ debug productivity.
Simpleware? automated solutions are powered by AI technology using Machine Learning (ML) algorithms. What is currently a laborious process that occupies significant engineering resources and time, can now be completed quickly, accurately, and with less variability.
Our emulation hardware solutions shorten development times by allowing designers to run actual workloads on experimental architectures and rapidly validate new AI compute architectures. ZeBu? Server 5 delivers 2x emulation performance for faster verification and earlier software bring-up for AI SoCs.
ZeBu Server 5 also offers the largest capacity, faster compile, advanced debug, power analysis, simulation acceleration, and hybrid emulation to handle new classes of AI SoCs.
Power, performance, and memory tradeoffs are critical to building the best AI SoCs. Achieve unparalleled time to results, speed debug, and improve collaboration across the supply chain with Platform Architect?.