Cloud native EDA tools & pre-optimized hardware platforms
Processors to manage massive and changing compute requirements for machine and deep learning tasks.
IP solutions to support efficient architectures for different memory constraints including bandwidth, capacity, cache coherency.
Synopsys provides reliable connectivity to CMOS image sensors, microphones, and motion sensors for AI applications including vision, natural language understanding, and context awareness.
Recent innovations in deep learning algorithms and neural network processing is driving new technology requirements for artificial intelligence (AI) SoCs. Deep learning capabilities are being added to SoCs across all markets including mobile, IoT, data center, automotive, and digital home. Synopsys’ silicon-proven IP portfolio is addressing the diverse processing, memory, and connectivity requirements of each market.
New ARC NPX6 NPU IP delivers up to 3,500 TOPS performance for automotive, consumer & HPC SoCs.
Read NewsWill your next system require high performance AI? Learn what the latest systems are using for computation.
Watch NowAs AI capabilities enter new markets, the IP selected for integration is providing the critical components of an AI SoC.
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