… Explosive Growth in AI Compute Demand AI compute demand continues to grow at an extraordinary pace, driven by both training and inference. On the training side, large language models have already driven roughly fivefold annual increases in compute requirements. …
… EDA companies are increasingly incorporating AI-driven automation into design flows to manage rapidly rising complexity. At the same time, advanced SoCs are integrating hundreds of IP blocks, multiple compute domains, sophisticated network-on-chip fabrics, and increasingly complex software stacks. …
… The expanded collaboration between Synopsys and TSMC brings together silicon-proven IP, AI-driven design tools, and cutting-edge manufacturing processes in a tightly integrated effort to accelerate high-performance computing HPC and AI system development. …
… As highlighted in Synopsys’ guide, the global AI chip market is projected to reach $383 billion by 2032, growing at a 38% CAGR. This surge is driven by AI models scaling to trillions of parameters, outpacing traditional monolithic chips. …
… As AI workloads continue to grow globally, the integration of AI into semiconductor production itself may become a defining competitive advantage for leading foundries in the years ahead. …
… Ensuring reliable connectivity in AI-powered devices was another key focus, as seamless data transmission is critical for AI-driven systems. Panelists emphasized the importance of designing products that align with customers’ development schedules while maintaining technological advancements. …
… AI-driven systems could optimize production lines, identify defects in real time, improve process control, and automate large portions of fab operations. …
… CONTACT S2C Also Read: 2026 Outlook with Ying J Chen of S2C Accelerating Advanced FPGA-Based SoC Prototyping With S2C There is more to prototyping than just FPGA: See how S2C accelerates SoC Bring-Up with high productivity toolchain? …
… For more than two decades, semiconductor innovation was driven primarily by transistor scaling and process node shrinks. Today, however, AI infrastructure demands are growing faster than traditional Moore’s Law improvements can sustain. …
… Early adopters like GlobalFoundries have already noted that the tool maintains production accuracy while enabling speedups within internal flows. …