… Semiconductor companies are under intense pressure to reduce design turnaround time while maintaining power, performance, and reliability targets. AI-assisted automation is increasingly viewed as the only viable way to sustain productivity improvements at advanced nodes. …
… It’s the right move for your shareholders and it’s genuinely good for the industry: competition at the silicon level raises the bar for everyone, and customers ultimately win with real choice. …
… It’s the right move for your shareholders and it’s genuinely good for the industry: competition at the silicon level raises the bar for everyone, and customers ultimately win with real choice. …
… As AI and HPC continue to converge, that flexibility becomes critical. What keeps your customers up at night? Our customers face enormous pressure to achieve greater performance within strict limits on power, cooling, and budget. …
… Today the market is primarily investing in AI chips which must execute AI models with explosive complexity growth. It is not a surprise that emulation architectures with a performance advantage for executing these long AI workloads are today’s winners in the market. …
… AI runs on chips. The foundation models, inference engines, training clusters — all of it requires leading-edge silicon that requires the process engineering expertise the AI industry is pulling talent away from. The demand that makes AI possible is eroding the supply chain that makes AI possible. …