… Summary TSMC’s roadmap reflects a fundamental shift in the semiconductor industry. As AI continues to scale, the primary challenge is no longer developing more powerful models, but building the infrastructure required to support them efficiently. …
… Today, however, AI infrastructure demands are growing faster than traditional Moore’s Law improvements can sustain. …
… At the infrastructure level are massive GPU-powered supercomputers designed to train and run AI models at unprecedented scale. On top of that sits a growing stack of CUDA libraries, frameworks, and domain-specific AI applications tailored to industries such as semiconductor design and manufacturing. …
Scaling AI Infrastructure with Next-Gen Interconnects by Kalar Rajendiran on 04-29-2025 at 6:00 am View Forum Posts View Articles Private Message Categories: 3D IC , AI , Chiplet , EDA , IP , Synopsys At the recent IPSoC Conference in Silicon Valley, Aparna Tarde gave a talk on the importance of Ne… …
… Sessions increasingly cover automotive electronics, data center infrastructure, robotics, aerospace, edge AI, and cloud-native design methodologies. …
… Partnerships like this show a shift toward industrial-scale execution. Rather than simply funding research projects, Europe is now supporting infrastructure capable of enabling large-scale AI deployment across commercial and public sectors. …
… Today, however, AI infrastructure demands are growing faster than traditional Moore’s Law improvements can sustain. …
… Given current AI infrastructure demand trends, slowing investment appears unlikely. …
… It was a classic “good news / bad news” scenario: rapidly growing interest in our technology required more people, more demos, more benchmarks, and more infrastructure; fast. On the technology side, the most significant shift was the explosive demand for running LLMs and SLMs directly on devices. …
… Why This Matters for AI Hardware The significance of this partnership lies in how it tackles the core constraints of modern AI workloads. As compute performance scales, the bottlenecks have shifted toward data movement, power efficiency, and system integration. …