White House won't ask for ownership stake in TSMC or Micron in exchange for CHIPS Act funds — companies already investing more in the US expected to be exempt
Source
Published
Source
Published
Dr. L.C. Lu, a key figure at TSMC, focuses on design-technology co-optimization, packaging innovations, and AI-driven methodologies for next-gen semiconductor systems. TSMC emphasizes DTCO and DDCL innovations for scaling from N5 to A14 nodes, with NanoFlex and NanoFlex Pro architectures offering efficiency gains. N2P and N2U nodes incorporate advanced DTCO and power delivery optimizations, with hybrid dual-rail architectures achieving significant energy savings. TSMC collaborates with EDA partners for AI integration, enhancing productivity and design quality. Advanced packaging technologies like CoWoS and SoIC play a crucial role in enabling AI scaling, with memory bandwidth and interconnect performance scaling aggressively. TSMC addresses power delivery and thermal management challenges in AI systems through advanced solutions. TSMC's advancements in design methodologies and AI-driven automation promise improved productivity and scalability in chip-package co-design.
Intel has seen improved revenue per wafer by reducing yield variability across each wafer, resulting in more sellable CPUs. The company's focus on tightening yield distribution across the wafer edges has led to increased margins and productivity. By implementing edge-specific process correction methods, Intel can extract more high-quality and sellable dies from a single wafer. These improvements are node-independent and have been attributed to disciplined execution improvements under new manufacturing leadership. Intel's efforts have led to better output and demand for CPUs, with even lower-quality chips now being sold as viable products.
Bolt Graphics has successfully taped out its first Zeus GPU test chip on TSMC's 12nm process, transitioning from FPGA emulation to manufactured silicon. The company claims a significant 17 times lower cost of compute with this move. The test chip will undergo customer benchmarking before a planned production increase in Q4 2027, targeting markets like HPC and graphics rendering. Bolt's Zeus GPU, initially introduced in 2025, aims to offer high performance and efficiency, with plans to utilize more advanced nodes for final production. The company's product pipeline exceeds $500 million, with significant interest from various stakeholders, though specific funding details remain undisclosed.
TSMC unveiled its process technology roadmap through 2029, introducing A12, A13, and N2U while pushing back A16 to 2027. The company emphasized a segmented strategy for nodes based on end-market requirements rather than a one-size-fits-all approach. A13 and N2U are geared towards client applications, offering incremental improvements and IP reuse, while A16 and A12 target AI and HPC applications with significant performance enhancements. Notably, A13 and A12 will not require High-NA EUV lithography tools, showcasing TSMC's innovative scaling approach.
We use cookies to ensure you get the best experience on our website. For more information on how we use cookies, please see our cookie policy.