AI Infrastructure
AI infrastructure and compute ecosystem
Articles
Hardware-Software Co-Design in the AI Era: A 2026 Perspective⭐9
Hardware-software co-design is reshaping AI computing by 2026, enabling domain-specific architectures, chiplets, and AI-driven design automation for faster, eff...
AI Data Centers Have a Power Hoarding Problem⭐9
AI data centers hoard far more power than they use, straining grids and delaying clean energy. Here's why it happens and how to fix the problem in 2026.
Chip Industry Technical Paper Roundup: September 14 — Key⭐8
Weekly semiconductor paper roundup: AI accelerators, chiplets, automotive electronics, advanced packaging, and low-power design advances for 2026.
Characterizing Charge Components in TMD-Based MOS Structures⭐9
Researchers from imec, KU Leuven, and ASM characterize charge components in TMD-based MOS structures, examining interface traps and fixed oxide charge critical ...
Reducing HBM ECC Controller Overhead for AI Inference⭐10
HBM ECC adds bandwidth and latency overhead for AI inference. Learn how on-die ECC and smarter controller design reduce that cost in high-bandwidth AI accelerat...
Heterogeneous Memory Chiplets Accelerate Multi-Request LLM⭐9
NUS researchers propose heterogeneous memory chiplets that combine high-bandwidth, high-capacity, and near-memory compute to accelerate multi-request LLM infere...
Hardware Information-Flow Tracking for Pre-Silicon Security⭐8
Hardware information-flow tracking helps pre-silicon security teams catch data leaks before tape-out. Research from Princeton, MIT, and EPFL advances IFT for se...
Validation Gets Tested at 1kW: Power Demands Reshape Silicon⭐9
As AI chips push past 1kW TDP, silicon validation teams face new power delivery, thermal, and signal integrity challenges. Here's how validation labs are adapti...
Silent Data Errors Redefine Test Coverage and Fleet Maintenance⭐9
Silent data errors are reshaping semiconductor test coverage and fleet maintenance. Learn how SDEs impact chip reliability and why new strategies are essential.
Token Costs Become the New EDA Budget Battleground⭐8
Token-based pricing for AI features in EDA tools is becoming a budget concern, pushing chip designers to optimize usage as costs rival traditional software lice...