Standalone GPUs are being replaced by heterogeneous SoCs and chiplets that combine CPUs, GPUs, and NPUs to eliminate memory ...

Yu Ma. As AI-driven workloads continue to push the boundaries of compute scale, power efficiency, and bandwidth density, ...

PCIe remains a critical technology for non-AI processing. For AI, PCIe will be strengthened by scale-out, agentic AI, and ...

The verification gap emerges not from a lack of computational power but from the multiphysics nature of 3D-IC behavior.

Ayar Labs and Wiwynn A CPO link is in one direction from the driving laser through the optical engine (OE) on the XPU, ...

A new architecture enables higher data rates and densities while remaining pin-compatible with traditional DIMM.

How agents can be used to divide and conquer IC design problems.

As AI models drive compute demand, servers keep getting bigger. Rack‑scale AI systems (such as the 72-GPU systems from NVIDIA or AMD) enable many GPUs to work together through system-level ...

Researchers from National Yang Ming Chiao Tung University (NYCU) and Chung Yuan Christian University have published “A Cross-Validated DSPN and Worst-Case Response-Time Framework for Timing Analysis ...

“Practical requirements such as improving wall-plug efficiency and reducing system footprint have become increasingly important with the introduction of extreme ultraviolet (EUV) lithography into high ...

Reliable performance at higher data rates requires tight coordination between clocking, power delivery, and system-level management.