Making Hybrid Bonding Better


Key Takeaways Fab processes are optimizing for cleanliness, planarity, and high bond quality. Nanotwinned copper and SiCN PVD enable lower anneal and deposition temperatures for HBM. A thin, protective layer helps preserve the Cu/dielectric during aggressive processes. The future of semiconductor manufacturing is no longer dependent just on shrinking features. Instead, chipm... » read more

Router-in-a-Package Design Combining HBM4, Chiplets and In-Package Optics (Technion, Berkeley, UCSD)


A new technical paper "Scaling Routers with In-Package Optics and High-Bandwidth Memories" was posted by researchers at Technion, UC Berkeley and UC San Diego. Abstract "This paper aims to apply two major scaling transformations from the computing packaging industry to internet routers: the heterogeneous integration of high-bandwidth memories (HBMs) and chiplets, as well as in-package optic... » read more

AI Inference Needs A Mix-And-Match Memory Strategy


AI inference is no longer a single workload that can be served efficiently by a single type of accelerator or memory. From fast chat replies to 10M token codebases, inference spans wildly diverse workloads with very different limits on latency, bandwidth, capacity, and compute, as the figure below demonstrates.1 Source: Meta1 The AI inference spectrum of workloads includes: Inter... » read more

Automated High-Speed Interface Routing in Multi-Die Designs


2.5D and 3D Multi-die design is revolutionizing chip integration by enabling thousands of high-speed connections between dies (also called chiplets). Discover how close placement of dies boosts bandwidth, minimizes latency, and maximizes data throughput. Read this white paper to find out about the importance of interconnectivity planning and die-to-die signal routing for successful m... » read more

HBM4 Sticks With Microbumps, Postponing Hybrid Bonding


The next generation of high-bandwidth memory, HBM4, was widely expected to require hybrid bonding to unlock a 16-high memory stack. A JEDEC move made that unnecessary with this generation, but it’s merely a postponement, not a cancellation. HBM has been in high demand for AI in data centers — especially for training. Data movement dominates energy consumption, and high-bandwidth memories... » read more

Four Architectural Opportunities for LLM Inference Hardware (Google)


A new technical paper titled "Challenges and Research Directions for Large Language Model Inference Hardware" was published by Google. Abstract "Large Language Model (LLM) inference is hard. The autoregressive Decode phase of the underlying Transformer model makes LLM inference fundamentally different from training. Exacerbated by recent AI trends, the primary challenges are memory and in... » read more

Study Of HW Acceleration for Neural Networks (Arizona State Univ.)


A new technical paper titled "Hardware Acceleration for Neural Networks: A Comprehensive Survey" was published by researchers at Arizona State University. Abstract "Neural networks have become a dominant computational workload across cloud and edge platforms, but their rapid growth in model size and deployment diversity has exposed hardware bottlenecks that are increasingly dominated by mem... » read more

Reliability Extension Architecture For Cost-Effective HBM (RPI, ScaleFlux, IBM TJ Watson)


A new technical paper titled "Making Strong Error-Correcting Codes Work Effectively for HBM in AI Inference" was published by researchers at Rensselaer Polytechnic Institute, ScaleFlux and IBM T.J. Watson Research Center. Abstract "LLM inference is increasingly memory bound, and HBM cost per GB dominates system cost. Current HBM stacks include short on-die ECC that tightens binning, raise... » read more

Chip Industry’s Top Videos 2025


Rising complexity, new architectures, and AI's permeation of nearly everything left engineers struggling to keep up in 2025, as evidenced by this year's viewership numbers. Among the hottest topics were verification, agentic AI, DRAM/HBM, optimization of data movement, chiplets, and heterogeneous integration, but there was steady traffic growth across all sectors. Top 10 most-watched videos ... » read more

High Bandwidth Memory (HBM): Everything You Need To Know


In an era where data-intensive applications, from AI and machine learning to high-performance computing (HPC) and gaming, are pushing the limits of traditional memory architectures, High Bandwidth Memory (HBM) has emerged as a high-performance, power-efficient solution. As industries demand faster, higher throughput processing, understanding HBM’s architecture, benefits, and evolving role in ... » read more

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