HBM4E Raises The Bar For AI Memory Bandwidth


The pace of AI innovation continues to expose a painful reality. Compute keeps scaling, but memory bandwidth remains one of the hardest bottlenecks to remove. As AI models grow larger and more complex, feeding data fast enough into accelerators has become just as critical as raw compute capability. High Bandwidth Memory (HBM) has been central to solving this challenge, and the next step in that... » read more

Human-Centered Agentic AI Comes To RTL Verification


For decades, productivity gains in electronic design automation (EDA) came from better engines. Faster solvers, higher-capacity simulators, and more scalable formal tools allowed design and verification teams to keep pace as designs grew larger. That model is no longer sufficient. Today’s design and verification bottleneck is not raw tool performance, but the coordination overhead required... » read more

CPO Is Extending The Limits Of What’s Possible In AI Data Centers


Key Takeaways I/O architecture must be co-designed with compute from day one. Partitioning SoCs into heterogeneous chiplets (compute, EIC, PIC, lasers) directly affects power delivery, floor-planning, interconnect topology, and system scalability. Successful CPO designs require architects to think in multi-physics terms, balancing electrical signaling, thermal stability, optical beha... » read more

Rethinking Voice AI At The Edge: A Practical Offline Pipeline


Cloud-based AI dominates the headlines, but responsive and private interaction lies at the edge. This blog post shows how to build a fully offline, real-time voice assistant using the Arm-based NVIDIA DGX Spark platform. The system integrates open-source components such as faster-whisper and vLLM. It delivers low-latency, human-like dialogue without sending data outside the local environment. ... » read more

Serial Wire Debug (SWD) Protocol: Efficient Debug Interface For Arm-Based Systems


Modern embedded systems are becoming increasingly compact, power efficient, and feature rich. As SoCs integrate more functionality, developers need reliable debug access without increasing pin count or board complexity. Serial Wire Debug (SWD) addresses these needs by providing a streamlined alternative to JTAG, enabling high performance debug features using only two pins, making it ideal for t... » read more

AI Power on the Edge


Key takeaways Power and thermal become primary design considerations, not just optimizations. Hardware architectures need to be developed from the ground up. Hardware/software/model co-development is essential. Implementing AI on the edge is driven by a different set of metrics than training or even inference in the cloud. It makes power a first-class citizen, if not the mos... » read more

Scale Up, Scale Out Get a New Partner


Key Takeaways: Three AI data center scaling strategies are scale-up, scale-out, and scale-across. Scale-up is within a rack; scale-out is between racks; scale-across is between data centers. Each of the three uses a different interconnect strategy to optimize either latency or jitter. As today’s data center workloads — especially for AI and HPC — outgrow the physical, ... » read more

Customizing Foundation IP For Ultra-Low-Voltage Designs


By Daryl Seitzer, Andrew Appleby, and Mohammad Tanveer Building a new system-on-chip (SoC) starts with assembling the right foundational elements—pre‑verified IP for logic, memory, I/O, and other essential functions. Standard IP solutions typically address most common design needs, but some projects call for more specialized approaches, especially when innovation is critical or when t... » read more

Accelerating 4D Imaging Radar with Vision 4DR


4D imaging radar enhances automotive sensing by adding elevation to traditional range, velocity, and azimuth measurements. This enables better target detection and classification, enabling safer driving decisions. Multiple input multiple output (MIMO) antenna technology has expanded the role of radar sensing from tracking moving targets to high-resolution imaging of the surroundings. High... » read more

Security in Data Centers for AI Applications


AI data centers are the engines of the new data revolution, transforming data lakes and extracting meaningful insights guided by user queries. In this white paper, we revisit the security problem and highlight that AI data centers pose specific risks whose impact extends far beyond initial expectations. Starting from the premise that the AI is “only as good as the data that comes in/out”, w... » read more

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