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Artificial Intelligence
In engineering development, automated code generation as a pair programming assistant is high on the list of targets for GenAI applications. For hardware design obvious targets would be to autogenerate custom RTL functions or variants on standard functions, or to complete RTL snippets as an aid to human-driven code generation.… Read More
We are in the midst of one of the most transformative periods for data center infrastructure. The explosion of AI, cloud-scale workloads, and hyperscale networking is forcing rapid innovation not only in compute and storage, but in the very fabric that connects them. At the recent Hot Chips conference, Pat Fleming gave a talk on… Read More
For decades, high-performance CPU design has been dominated by traditional out-of-order (OOO) execution architectures. Giants like Intel, Arm, and AMD have refined this approach into an industry standard—balancing performance and complexity through increasingly sophisticated schedulers, speculation, and runtime … Read More
The evolution of hyperscale data center infrastructure to support the processing of trillions of parameters for large language models has created some rather substantial design challenges. These massive processing facilities must scale to hundreds of thousands of accelerators with highly efficient and fast connections.… Read More
By now everyone knows that AI has become the all-consuming driver in tech and that NVIDIA GPU-based platforms are the dominant enabler of this revolution. Datacenters worldwide are stuffed with such GPUs, serving AI workloads from automatically drafting emails and summarizing meetings to auto-creating software and controlling… Read More
GenAI is certainly changing the world. Every day there are new innovations in the use of highly trained models to do things that seemed impossible just a short while ago. As GenAI models take on more tasks that used to be the work of humans, there is always a nagging concern about accuracy and bias. Was the data used to train the model … Read More
I have seen a flood of verification announcements around directly reading product specs through LLM methods, and from there directly generating test plans and test suite content to drive verification. Conceptually automating this step makes a lot of sense. Carefully interpreting such specs even today is a largely manual task,… Read More
The march toward higher-speed networking continues to be guided by the same core objectives as has always been : increase data rates, lower latency, improve reliability, reduce power consumption, and maintain or extend reach while controlling cost. For the next generation of high-speed interconnects, these requirements … Read More
PDF Solutions has been around for over 30 years. The company began with a focus on chip manufacturing and yield. Since the beginning, PDF Solutions anticipated many shifts in the semiconductor industry and has expanded its impact with enhanced data analytics and AI. Today, the company’s impact is felt from design to manufacturing,… Read More
Agentic AI refers to goal-driven software entities—“digital coworkers”—that can plan, decide, and act on an organization’s behalf with minimal supervision. Unlike classic chatbots or coding assistants that respond only to prompts, agentic systems combine models (e.g., LLMs) with memory, planning, tools/APIs, sensing,… Read More
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Intel’s Pearl Harbor Moment