The Changing Shape of SoC Architecture: From Integration to Intelligence

The Changing Shape of SoC Architecture: From Integration to Intelligence The evolution of the system-on-chip (SoC) has always reflected the evolution of computation itself. From the first single-chip microcontrollers to today’s billion-transistor heterogeneous monsters, SoC design has moved through distinct eras – each driven by a dominant constraint: cost, power, performance, or lately, data movement […]
Read More

Verification for Tomorrow’s SoCs: Building Confidence from IP to System

Verification for Tomorrow’s SoCs: Building Confidence from IP to System The Purpose: Ensuring Real Confidence in Complex Systems Verification’s real purpose has never been about passing tests. It’s about building confidence-confidence that when an SoC boots for the first time, the hardware, firmware, and every handshake between IPs behave as intended. That purpose is now under […]
Read More

When AI Becomes More Than a Tool: Our Emotional Dependence on Chatbots

When AI Becomes More Than a Tool: Our Emotional Dependence on Chatbots AI isn’t just a calculator anymore—it’s increasingly becoming a confidant, advisor, or even a “digital spouse,” according to OpenAI users. Explore why this emotional reliance matters now more than ever. 1.  Emotional Bonds Run Deep—Stronger Than Expected Many users were emotionally devastated after […]
Read More

Chiplet Architectures in AI Accelerators: Breaking the Monolith

Chiplet Architectures in AI Accelerators: Breaking the Monolith Abstract The rise of artificial intelligence has created an insatiable demand for compute, memory, and scale. But the monolithic system-on-chip (SoC) approach that powered decades of semiconductor growth is reaching its physical and economic limits. Reticle boundaries, yield challenges, and thermal constraints make it increasingly impractical to […]
Read More

AI Attachment & Emotional Dependence

AI Attachment & Emotional Dependence 1.  Altman Reflects on Emotional Attachments to AI Attachment stronger than past tech OpenAI CEO Sam Altman openly acknowledged that some users form unusually strong attachments to specific AI models. He noted this emotional bond is unlike anything seen with earlier technologies—and admitted that abruptly deprecating familiar models (e.g., GPT-4o) […]
Read More

UALink and the Battle for Rack-Scale GPU Interconnect

UALink and the Battle for Rack-Scale GPU Interconnect Abstract Scaling AI workloads to tens of thousands of accelerators requires more than raw FLOPS — it requires the ability to connect GPUs into a coherent compute fabric. Nvidia has long dominated this domain with NVLink and NVSwitch, which provide high-bandwidth, low-latency interconnects tightly integrated into its […]
Read More

Ethernet Fabrics and the Rise of Open AI Networking

Ethernet Fabrics and the Rise of Open AI Networking Abstract Artificial intelligence has transformed datacenter architecture. The challenge today is not just how fast a single GPU can compute, but how efficiently tens of thousands of accelerators can work as one coherent, distributed system. For the past two decades, InfiniBand has dominated this role, offering […]
Read More

How Large Language Models Are Quietly Changing RTL Design?

How Large Language Models Are Quietly Changing RTL Design? RTL design has always been one of the most crucial – and complex – steps in digital chip development. It’s where an engineer takes a specification and expresses it in hardware behaviour using languages like Verilog or System Verilog. As chips become more advanced – especially […]
Read More