Alchip Technologies Ltd., a global leader in high-performance computing (HPC) and artificial intelligence (AI) ASIC design and production services, continues its trajectory of rapid growth and technical leadership by pushing the boundaries of advanced-node silicon, expanding its global design capabilities, and building… Read More
Author: Kalar Rajendiran
Alchip’s Technology and Global Talent Strategy Deliver Record Growth
Leveraging Common Weakness Enumeration (CWEs) for Enhanced RISC-V CPU Security
As RISC-V adoption accelerates across the semiconductor industry, so do the concerns about hardware security vulnerabilities that arise from its open and highly customizable nature. From hardware to firmware and operating systems, every layer of a system-on-chip (SoC) design must be scrutinized for security risks. Unlike… Read More
Intel’s Foundry Transformation: Technology, Culture, and Collaboration
Intel’s historical dominance in semiconductor process technology began to erode around 2018, as competitors started delivering higher performance at smaller nodes. In response, Intel is now doubling down on innovation across two fronts: advanced process nodes such as Intel 18A and 14A, and cutting-edge packaging technologies.… Read More
Intel’s Path to Technological Leadership: Transforming Foundry Services and Embracing AI
Intel, long a leader in semiconductor manufacturing, is on a determined journey to reclaim its technological leadership in the industry. After facing significant challenges in recent years, the company is making a concerted effort to adapt and innovate, with a clear focus on AI-driven technologies, advanced packaging solutions,… Read More
Scaling AI Infrastructure with Next-Gen Interconnects
At the recent IPSoC Conference in Silicon Valley, Aparna Tarde gave a talk on the importance of Next-Gen Interconnects to scale AI infrastructure. Aparna is a Sr. Technical Product Manager at Synopsys. A synthesis of the salient points from her talk follows.
The rapid advancement of artificial intelligence (AI) is fundamentally… Read More
The Growing Importance of PVT Monitoring for Silicon Lifecycle Management
In an era defined by complex chip architectures, ever-shrinking technology nodes and very demanding applications, Silicon Lifecycle Management (SLM) has become a foundational strategy for optimizing performance, reliability, and efficiency across the lifespan of a semiconductor device. Central to effective SLM are Process,… Read More
Designing and Simulating Next Generation Data Centers and AI Factories
At NVIDIA’s recent GTC conference, a Cadence-NVIDIA joint session provided insights into how AI-powered innovation is reshaping the future of data center infrastructure. Led by Kourosh Nemati, Senior Data Center Cooling and Infrastructure Engineer from NVIDIA and Sherman Ikemoto, Sales Development Group Director from … Read More
How Cadence is Building the Physical Infrastructure of the AI Era
At the 2025 NVIDIA GTC Conference, CEO Jensen Huang delivered a sweeping keynote that painted the future of computing in bold strokes: a world powered by AI factories, built on accelerated computing, and driven by agentic, embodied AI capable of interacting with the physical world. He introduced the concept of Physical AI—intelligence… Read More
Synopsys Executive Forum: Driving Silicon and Systems Engineering Innovation
The annual SNUG (Synopsys Users Group) conference, now in its 35th year, once again brought together key stakeholders to showcase accomplishments, discuss challenges, and explore opportunities within the semiconductor and electronics industry. With approximately 2,500 attendees, SNUG 2025 served as a dynamic hub for collaboration… Read More
Evolution of Memory Test and Repair: From Silicon Design to AI-Driven Architectures
Memory testing in the early days of computing was a relatively straightforward process. Designers relied on simple, deterministic approaches to verify the functionality of memory modules. However, as memory density increased and systems became more complex, the likelihood of faults also rose. With advancements in memory… Read More
cHBM for AI: Capabilities, Challenges, and Opportunities