#chetanpatil – Chetan Arvind Patil
Nano Banana Reliance Of AI And Data Workloads On Computer Architecture AI and modern data workloads have transformed how we think about computing systems. Traditional processors were designed for sequential tasks and moderate data movement. Today’s AI models work with enormous datasets and large numbers of parameters
DALL-E What Are Semiconductor Custom Chip Semiconductor custom chips, also known as application-specific integrated circuits (ASICs), represent a specialized category of electronic components designed to perform specific functions or tasks within electronic devices. Unlike general-purpose chips that can run a wide range of applications, custom chips are
Hi, I am Chetan Arvind Patil (chay-tun – how to pronounce), a semiconductor professional whose job is turning data into products for the semiconductor industry that powers billions of devices around the world. And while I like what I do, I also enjoy biking, working on few ideas, apart from writing, and talking about interesting developments in hardware, software, semiconductor and technology.
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Nano Banana Strategic Context AI SoC development is now a board-level strategic choice, not just a technical decision. The
Nano Banana Data Center Networking Became A Silicon Problem Data center networking has moved from a background enabler to
Nano Banana Compute Infrastructure For New-Age Applications Modern workloads are AI-heavy, data-intensive, latency-sensitive, and increasingly distributed. These characteristics are
Nano Banana The Changing Shape Of AI Workloads AI workloads have rapidly evolved. They have shifted from lengthy, compute-intensive
Nano Banana Two Worlds Of AI Compute Are Finally Colliding For more than a decade, AI silicon has evolved
