#chetanpatil – Chetan Arvind Patil
Nano Banana The Changing Shape Of AI Workloads AI workloads have rapidly evolved. They have shifted from lengthy, compute-intensive training runs to an ongoing cycle. This cycle includes training, deployment, inference, and refinement. AI systems today are expected to respond in real time, operate at scale, and
Nano Banana The End Of Architectural Consensus The semiconductor industry is undergoing a fundamental architectural break. For over 50 years, general-purpose computing has prevailed thanks to software portability, transistor-driven scaling, and the absence of workloads that demanded radical alternatives. That era is over. With Moore’s Law slowing
Photo by Robert Linder on Unsplash Modular supercomputing semiconductor is a type of architecture that enables the use of multiple processors in a single system. It provides high speed, low latency, and high throughput for applications that require large amounts of data processing. This type of architecture allows for the
Photo by Alex Motoc on Unsplash The computing industry relies on semiconductor products to enable faster processing. And, to drive real-time processing semiconductor industry has to keep innovating. This two-way hand-shake reliance has grown over the last decade (due to new software demand) and will only grow more in the
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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Opinions expressed here are my own and may not reflect those of others. Unless I am quoting someone, they are just my own views.
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
