#chetanpatil – Chetan Arvind Patil
Nano Banana Two Worlds Of AI Compute Are Finally Colliding For more than a decade, AI silicon has evolved along two independent trajectories. On one side sat throughput-optimized architectures built to train massive models across thousands of accelerators. These prioritize raw FLOPS, memory bandwidth, and scaling efficiency.
Nano Banana What Computer Architecture Is And Why It Matters Computer architecture defines a computing system’s structure, component interaction, and trade-offs for performance, efficiency, cost, and reliability at scale. Architecture balances instruction sets, microarchitecture, memory hierarchies, and system-level design to meet workload requirements. Instruction encoding, pipeline depth,
DALL·E From Node-Centric To Workload-Centric For more than five decades, semiconductor innovation revolved around a single pursuit: shrinking transistors. Each new process node promised higher density, lower cost per function, and faster circuits. This node-centric model powered the industry through its golden era, making smaller equivalent to
Photo by Cristiano Firmani on Unsplash In 2010, Intel launched a new architecture-based solution for the high-end workstations. Codenamed Intel Xeon Phi Knights Ferry. It was a co-processor that would allow faster processing and training due to the massively parallel thread and memory level optimization with the help of multiple
Photo by Artiom Vallat on Unsplash In computer architecture, computing (compute), memory, and interconnect are the three main components of a computer system and are thus critical in CPU, GPU, and XPU design. These three pillars determine the speed and efficiency of the system. The faster these three blocks are,
Photo by Alex wong on Unsplash The applications that run on silicon architecture are constantly evolving. Today, these architectures are more compute and memory intensive than ever before. It also means that the users of these applications are processing more data and thus demand the lowest latency possible. In reality,
Photo by Jason Leung on Unsplash THE REASONS TO DEVELOP CUSTOM SEMICONDUCTOR CHIP IN-HOUSE As technology is progressing and touching every aspect of day-to-day life, the dependence on semiconductor solutions is also growing. These solutions are often made by semiconductor companies and can power several things from sensors to a
Photo by Laura Ockel on Unsplash THE NEED FOR SEMICONDUCTOR POWERED XPU Every software application eventually has to get executed on a hardware system. Whether the software application is running on a smartphone or a data center, the data processing request has to get decoded (binary instructions) before the hardware
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.
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. In other words, share generously but provide attribution.
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
