Introduction For decades, automation has promised efficiency, scale, and precision. Robot economics shows that in many real-world scenarios, humans still outperform robots in flexibility, decision-making, and cost effectiveness, especially in early stages. Although, according to industry reports from the International Federation of Robotics (IFR), automation adoption continues to accelerate globally. McKinsey Global Institute highlights that…
I attended NVIDIA GTC 2026 last week, where I explored the future of AI infrastructure firsthand. The NVIDIA Vera Rubin Superchip stood out as the most important innovation, redefining how AI data centers are built and scaled. In this blog, I break down its architecture, specs, and real-world deployment based on what I observed. The…
Encoding. Encrypting. Transporting over HTTP.Receiving. Decrypting. Decoding. Rendering to surface. Syncing audio. At scale. I’ve had the privilege of shipping software that has run on 100M+ devices globally, from set-top boxes, IoT hubs / sensors, automotive ECUs, 5G network CPEs to deeply embedded Linux systems. A good portion of that work was in the media…
This blog is Part 3 in our Nvidia GPU blog series. In Parts 1 and 2, we explored the fundamentals of NVIDIA GPU architecture: from CUDA cores to streaming multiprocessors (SMs) and warp schedulers. Today, we transition into what sets modern NVIDIA GPUs apart-the Tensor Cores and Ray Tracing (RT) Cores-two hardware innovations that fuel…
Modern NVIDIA GPUs are feats of hierarchical design, optimized to maximize parallelism, minimize latency, and deliver staggering computational throughput. Building upon Part 1, which introduced the high-level architecture of NVIDIA GPUs, this is Part2 – a Deep dive into GPU Compute Hierarchy: Graphics Processing Clusters (GPCs), Texture Processing Clusters (TPCs), Streaming Multiprocessors (SMs), and CUDA…
Since the groundbreaking 2017 paper “Attention is All You Need” introduced the Transformer architecture, the field of artificial intelligence has undergone a rapid and transformative evolution. This blog post will explore the chronology of important events that have shaped the AI landscape, leading up to the current era of Large Language Models (LLMs) and agentic…
About 2018 when I started working on Machine learning I took many courses. Here are my hand written notes on Neural Networks and ML course by Andrew Ng. It focuses on the fundamental concepts covered in the course, including Logistic Regression, Neural Networks, and Softmax Regression. Buckle up for some equations and diagrams! Part 1:…