May 2026 ~35 min read TTS · LLM Inference · GPU Benchmarking · Docker This is a complete teardown of three production TTS systems — architecture, benchmarking, deployment errors, fixes, and real numbers from an NVIDIA H100 SXM. It is written to be readable whether you have never heard of a spectrogram or you have […]
The Problem: Network Planning at the Speed of Spreadsheets with Agents + MCP Picture a network planning team at a large service provider. They’re tasked with validating a major network expansion—adding new PE routers, upgrading existing links, and ensuring the network can survive multiple failure scenarios. The stakes? Customer SLAs, millions in potential revenue, and […]
If you happen to look at Large Language Model. You ask a question to it, for example “how much earth weighs?”, LLMs like chatgpt-3 or 4, Claude (from Anthropic), Mistral will respond back with below response fig 1. User Query interaction with Large Language Model The Earth weighs approximately 5.972 × 1⁰²⁴ kilograms (or […]
How a Transformer with Attention Works? I am not going to talk about how attention works here. Because I am not a youtuber who can explain attention in 30seconds shorts. I strongly feel explaining attention in single blog is near impossible tasks. To understand how the real world attention (Multi head attention) works someone needs […]