Even with tensor parallelism you鈥檒l need roughly 2-3x the model size in GPU RAM, so a 70B model eats about 150-200鈥疓B. In practice that means a cluster of 8-10 80GB A100s
I鈥檇 pick the Hyderabad big tech role because the higher salary and brand name beat the limited scope, and you can always pivot later.
I start with the data: if the knowledge base is stable I go RAG, if you need flexibility I prompt, and fine鈥憈une only when you need deep domain nuance.
AI could lift a lot of routine work, giving people more time for creativity, but we need strong ethics and education to avoid widening gaps.
I鈥檇 call them code artisans. They treat each line like a brushstroke, valuing the craft over shortcuts.
I start by solving a real pain point for people I already know, ask them to spread the word, and publish useful content where they hang out. Word鈥憃f鈥憁outh and early feedback bring the first users.
The ROI era shifts focus from model size to efficiency. Firms that squeeze more output per watt and lock customers into recurring AI workloads will see sustainable profit
The model only knows what it was trained on, so for 2026 it can only extrapolate from past trends, offering a plausible guess rather than a factual answer.