Manufacturing
10 articlesEngineering Copilots and PLM: On-Prem GPU Planning for Design Data
Engineering knowledge sits in CAD, PLM records, drawings and standards, not in prose. Building a copilot over it is a multimodal retrieval problem with a hard confidentiality constraint, which is…
Quality Inspection at Line Rate: Latency Budgets and Edge GPU Choice
Line-rate inspection is a deadline problem, not a throughput problem. Parts per minute sets a hard cycle time, and every stage from trigger to reject actuator must fit inside it.…
Synthetic Data for Industrial Vision: GPU Budgets and Sim-to-Real
Defect detection fails on rare defects because you cannot photograph what has not happened yet. Synthetic generation renders the defect classes you lack, but the GPU budget sits in rendering,…
Time-Series Foundation Models for Predictive Maintenance: Sizing the Stack
Pretrained time-series models now forecast machine behaviour zero-shot, with reported throughput above 300 forecasts per second on a single GPU. That removes the per-asset training burden that stalled most Indian…
Physical AI in Indian Factories: GPU Planning for Robotics Pilots
Physical AI needs three distinct compute tiers: simulation for training policies, a training cluster for the models, and edge inference on the robot. Indian manufacturers including Ola Electric and Wipro…
Manufacturing Vision AI Edge GPU Deployment Playbook
Deploying vision AI at manufacturing edge sites requires matching GPU memory bandwidth to real-time inference latency budgets, designing for thermal and power constraints on the factory floor, and embedding data-governance…
Shop-Floor Copilots: On-Prem RAG for Maintenance and SOP Knowledge
An industrial copilot is domain RAG over SOPs, manuals and maintenance history with voice and multilingual support for the floor. A 2-4 GPU per-plant server carries the load; the real…
Digital Twins and Physical AI: GPU Planning for Indian Factories
A digital-twin programme is three GPU estates: RTX workstations for authoring, batch servers for synthetic data and robot-policy training, and ruggedised edge inference on the line. Indian lighthouse projects validate…
Manufacturing Vision AI GPU Server Playbook
This playbook outlines how to select, configure, and deploy GPU servers for computer‑vision workloads in manufacturing, covering latency targets, storage pipelines, inference scaling, and compliance with NIST AI RMF and…
AI Infrastructure for Manufacturing: Vision + Predictive Maintenance (India)
Indian manufacturers have moved AI from pilot to plant floor: GPU-powered computer vision drives zero-defect quality control, and machine-learning models predict equipment failure before it happens. Because these run at…