An Indian Platform for Local, Real-Time AI
EdgeAIIndia is an Indian resource and solutions platform for edge AI — the hardware that runs AI on-site, computer vision on existing cameras, offline AI for low-connectivity sites, and the deployment work that ties them together.
Edge AI Hardware and Deployment — Delivered as Infrastructure
EdgeAIIndia brings together hardware selection, AI deployment and on-site architecture so that organisations can run intelligence where their data is created — at their own sites.
- Edge AI hardware — appliances and servers sized to the application
- Offline and private edge AI — inference that keeps running, and keeps data, on-site
- Computer vision — turning existing camera networks into AI sensors
- AI inference appliances — dedicated hardware for on-site AI workloads
- Edge AI deployment — from a single-site pilot to multi-site rollout
Infrastructure-firstHow We Approach Every Deployment
Four principles that stay the same whether the project is one appliance in one store or a multi-site rollout.
Workload First
Hardware is selected for the application — never the reverse. The workload defines the platform, not the other way around.
Vendor-Neutral
NPU, GPU, integrated AI SoC and accelerator options are evaluated across platforms — without locking you to a single chip or model vendor.
Privacy-Aware
Architectures designed to keep sensitive data on premises — with cloud used only where, and when, you decide it helps.
Built for Indian Operations
Designed for real sites, real connectivity conditions and real budgets — not just ideal data-centre conditions.
Guides Written From the Deployment Side
The EdgeAIIndia Learning Center is written by the EdgeAIIndia Editorial Team — the people who plan and deploy edge AI systems — for decision-makers evaluating local AI in India.
- Every guide shows its published and last-updated dates
- Technical claims are linked to manufacturer, standards-body or project documentation
- We don't publish benchmark numbers we haven't measured
- Corrections are made openly and the update date changes
Commercial disclosure
EdgeAIIndia designs and supplies edge AI deployments. Our guides are educational and vendor-neutral, but they are published by a business that sells edge AI solutions — so when a guide describes the kind of system we deploy, we say so.
No vendor pays for placement in our guides, and we don't use affiliate links.
What an Engagement Looks Like
A structured path from workload to working local AI — the same five stages on every project.
Understand the Workload
Identify the AI application, data source and performance requirements.
Select the Hardware
Choose CPU, NPU, GPU or accelerator according to the workload.
Deploy the AI Stack
Install Linux, drivers, AI runtime, containers and required models.
Integrate Your Data
Connect cameras, sensors, documents, network systems or business applications.
Run AI Locally
AI inference operates on your edge infrastructure — on your terms.
Built for Indian Sites, Environments and Budgets
Edge AI only creates value if it works in the environment it is deployed in. EdgeAIIndia focuses on practical deployments across the places Indian organisations actually operate.
From a single appliance at one site to coordinated multi-site infrastructure — the platform approach stays the same.
Practical deploymentsHave an edge AI workload? Let's find the right hardware for it.
Tell us what you want AI to analyse on-site — cameras, machines, sensors or another workload — and we'll help map the infrastructure.