Altos Computing Ltd (an Acer Group company) has partnered with Industry.AI to launch YodaEdge™, a secure edge AI platform designed to accelerate AI adoption across Indian manufacturing and infrastructure sectors. Announced on February 16, 2026, this collaboration brings real-time artificial intelligence directly to factory floors and industrial environments.
Powered by NVIDIA accelerated computing, YodaEdge™ targets manufacturers, MSMEs, and infrastructure operators seeking to operationalize AI at the point of action without cloud dependency or latency issues.
Why Edge AI Matters for Indian Industry
As India advances toward becoming a $7 trillion economy, manufacturing and MSMEs play critical roles in driving productivity, exports, and employment. However, AI adoption has been limited by cloud dependency, latency concerns, data security issues, and deployment complexity.
YodaEdge™ addresses these challenges through an edge-first, on-premises architecture delivering enterprise-grade AI capabilities with low latency, high reliability, and full control over sensitive operational data. This approach aligns with India’s priorities around data localization and technological self-reliance.
The platform integrates Industry.AI’s Orion industrial AI platform with Altos edge-optimized infrastructure servers, accelerated by NVIDIA GPUs and AI software. This pre-integrated “AI in a Box” solution allows enterprises to deploy advanced AI workloads locally, reducing reliance on distant cloud infrastructure.
Key Use Cases and Impact
| Use Case | Function | Impact |
|---|---|---|
| Computer Vision Safety | Real-time PPE & hazard detection | Up to 70% incident reduction |
| Predictive Maintenance | Machine behavior analysis | 50% downtime reduction |
| AI Knowledge Assistants | Instant SOP & manual access | Faster decision-making |
| MSME Deployment | Simplified AI implementation | Accessible to smaller enterprises |
YodaEdge™ supports computer vision-based safety monitoring for real-time detection of unsafe conditions and PPE non-compliance. Industry benchmarks indicate AI-led safety systems can reduce incidents by up to 70%.
The platform also offers predictive maintenance models that analyze machine behavior to reduce unplanned downtime by as much as 50%, plus AI-powered knowledge assistants providing instant access to standard operating procedures and historical maintenance data.
MSME Focus and Accessibility
India’s MSMEs contribute over 35% of GDP and nearly half of manufacturing output. YodaEdge™ specifically targets this segment by simplifying deployment, reducing implementation timelines, and delivering measurable ROI within operational cycles.
According to Priya Murthy, Director at Altos India, “India’s next phase of digital and industrial growth will depend on how effectively intelligence is embedded into physical infrastructure.” The Altos portfolio delivers data center-grade AI performance at the edge where latency, reliability, and security are critical.
Technical Architecture
YodaEdge™ runs on Altos workstations powered by NVIDIA accelerated computing, leveraging the NVIDIA AI software stack including CUDA, TensorRT, and NVIDIA NIM microservices. This architecture enables Physical AI use cases where AI systems interact directly with machines, sensors, and physical environments in real time.
Tejpreet Chopra, Founder and CEO of Industry.AI, explained that the platform is “built for exactly this reality” with proprietary machine language models and autonomous agents delivering real-time insights with enterprise-grade reliability and security.
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The Bottom Line
YodaEdge™ represents a practical approach to industrial AI adoption, addressing the specific challenges Indian manufacturers face. By bringing intelligence to the edge rather than depending on cloud infrastructure, the platform enables real-time decision-making while maintaining data sovereignty.
As deployments expand across manufacturing clusters and critical infrastructure, this partnership positions YodaEdge™ as a foundational AI platform for India’s next phase of industrial growth, moving organizations from reactive operations to intelligence-driven decision-making.
