On-Device Intelligence – Redefining AI/LLMs for Healthcare Applications
19 November 2025
Sagar Makhija (Tech Lead – Software, Decos) showcased how on-device intelligence and locally hosted LLMs are revolutionizing AI-driven healthcare. Moving AI to the edge—on devices or hospital servers—boosts speed, privacy, compliance, and reliability for critical workflows.
Highlights:
- On-device AI: Eliminates cloud dependency, enables secure real-time inference, even offline.
- Compliance & Security: HIPAA/GDPR-ready architecture for instant decision support.
- Models & Performance: Practical use of 2B–4B quantized models on Android, tablets, and servers; guidance on model selection and tuning.
- Integration: Hybrid setups with on-device and GPU-powered servers for scalability.
- Business Case: Lower TCO, enhanced security, independence from third-party clouds.
Key Takeaways
- On-device AI = Private, fast, compliant intelligence
- Local models enable real-time decision support
- Quantized LLMs run on low-RAM devices
- Hybrid architecture ensures scalability for hospitals
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