AI Without the Cost: Rethinking Intelligence for a Constrained World
STEM Practice presents at Impact Summit India 2026 on how domain-specific small language models deliver enterprise AI on CPU-only infrastructure — without the cost, complexity, or carbon footprint of GPU-heavy approaches.
STEM Practice was invited to present at Impact Summit India 2026 on rethinking how organizations deploy artificial intelligence. The talk challenges the prevailing assumption that enterprise AI requires massive GPU clusters, instead demonstrating how domain-specific small language models (SLMs) can achieve superior accuracy on standard CPU infrastructure.
Key Takeaways
- 100% accuracy in ICD medical coding using STEM’s CordiCoder solution with zero hallucinations — validated by Tata Elxsi
- CPU-only infrastructure eliminates the need for expensive GPU clusters while maintaining production-grade performance
- Domain-specific SLMs outperform general-purpose large language models in regulated enterprise use cases
- Sovereign deployment keeps sensitive data within organizational and jurisdictional boundaries
- Energy-efficient AI dramatically reduces the carbon footprint of enterprise intelligence systems