Collaboration Synthesis:Engineering India’s Open AI Future from Classroom to Cloud
Talkat DevConf.IN 2026 · on Saturday, 2026-02-14· at 10:00· Opening, Keynotes, Closing: Floor8 Terrace·
summary
Panelists argue India must move from AI consumers to builders, focusing on open source, smaller local models and production readiness. They cite 38,000+ GPUs on the national grid as a national compute push, note 70% of AI projects stuck in experimentation, and point to campus–industry labs where 16 of 25 student apps gain Apple approval and 3 commercialize. Key bottlenecks are inference costs, hybrid cloud/edge deployment, Kubernetes-based ops, and a talent gap between API users and engineers who can productionize models.
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chapters (10)
- 0:00Welcome
- 4:08India’s AI engineering vision
- 8:48Bridging academia-industry gaps
- 12:22Open vs proprietary AI models
- 17:04Preventing AI hype cycles
- 21:41Open source AI communities
- 25:16Current ground realities and opportunities in India
- 35:29AI leadership panel
- 41:43One-word AI plan
- 47:23Closing remarks
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