AUTHOR
Ravi Kapoor
Models & Infrastructure Editor
Ravi follows foundation models, inference platforms and the rise of regional AI ecosystems. His work examines performance alongside language coverage, deployment control and cost.
Email Ravi →Experience and editorial focus
He has covered cloud infrastructure and open-source software across multiple technology cycles.
Areas of expertise
- Foundation models
- Open-source AI
- Inference platforms
LATEST WORK
Articles by Ravi Kapoor
The model race is becoming local, multilingual and sovereign
Sarvam’s open 30B and 105B models ignited a broader conversation about who builds a country’s AI layer—and whether global benchmarks capture the languages and workflows that matter locally.
7 min read →AI ModelsWhat an open-model breakthrough actually changes
A strong benchmark score can earn attention overnight. The harder questions are whether a model can be inspected, deployed affordably and trusted on the tasks that matter outside a leaderboard.
8 min read →IndustryAI hardware gets a second chance at the edge
The next AI device wave is less interested in novelty gadgets and more focused on on-device models, robotics and specialized computers that can respond without a permanent cloud round trip.
8 min read →AI ToolsSeven open-source AI projects worth knowing
The most useful open AI stack is larger than any one model. These seven projects cover model access, local runtime, high-throughput serving, routing, interfaces and agent workflows.
9 min read →AI ModelsSmall models are moving AI from the cloud onto devices
On-device language models trade frontier-scale breadth for low latency, privacy and zero per-request cloud cost. That makes them a different product primitive, not merely a smaller benchmark entry.
9 min read →