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Barathkanna

132 karma · joined July 13, 2024

Founder & CEO of Cyborg Network — building distributed AI inference infrastructure for real-time machine-to-machine applications. I work at the intersection of edge computing, low-level systems, GPU optimization, and blockchain-backed integrity.

Currently experimenting with ways to make AI deployment as seamless as web deployment. Also building Oxlo, a global platform that lets developers launch and test AI models on GPU instances (free tier for small models, like Vercel but for AI).

Background in Rust, Substrate, Linux systems, and computer vision pipelines. Focused on building practical infrastructure that scales — from decentralized edge nodes to secure on-prem inference for smart cities.

Always interested in discussing: distributed compute, model serving, real-time AI, hardware acceleration, and deep-tech company building.

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Ask HN: How are people forecasting AI API costs for agent workflows?

5 pts·Barathkanna·
23

Show HN: Oxlo.ai – AI APIs with unlimited tokens and request based pricing

oxlo.ai·1 pts·Barathkanna·
1

Ask HN: How do you budget for token based AI APIs?

1 pts·Barathkanna·
4

Ask HN: Is token-based pricing making AI harder to use in production?

3 pts·Barathkanna·
7