Sujee Maniyam
Developer Advocate @ Nebius
San Jose, California, United States
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Sujee Maniyam is a Developer Advocate at Nebius, with a background spanning AI, distributed systems, data engineering, and cloud infrastructure. Outside of work, he is usually on a local pickleball court. You can find more of his work at [sujee.dev](https://sujee.dev/)
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Using coding agents with open models
Coding agents such as Cursor and Claude Code are fundamentally changing software development workflows. Most teams, however, still rely primarily on proprietary frontier models.
In this demo-driven session, I will show how to pair modern coding agents with high-performance open models running on Nebius Token Factory, with a focus on developer experience, model behavior, considerations relevant to production use.
Attendees will receive platform credits for getting started immediately with open-model-powered coding agents.
Optimizing Open Models for Production Grade Inference
Open-source foundation models are rapidly closing the gap with proprietary systems, enabling organizations to build powerful AI applications with greater flexibility and control. However, deploying these models in production introduces a new set of challenges: latency, throughput, scalability, and cost efficiency.
In this talk, we’ll explore the modern inference optimization techniques that power large-scale AI systems in production. Topics include KV cache optimization, cache-aware routing, prefill/decode disaggregation, speculative decoding, and other emerging approaches used to improve performance and reduce infrastructure costs.
Through practical examples and real-world architecture patterns, attendees will gain a deeper understanding of how to run open models efficiently at scale.
Sujee Maniyam
Developer Advocate @ Nebius
San Jose, California, United States
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