<ul><li>Niyama is a QoS-driven inference serving system that enables efficient co-scheduling of diverse workloads on shared infrastructure.</li><li>Existing LLM serving frameworks rely on siloed infrastructure, resulting in operational inefficiencies and over-provisioning.</li><li>Niyama introduces fine-grained QoS classification and a dynamic chunking mechanism to improve serving capacity by 32% compared to current deployments.</li><li>Under extreme load, Niyama reduces SLO violations by an order of magnitude compared to current strategies.</li></ul>

Niyama : Breaking the Silos of LLM Inference Serving

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