ORBITFLOW: Supercharging Long-Context LLMs for Blazing-Fast Performance!
Published:Jan 19, 2026 05:00
•1 min read
•ArXiv AI
Analysis
ORBITFLOW is revolutionizing long-context LLM serving by intelligently managing KV caches, leading to significant performance boosts! This innovative system dynamically adjusts memory usage to minimize latency and ensure Service Level Objective (SLO) compliance. It's a major step forward for anyone working with resource-intensive AI models.
Key Takeaways
- •ORBITFLOW uses a smart ILP solver to optimize KV cache placement on GPUs, dynamically adapting to changing memory needs.
- •The system dramatically improves SLO attainment and reduces latency spikes in long-context LLM serving.
- •ORBITFLOW offers significant performance gains compared to existing offloading methods, increasing throughput substantially.
Reference
“ORBITFLOW improves SLO attainment for TPOT and TBT by up to 66% and 48%, respectively, while reducing the 95th percentile latency by 38% and achieving up to 3.3x higher throughput compared to existing offloading methods.”