Predictable Latency in ML Inference Scheduling
Analysis
This research explores a crucial aspect of deploying machine learning models: ensuring consistent performance. By focusing on inference scheduling, the paper likely addresses techniques to minimize latency variations, which is critical for real-time applications.
Key Takeaways
- •Addresses the challenge of latency in ML inference.
- •Focuses on scheduling techniques for improved predictability.
- •Potentially relevant for real-time applications where consistent performance is key.
Reference
“The research is sourced from ArXiv, indicating it is a pre-print of a scientific publication.”