Summary of Alto: An Efficient Network Orchestrator For Compound Ai Systems, by Keshav Santhanam et al.
ALTO: An Efficient Network Orchestrator for Compound AI Systems
by Keshav Santhanam, Deepti Raghavan, Muhammad Shahir Rahman, Thejas Venkatesh, Neha Kunjal, Pratiksha Thaker, Philip Levis, Matei Zaharia
First submitted to arxiv on: 7 Mar 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Computation and Language (cs.CL); Distributed, Parallel, and Cluster Computing (cs.DC); Information Retrieval (cs.IR)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary ALTO is a network orchestrator designed to efficiently serve compound AI systems, such as pipelines of language models. By exploiting an optimization opportunity specific to generative language models, ALTO achieves high throughput and low latency by streaming intermediate outputs between stages when possible. The system tackles two new challenges: correctness and load balancing, emerging when streaming intermediate data across distributed pipeline stage instances. To address these challenges, ALTO introduces an aggregation-aware routing interface and distributed prompt-aware scheduling. Evaluation on a complex chatbot verification pipeline demonstrates the impact of partial output streaming, increasing throughput by up to 3x for a fixed latency target of 4 seconds per request while reducing tail latency by 1.8x compared to a baseline serving approach. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary ALTO is a new way to help AI systems work together more efficiently. It does this by allowing intermediate results from language models to be shared between different parts of the system, rather than waiting until everything is finished. This helps reduce the time it takes for complex tasks to complete and makes the system faster overall. |
Keywords
» Artificial intelligence » Optimization » Prompt
