ModeSwitch-LLM: A Lightweight Phase-Aware Controller for Cross-Mode LLM Inference on a Single GPU
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Computer Science > Machine Learning
arXiv:2605.23057 (cs)
[Submitted on 21 May 2026]
Title:ModeSwitch-LLM: A Lightweight Phase-Aware Controller for Cross-Mode LLM Inference on a Single GPU
View a PDF of the paper titled ModeSwitch-LLM: A Lightweight Phase-Aware Controller for Cross-Mode LLM Inference on a Single GPU, by Aman Sunesh and 2 other authors
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Abstract:ModeSwitch-LLM is a lightweight request-boundary controller for improving single-GPU large language model inference efficiency by routing each request to an appropriate fixed inference mode. Instead of relying on one static serving configuration, the system selects among FP16, quantized modes, speculative decoding, and hybrid modes such as GPTQ plus prefix caching and INT8 plus continuous batching using cheap workload-level features. We evaluate ModeSwitch-LLM on Meta-Llama-3.1-8B-Instruct served on a single NVIDIA A100 GPU. On deployment-style synthetic workloads, the online controller achieves a 2.10x mean latency speedup over FP16 and a 0.48x mean energy ratio, corresponding to 51.7% lower energy per token. On automatic benchmarks used as a quality gate, accuracy remains close to FP16 with a mean delta of +0.17 percentage points. We also evaluate lightweight learned routers, but find that they do not clearly outperform the rule-based controller because they add routing overhead and more often select modes that violate quality, energy, or memory constraints. These results show that simple request-aware routing can recover substantial efficiency from existing inference modes without retraining the model or changing its architecture.
| Comments: | 10 pages main text, 11 pages including references, 5 figures, 3 tables. Preprint |
| Subjects: | Machine Learning (cs.LG); Computation and Language (cs.CL); Performance (cs.PF) |
| Cite as: | arXiv:2605.23057 [cs.LG] |
| (or arXiv:2605.23057v1 [cs.LG] for this version) | |
| https://doi.org/10.48550/arXiv.2605.23057
arXiv-issued DOI via DataCite (pending registration)
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View a PDF of the paper titled ModeSwitch-LLM: A Lightweight Phase-Aware Controller for Cross-Mode LLM Inference on a Single GPU, by Aman Sunesh and 2 other authors
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