HybridInfer: Thermal-Aware Reinforcement-Learning Tier Routing for On-Device, Edge, and Cloud LLM Inference
cs.LG
Submitted: 2026-07-14
Updated: 2026-07-14
Code: https://github.com/mlc-ai/mlc-llm
Terminology
Sources
- FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance
- Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing
- RouteLLM: Learning to Route LLMs with Preference Data
- ConsRoute:Consistency-Aware Adaptive Query Routing for Cloud-Edge-Device Large Language Models
- EACO-RAG: Towards Distributed Tiered LLM Deployment using Edge-Assisted and Collaborative RAG with Adaptive Knowledge Update
- EnerInfer: Energy-Aware On-Device LLM Inference
- Router-R1: Teaching LLMs Multi-Round Routing and Aggregation via Reinforcement Learning
- SeqRoute: Global Budget-Aware Sequential LLM Routing via Offline Reinforcement Learning
- XR Offloading Across Multiple Time Scales: The Roles of Power, Temperature, and Energy
- TAPAS: Thermal- and Power-Aware Scheduling for LLM Inference in Cloud Platforms
- Understanding Large Language Models in Your Pockets: Performance Study on COTS Mobile Devices
- lm-Meter: Unveiling Runtime Inference Latency for On-Device Language Models
- The Llama 3 Herd of Models
- GPT-4o System Card
- Nomic Embed: Training a Reproducible Long Context Text Embedder
Related papers
- Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
- AIRL-S: Unifying Reinforcement Learning and Search-Based Test-Time Scaling via Adversarial Inverse Reinforcement Learning
- Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation
- Convergence issues in Relational Concept Analysis based on AOC-posets
- Beliefs Beyond Posteriors: Local-Consistency Optimisation for Bayesian Neural Networks
- Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks