Tag: GPU

2 articles

• Multi-LoRA Production Practices: Stable Multi-Tenant Inference with Adapter Caching and Hot/Cold Tiering

  A systematic guide to Multi-LoRA serving in production: adapter caching, hot/cold tiering, rank-aware scheduling, eviction strategies, and deployment checks to stably serve hundreds of custom LoRA adapters under GPU memory constraints.

  07/01/2026 LLM Serving / LoRA / Inference / GPU / Multi Tenant / Adapter Cache / vLLM

• Continuous Batching in Production: Boosting LLM Serving Throughput with Dynamic Batching

  A systematic guide on how Continuous Batching improves LLM inference throughput via iteration-level scheduling, covering static batching pain points, scheduling mechanics, KV Cache constraints, key parameters, monitoring metrics, and deployment pitfalls.

  07/01/2026 LLM Serving / Continuous Batching / Inference Optimization / GPU / vLLM