S-LoRA: Multiplexing Thousands of Fine-Tuned Adapters on a Single GPU

S-LoRA: Multiplexing Thousands of Fine-Tuned Adapters on a Single GPU

How Unified Paging and scalable LoRA adapter serving allows cloud platforms to host 10,000+ custom fine-tuned models concurrently on a single GPU without OOM errors.

Executive Summary & Key Takeaways

Multi-Tenant Serving Challenge: Hosting thousands of custom fine-tuned LLMs natively requires independent base model instances, causing severe VRAM waste.

S-LoRA Architecture: Store a single shared base model in VRAM and dynamically multiplex thousands of small Low-Rank Adapters (LoRA).