Design a Large Language Model Serving Platform — System Design Interview Practice
Design a scalable platform that serves large language models (LLMs) for inference, handles concurrent requests, manages GPU resources efficiently, and provides low-latency responses with streaming support. Work through the requirements, architecture trade-offs, and an interactive design review.
Requirements and concepts to consider
- Serve multiple LLM variants simultaneouslyRequirement
- Handle concurrent inference requestsRequirement
- Stream token-by-token responsesRequirement
- Manage GPU memory efficientlyRequirement
- Support model hot-swappingRequirement
- Implement request batching for throughputRequirement
- Provide rate limiting and quota managementRequirement
- Monitor latency, throughput, and GPU utilizationRequirement
- aiConcept to explore
- llmConcept to explore
- gpuConcept to explore
- inferenceConcept to explore
- servingConcept to explore
- transformersConcept to explore