MaaS 架构师

- Apply prefix caching and paged attention - Build inference gateway with model routing and traffic scheduling - Create unified inference load abstraction and service wrapper - Deploy quantized models - Design GPU autoscaling and resource scheduling - Design end to end model service architecture - Enable token level metering - Ensure production SLA latency and throughput - Implement KV cache aware scheduling - Implement observability for model services - Implement priority queue and multi tenant isolation - Optimize inference engines with continuous batching and speculative decoding - Select and tune single node inference framework