Tags
Inference
LLM Engineering (5): Inference Optimization
KV cache mechanics, paged attention, continuous batching, speculative decoding, INT8/INT4/AWQ/GPTQ quantization, and the vLLM vs SGLang vs TensorRT-LLM tradeoffs.
Aliyun PAI (4): PAI-EAS — Model Serving, Cold Starts, and the TPS Lie
End-to-end PAI-EAS for production: image-based deploy from OSS-mounted weights, the three inference modes, an autoscaler that doesn't blow your budget, and canary releases via service groups. Includes a working vLLM …

