Tag

Build vllm aks deployment cluster on GPU node pools. Scale LLM inference using Prometheus monitoring, KEDA autoscaling, and optimized Azure infrastructure.

Aggressive quantization, small context windows, bad samplers explain why local llm dumber. Adjust parameters to restore reasoning.

Optimize ai visual memory architecture to stop OOM crashes. Scale visual context retention. Prevent runtime failures under heavy load.