Microsoft expands AKS with RAG functionality and vLLM supportMicrosoft enhances Azure Kubernetes Service with RAG support in KAITO, enabling advanced search capabilities for developers.vLLM serving engine improves processing speed for model inference workloads in Azure Kubernetes Service.
Evaluating vLLM With Basic Sampling | HackerNoonvLLM outperforms other models in handling higher request rates while maintaining low latencies through efficient memory management.
PagedAttention: An Attention Algorithm Inspired By the Classical Virtual Memory in Operating Systems | HackerNoonPagedAttention optimizes memory usage in language model serving, significantly improving throughput while minimizing KV cache waste.
The Distributed Execution of vLLM | HackerNoonLarge Language Models often exceed single GPU limits, requiring advanced distributed execution techniques for memory management.
How vLLM Prioritizes a Subset of Requests | HackerNoonvLLM utilizes FCFS scheduling and an all-or-nothing eviction policy to effectively manage resources and prioritize fairness in request handling.
Evaluating vLLM With Basic Sampling | HackerNoonvLLM outperforms other models in handling higher request rates while maintaining low latencies through efficient memory management.
PagedAttention: An Attention Algorithm Inspired By the Classical Virtual Memory in Operating Systems | HackerNoonPagedAttention optimizes memory usage in language model serving, significantly improving throughput while minimizing KV cache waste.
The Distributed Execution of vLLM | HackerNoonLarge Language Models often exceed single GPU limits, requiring advanced distributed execution techniques for memory management.
How vLLM Prioritizes a Subset of Requests | HackerNoonvLLM utilizes FCFS scheduling and an all-or-nothing eviction policy to effectively manage resources and prioritize fairness in request handling.