A personal PR-review extension.

Standardized Serverless ML Inference Platform on Kubernetes

A framework for efficient model inference with omni-modality models

Virtualized Elastic KV Cache for Dynamic GPU Sharing and Beyond

Span Queries: What if we had a way to plan and optimize GenAI like we do for SQL?

Main Kagenti repo - installer, UI and docs

GenAI inference performance benchmarking tool

Incubating P/D sidecar for llm-d

llm-d benchmark scripts and tooling

A lightweight, configurable, and real-time simulator designed to mimic the behavior of vLLM without the need for GPUs or running actual heavy models.

Helm charts for llm-d

Inference scheduler for llm-d

Achieve state of the art inference performance with modern accelerators on Kubernetes

Distributed KV cache scheduling & offloading libraries

Gateway API Inference Extension

A high-throughput and memory-efficient inference and serving engine for LLMs

A high-performance distributed file system designed to address the challenges of AI training and inference workloads.

vLLM’s reference system for K8S-native cluster-wide deployment with community-driven performance optimization

LangChain for Go, the easiest way to write LLM-based programs in Go

GUI tool for visualizing the result data of deBruijn sequence complexity distribution study

KubeStellar - a flexible solution for multi-cluster configuration management for edge, multi-cloud, and hybrid cloud

the main repository for the multicluster global hub