llm-d
llm-d
llm-d is a Kubernetes-native high-performance distributed LLM inference framework
United States of America
MLSys and MLOps Community
MLSysOps
A community of engineers who enjoy building practical AI projects.
Chelly_EGOIST
zclyne
EE@SJTU -> CS@Columbia
Software Engineer at Bloomberg LP
Bloomberg LP New York, NY
Kai-Hsun Chen
kevin85421
SWE @ Anyscale | KubeRay maintainer | Ray committer | Apache Submarine PMC
@apache @anyscale United States
Open Cluster Management
open-cluster-management-io
A set of resources to help make the problem of working with many Kubernetes clusters, easier.
Devarsh
devarsh10
I am Devarsh Shah. I am a DevOps Guy. I believe in learning in public and learning by doing. I am a final-year undergraduate, and I am excited to contribute.
Ahmedabad, Gujarat, India.
KWOK CI
kwok-ci
Building artifacts and experimental work for KWOK(Kubernetes WithOut Kubelet)
Kubernetes
Daytona
daytonaio
Daytona is a Secure and Elastic Infrastructure for Running AI-Generated Code.
New York
Haosheng Zou (邹昊晟)
HaoshengZou
LLM alignment@360,
prev.@miHoYo & 4Paradigm.
PhD@THU, advised by Prof. Jun Zhu.
360 Beijing
Yihua Cheng
ApostaC
CTO @ TensorMesh
Core developer at @LMCache and vllm-project/production-stack
United States
Inferless
inferless
Building World's most reliable Serverless GPU Inference Offering. In Private Beta
India
Woosuk Kwon
WoosukKwon
CS PhD student at UC Berkeley, building @vllm-project
University of California, Berkeley Berkeley, CA
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