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ADOPTERS.md

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Adopters Of GPUShare Scheduler

Below are the adopters of project GPUShare Scheduler. If you are using GPUShare to improve the GPU utilization in Kubernetes, please feel free to add yourself into the following list by a pull request. There're several phases as follow:

  • Evaluation: Known GPUShare Scheduler, that's interesting; evaluating the features/scopes of GPUShare Scheduler
  • Testing: Take GPUShare Scheduler as one of candidates, testing Kubernetes cluster with GPUShare Scheduler
  • Staging: Decide to use GPUShare Scheduler, testing it in pre-product environment
  • Production: Already put GPUShare Scheduler into product environment
Organization Contact Phases Description of Use
JianPei @lisongtao716 Testing Medical image analysis
Unisound @xieydd Testing Unisound ATLAS AI Training Platform
Bytedance @ryzzn Testing Render Platform
TIANCHI @gaoxiaos Staging AI Competition Platform
TAL AI @asas12350 Production AI Inference Service Platform
HuyaTech @BobLiu20 Production HUYA AI Platform
QTT BigData @OopsOutOfMemory Production QTT AI Platform
Taobao @zxthunter Production NU Algorithm Deployment Platform
Heuritech @heuritech Production AI Inference for Fashion
AliyunIoT @falltodis Production IoT Edge AI Platform
Jiangsu Telecom @yangyuliufeng Production AI Platform on k8s
Aliyun Industry Brain @xlk23 Production EPIC Platform
Weibo @phoenixwu0229 Production Weibo ML Platform
Zuo Ye Bang @xkos Production AI Platform on k8s
Hellobike @gwl-wolf Production AIBrain Platform
Gomo @cxxx Production Image conversion
Qihoo 360 @70data Production Private Cloud Platform on K8s
DIDI @tongchao199 Production AI Experimental Environment Service
AI Inference Service
Mango TV @ftx0day Production Mango CloudNative AI Platform