#计算机科学#Machine Learning Toolkit for Kubernetes
翻译 - Kubernetes的机器学习工具包
#计算机科学#A guideline for building practical production-level deep learning systems to be deployed in real world applications.
翻译 - 建立在实际应用中部署的实际生产级深度学习系统的指南。
#计算机科学#PipelineAI
翻译 - PipelineAI Kubeflow分布
cube studio开源云原生一站式机器学习/深度学习/大模型AI平台,支持sso登录,大数据平台对接,notebook在线开发,拖拉拽任务流pipeline编排,多机多卡分布式训练,超参搜索,推理服务VGPU,边缘计算,标注平台,自动化标注,大模型微调,vllm大模型推理,llmops,私有知识库,AI模型应用商店,支持模型一键开发/推理/微调,支持国产cpu/gpu/npu芯片,支持RDMA...
#计算机科学#Standardized Serverless ML Inference Platform on Kubernetes
#计算机科学#Machine Learning Pipelines for Kubeflow
翻译 - Kubeflow的机器学习管道
#计算机科学#Elyra extends JupyterLab with an AI centric approach.
翻译 - Elyra以AI为中心的方法扩展了JupyterLab笔记本。
#大语言模型#Distributed ML Training and Fine-Tuning on Kubernetes
#大语言模型#Automated Machine Learning on Kubernetes
#计算机科学#Unified Interface for Constructing and Managing Workflows on different workflow engines, such as Argo Workflows, Tekton Pipelines, and Apache Airflow.
DoEKS is a tool to build, deploy and scale Data & ML Platforms on Amazon EKS
#计算机科学#Kubeflow’s superfood for Data Scientists
Kubernetes Operator for MPI-based applications (distributed training, HPC, etc.)
#计算机科学#Distributed Machine Learning Patterns from Manning Publications by Yuan Tang https://bit.ly/2RKv8Zo
#计算机科学#deployKF builds machine learning platforms on Kubernetes. We combine the best of Kubeflow, Airflow†, and MLflow† into a complete platform.
#计算机科学#👩🔬 Train and Serve TensorFlow Models at Scale with Kubernetes and Kubeflow on Azure
Kubernetes Guide. Learn all about Kubernetes monitoring, networking, and containers. Whether you're running Kubernetes Locally or in the Cloud ( Azure, AWS, and GCP).