#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
#计算机科学#Helmut Hoffer von Ankershoffen experimenting with arm64 based NVIDIA Jetson (Nano and AGX Xavier) edge devices running Kubernetes (K8s) for machine learning (ML) including Jupyter Notebooks, TensorFlo...