tensorflow kubernetes

Learning notes TF064: TensorFlow Kubernetes, tf064tensorflow AlphaGo: each experiment has 1000 nodes and each node has 4 GPUs and 4000 GPUs. Siri: 2 nodes and 8 GPUs for each experiment. AI research relies on massive data computing, instead of performance computing resources. The larger cluster running model shortens the weekly training time to the day-level hour level.

: -xxx.xxx.xxx.xxx　　3. Submit to K8sKubectl create-f Xxx.yaml4. View status#>kubectl Get ServiceNAME cluster-ip external-ip PORT (S) AgeInception-service xxx.xxx.xxx.xxx xxx.xxx.xxx.xxx 9900/tcp 8m#>kubectl Get DeploymentNAME desired current up-to-date AVAILABLE ageInception-deployment 2 2 2 2 3h5. Conduct the testRun a Docker container to access the deployed serviceDocker Run--rm-it Tensorflow-serving:latest/bin/bash#>cd Serving#>./bazel-bin/tenso

the API, and thanks to TensorFlow's good design, We implemented the Cloud machine learning service based on Kubernetes and TensorFlow serving, and the architecture design and usage interfaces are similar to Google Cloud ml. TensorFlow is a very good framework for deep learning, for individual developers, researchers have enterprises are worth investing in the te

Guide:Kubernetes a ride on the dust to open, then the enterprise should start to kubernetes migration? Under what circumstances do you really accept it? Some of the technology frontier companies first-step practice is probably the most persuasive and reference value. This article is a good reference.1Kubernetes now rage, it is part of a massive cloud-native movement. All major cloud providers use it as a solution for deploying cloud-native application

The Kubernetes network model is made up of four parts from inside to outside: The network where the pod interior container resides The network where the pod resides Network for communication between pod and service Network of communication between outside and service It is recommended that you understand the network model of Docker before reading this article. Refer to the author's first two articles [

Background:Kubernetes Introduction: http://kubernetes.io/docs/getting-started-guides/GitHub Address: Https://github.com/kubernetes/kubernetesInstall the documentation on Ubuntu official address: http://kubernetes.io/docs/getting-started-guides/ubuntu/Environment: Master: Ubunut14.04 192.168.27.135 (NAT) Minion1: Ubuntu14.04 192.168.27.136 (NAT) Minion2: Ubuntu14.04 192.168

What is 1.1 kubernetes?First, it is a new, container-based, distributed architecture leading solution. is an open source version of Google's Borg (large-scale cluster management system).Second, if the system design follows the Kubernetes design idea, then the traditional system architecture and business does not have much to do with the underlying code or function modules (such as load balancing, service se

Concept GroomingIn order to solve the above-mentioned problem, Kubernetes does not need to find a way, after all, is the network security level of the problem, every service will encounter problems, the industry has a mature solution to solve. Here we look at industry scenarios and related concepts. Symmetric encryption/Asymmetric encryptionThese two concepts belong to cryptography, which is not easy to understand for the students who have n

Description: Use the Grafana official plugins (Grafana-kuberneres-app) Link Prometheus show kubernetes informationNote: All monitoring-related information is placed on the Namespace=monitorGithub:https://github.com/grafana/kubernetes-app1, Installation PrometheusProm-rbac.yamlapiVersion: rbac.authorization.k8s.io/v1beta1kind: ClusterRolemetadata: name: prometheus namespace: monitorrules:- apiGroups: [""]

Use Kubernetes to manage containers on centos 71. Preface The previous section describes the Kubernetes system architecture, which gives you a preliminary understanding of Kubernetes. However, you may not know how to use Kubernetes. This article describes how to deploy and configure the network environment of the

Kubernetes container cluster management system basic explanation, kubernetes Management SystemKubernetes Overview Kubernetes is open-source by GoogleContainer Cluster Management SystemIs an open-source version of Google's large-scale container management technology Brog, which includes the following features: Container-based application deployment, maintenance,

NetworkingKubernetes supports for Third-party netwroking the cluster via the MLM plugin. For more infromation, please see Cluster Networking.According to this Chinese blog, Principles and Solutions of Kubernetes Networking from Yourongyun the three top of the MLM Pro Viders for kubernetes cluster based on VMs is Project Calico, flannel, Weave Net.And also, here is comparison of variable networking solution

TensorFlow Learning Notes 4: Distributed TensorFlow Brief Introduction The TensorFlow API provides cluster, server, and supervisor to support distributed training of models. The distributed training introduction about TensorFlow can refer to distributed TensorFlow. A simpl

! [K8s-install] (https://raw.githubusercontent.com/opsnull/follow-me-install-kubernetes-cluster/master/images/ Dashboard-home.png) "And I step-by-Step deployment kubernetes cluster" since its release, by the Kubernetes community long-time enthusiasts attention, raised a lot of questions and suggestions (see Github issues), very happy to bring you help! Previous v

Kubernetes Basic Primer-Installation Deployment Configuration ExampleDeploying Kubernetes SkydnsKubernetes can provide DNS internal domain name resolution services for pods.Its main function is to provide pods with the ability to resolve the IP directly through the service's name to the corresponding service!1. First add the options in the Kubelet process for each node:kubelet_args= "--cluster_dns=10.254.0.

Kubernetes v1.10----Deployment Kubernetes-dashboard v1.831. Download Kubernetes-dashboard yaml file#因为文件中的image指定的是谷歌, so you cannot deploy directly using applywget Https://raw.githubusercontent.com/kubernetes/dashboard/master/src/deploy/recommended/kubernetes-dashboard.yaml

1. Download and install Anaconda1.1 downloadDownload the Linux version from Anaconda official website (https://www.continuum.io/downloads)https://repo.continuum.io/archive/(Recommended python3.5)1.2 InstallationCD ~/downloadssudo bash anaconda2-5.0.1-linux-x86_64.sh (download the corresponding version of Python2.7 here)Ask if you want to add the Anaconda bin to the user's environment variable and select yes!Installation is complete.2. Install tensorflow2.1 set up

This article starts with my public number clouddeveloper, and you are welcome to join me in learning cloud computing. During the Ming Dynasty, Emperor Chengzu Zhu Di, in order to develop overseas trade and establish his prestige, sent Zheng He seven voyages, set the ancient China's largest, the most ships (more than 240 ships), the most seafarers (27,000 people), the longest time, than the European countries sailing time of half a century earlier ocean voyage feat.

other service program in the cluster.The following two code snippets show how to configure different tasks on the local ports 2222 and 2223. # In task 0:cluster = tf.train.ClusterSpec({"local": ["localhost:2222", "localhost:2223"]})server = tf.train.Server(cluster, job_name="local", task_index=0) # In task 1:cluster = tf.train.ClusterSpec({"local": ["localhost:2222", "localhost:2223"]})server = tf.train.Server(cluster, job_name="local", task_index=1) Note: manual configuration of task nodes is

outside. Depending on the application scenario, Kubernetes offers 3 types of service. Clusterip: Only internal access, random allocation of local ports, default type; Nodeport: external access to Regardless of the type of service, its functionality is actually implemented by the Kube-proxy component. Kube-proxy currently has two ways to achieve it: userspace and iptables. Userspace is in user space, through the Kube-proxy to implement LB proxy servi