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TensorFlow container image to run Machine Learning ML models

A TensorFlow container image for running machine-learning models on AKS or any OCI-compatible runtime. Delivered as a CNAB/Helm-based Azure container offer: the Azure portal deploys it onto your AKS cluster with managed-identity integration. Published and maintained by DC Associates Group: freshly rebuilt against current security advisories and deployable straight from the Azure Marketplace into your own subscription.

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Version: TensorFlowPlatform: AKS (Kubernetes)Ports: cluster-internal (Kubernetes services)Category: Kubernetes Apps (AKS)

What's included

  • TensorFlow packaged as a Kubernetes application (Helm chart)
  • Deploys through the Azure portal onto your own AKS cluster
  • Images pinned by digest and vulnerability-scanned before publishing
  • Runs entirely inside your cluster — your network, your governance

Quick start

  1. Open the offer in the Azure Marketplace and select Get It Now → Create.
  2. Pick your AKS cluster (managed identity enabled) or create a new one, and choose a namespace.
  3. Review + create: the portal installs the Helm-based application onto your cluster.
  4. Verify with `kubectl get pods -n <namespace>` once deployment completes.

Common use cases

  • Production deployment on your own AKS cluster
  • Kubernetes-native scaling and upgrades
  • Cluster consolidation of self-hosted services

Why our images

Freshly rebuilt against the latest security advisories, no shared default credentials, Trusted Launch support, and automatic OS security updates — everything runs in your own Azure subscription under your governance.

Need help?

Product support page
support@dcassociatesgroup.com
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Deploy TensorFlow container image to run Machine Learning ML models in minutes

Production-ready, hardened, and maintained. Deploy straight from the Azure Marketplace into your subscription.

Get it on Azure Marketplace Deploy on Azure