Deep Learning Dock

Deploy and Manage Deep Learning Models


Deep Learning Dock (DLD) is a machine learning operations (MLOps) platform that is highly specialized to efficiently deploy and manage deep learning models. DLD allows deep learning models developed with either Deep Learning Studio or other libraries like TensorFlow, MxNet, etc. to be put in production quickly, securely, and cost-efficient. DLD provides software for the entire lifecycle of the model, from integrating with the model generation, orchestration, and deployment, to health, diagnostics, governance, and business metrics.

Benefits of Automating Rate Confirmations

1) GPU Acceleration of Deployed Models

Deep Learning Dock fully supports GPU acceleration support. This ensures that your deployed models run efficiently.

2) Robust Enterprise-Grade Security

Our Enterprise version allows you to manage your deployments within your enterprise’s facility, increasing security.

3) On-Prem or Cloud Deployment

Deep Learning Dock can be used on-prem or in a private cloud. We fully support all major cloud providers including Amazon AWS, Google GCP, and Microsoft Azure.

Single Click Deployment via Deep Learning Studio​


When it comes to deep learning AI, real business value comes from deploying models into production. Only in production can a deployed model actually serve the business. And unfortunately, the path to production remains difficult for many companies. But with Deep Learning Dock, deployment is very simple. All you need is a single click to deploy the model. DLStudio models are currently supported. TensorFlow and MxNet model support is coming shortly.

Model to Web Application Without Coding

Deep Learning Studio can generate code to create a working Flask based web application from the model again this can be done with a single click. All the input and output source code is generated automatically.