How to provision a POWER-based GPU server with IBM Visual Insights on your own Virtual Private Cloud (VPC) and build a deep learning image classification model.

This blog post is an excerpt from a recently published solution tutorial that walks you through provisioning a dedicated backend virtual server instance (VSI) of IBM Visual Insights (previously PowerAI Vision) in IBM Cloud Virtual Private Cloud (VPC) through IBM Cloud Schematics

Once provisioned, you will upload an image data set and train, deploy, and test an optimized deep learning (image classification) model through a GPU on the VSI. You will also deploy a frontend web application through IBM Cloud Schematics to a new VSI on the same IBM Cloud VPC. Once deployed, you will upload an image for classification by communicating with the backend-deployed model exposed an an API.

IBM Visual Insights

Videos and images have become one of the most interesting data sets for artificial intelligence. In particular, deep learning is being used to create models for computer vision, and you can train these models to let your applications recognize what an image (or video) represents.

IBM Visual Insights is the new name for the product formerly called IBM PowerAI Vision. It is a new generation video and image analysis platform that offers built-in deep learning models that learn to analyze images and video streams for classification and object detection. IBM Visual Insights includes tools and interfaces that allow anyone with limited skills in deep learning technologies to get up and running quickly and easily. And, because IBM Visual Insights is built on open source frameworks for modeling and managing containers, it delivers a highly available platform that includes application life-cycle support, centralized management and monitoring, and support from IBM. 

As part of the latest release, IBM Visual Insights added support for multiple platforms, including x86-based GPU servers, in addition to the existing support for POWER-based GPU servers. IBM Visual Insights also delivers edge solutions through an iOS application called IBM Visual Inspector that can be downloaded on iOS devices.

Architecture

IBM Cloud Schematics delivers Terraform-as-a-Service so that you can use a high-level scripting language to model the resources that you want in your IBM Cloud environment and enable Infrastructure-as-Code (IaC).

Objectives

Following the instructions in the tutorial, you will achieve the following objectives:

  • Use Schematics to deploy a virtual server instance running IBM Visual Insights on Power CPU in IBM Cloud VPC.
  • Train and test an image classification model.
  • Augment the VPC environment by deploying an image classification application to a new virtual server instance.

Get started

For step-by-step instructions, check out the solution tutorial. 

Categories

More from Cloud

IBM Tech Now: October 2, 2023

< 1 min read - ​Welcome IBM Tech Now, our video web series featuring the latest and greatest news and announcements in the world of technology. Make sure you subscribe to our YouTube channel to be notified every time a new IBM Tech Now video is published. IBM Tech Now: Episode 86 On this episode, we're covering the following topics: AI on IBM Z IBM Maximo Application Suite 8.11 IBM NS1 Connect Stay plugged in You can check out the IBM Blog Announcements for a…

IBM Cloud inactive identities: Ideas for automated processing

4 min read - Regular cleanup is part of all account administration and security best practices, not just for cloud environments. In our blog post on identifying inactive identities, we looked at the APIs offered by IBM Cloud Identity and Access Management (IAM) and how to utilize them to obtain details on IAM identities and API keys. Some readers provided feedback and asked on how to proceed and act on identified inactive identities. In response, we are going lay out possible steps to take.…

IBM Cloud VMware as a Service introduces multitenant as a new, cost-efficient consumption model

4 min read - Businesses often struggle with ongoing operational needs like monitoring, patching and maintenance of their VMware infrastructure or the added concerns over capacity management. At the same time, cost efficiency and control are very important. Not all workloads have identical needs and different business applications have variable requirements. For example, production applications and regulated workloads may require strong isolation, but development/testing, training environments, disaster recovery sites or other applications may have lower availability requirements or they can be ephemeral in nature,…

IBM accelerates enterprise AI for clients with new capabilities on IBM Z

5 min read - Today, we are excited to unveil a new suite of AI offerings for IBM Z that are designed to help clients improve business outcomes by speeding the implementation of enterprise AI on IBM Z across a wide variety of use cases and industries. We are bringing artificial intelligence (AI) to emerging use cases that our clients (like Swiss insurance provider La Mobilière) have begun exploring, such as enhancing the accuracy of insurance policy recommendations, increasing the accuracy and timeliness of…