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Google AI Platform

Create your AI applications once, then run them easily on both GCP and on-premises
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What is Google AI Platform?

Makes it easy for machine learning developers, data scientists, and data engineers to take their ML projects from ideation to production and deployment, quickly and cost-effectively.
Google AI Platform is a tool in the Machine Learning as a Service category of a tech stack.

Who uses Google AI Platform?

Companies

Developers

Google AI Platform Integrations

Google Cloud Storage, Google BigQuery, TensorFlow, Google Cloud Dataflow, and Kubeflow are some of the popular tools that integrate with Google AI Platform. Here's a list of all 5 tools that integrate with Google AI Platform.

Why developers like Google AI Platform?

Here’s a list of reasons why companies and developers use Google AI Platform
Top Reasons
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Google AI Platform's Features

  • “No lock-in” flexibility
  • Supports Kubeflow
  • Supports TensorFlow
  • Supports TPUs
  • Build portable ML pipelines
  • on-premises or on Google Cloud
  • TFX tools

Google AI Platform Alternatives & Comparisons

What are some alternatives to Google AI Platform?
Azure Machine Learning
Azure Machine Learning is a fully-managed cloud service that enables data scientists and developers to efficiently embed predictive analytics into their applications, helping organizations use massive data sets and bring all the benefits of the cloud to machine learning.
Amazon Machine Learning
This new AWS service helps you to use all of that data you’ve been collecting to improve the quality of your decisions. You can build and fine-tune predictive models using large amounts of data, and then use Amazon Machine Learning to make predictions (in batch mode or in real-time) at scale. You can benefit from machine learning even if you don’t have an advanced degree in statistics or the desire to setup, run, and maintain your own processing and storage infrastructure.
Amazon SageMaker
A fully-managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale.
NanoNets
Build a custom machine learning model without expertise or large amount of data. Just go to nanonets, upload images, wait for few minutes and integrate nanonets API to your application.
Amazon Elastic Inference
Amazon Elastic Inference allows you to attach low-cost GPU-powered acceleration to Amazon EC2 and Amazon SageMaker instances to reduce the cost of running deep learning inference by up to 75%. Amazon Elastic Inference supports TensorFlow, Apache MXNet, and ONNX models, with more frameworks coming soon.
See all alternatives

Google AI Platform's Followers
8 developers follow Google AI Platform to keep up with related blogs and decisions.
Mohamma76685757
Slava Kurilyak
max vasilevskis
Lam Quang
bankon meos
Krishnan Subramanian
MohammadAsh15
Daniel Hartmann