Pricing score

8.9

Google Cloud AutoML Pricing Profile

Cloud AutoML is a suite of machine learning products that enables developers with limited machine learning expertise to train high-quality models specific to their business needs, by leveraging Google's state-of-the-art transfer learning, and Neural Architecture Search technology

Key Takeaways

Custom Model Creation

Google Cloud AutoML allows users to build custom models tailored to their specific needs, from image recognition to text analysis, without needing to write complex code. It automates much of the model training process, including data preprocessing, feature engineering, and hyperparameter tuning.

AutoML Vision

For image classification and object detection tasks, allowing you to train models for custom image recognition without needing to be an expert in computer vision.

Data Labeling

AutoML Data Labeling helps in labeling large datasets by using active learning to prioritize the most uncertain data points for human review. It also integrates with Google Cloud Storage for storing and managing datasets securely and efficiently.

Product Overview

Google Cloud AutoML is a suite of machine learning (ML) products that enables developers to create custom, high-quality models without requiring deep knowledge of ML. Built on Google’s TensorFlow and Google Cloud AI technologies, AutoML simplifies the process of training, optimizing, and deploying custom models for tasks like image classification, natural language processing (NLP), and structured data analysis.

AutoML is designed to make machine learning more accessible for businesses and developers who may not have specialized expertise in data science or ML but still want to leverage the power of custom AI models for their specific use cases.

INSIGHTS

Our insights about Red Hat pricing

01

Free trial

02

Pricing information is not publicly available

03

$300 in free credits and 20+ always free products

Available Pricing Models

How much does Google Cloud AutoML cost?

Google Cloud AutoML does not publicly disclose its pricing on its website, as costs can vary based on factors like company size, the products selected, and specific requirements. You can estimate your costs with our pricing calculator or contact us to get a quote for your organization.

What users say about Google Cloud AutoML pricing

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Verified User in Information Technology and Services

That has a lot of services and I especially like the logging.

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Verified User in Military

The tool has facilitate the creation of machine learning models that we use in other applications.

avatar

Verified User in Information Technology and Services

Traditionally the major problem with ml apis have been that the services have been too generic for enterprise use. Automl enables us to finally use ml api services in an enterprise context by tailoring the results to the specific use case needs.

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Ravi P.

Google AutoML kit is one of the best platforms for developers of Machine Learning, as the main benefit is that it is from Google and ML is highly affected by Google. In that manner, Google's AutoML kit provides very sophisticated ML techniques and algorithms support. In addition to that, the performance and accuracy of AutoML algorithms are way better than other ML platforms. Create and train the model of any specific problems is very easy and fast. Google AutoML Algorithms and techniques can easily handle large and complex data processing and as is it on the cloud, I get extremely good GPU support that would rather cost me thousands of bucks. It really makes the difference in how I develop ML applications.

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Verified User in Research

Google's AutoML minimizes the hand-tuning of the hyper-parameters of machine learning algorithm, such as neural networks, deep networks, to near zero. Given a dataset of interest, AutoML takes the dataset of interest from the users and determines a high performing network architecture.

avatar

Verified User in Information Technology and Services

That has a lot of services and I especially like the logging.

avatar

Ravi P.

Google AutoML kit is one of the best platforms for developers of Machine Learning, as the main benefit is that it is from Google and ML is highly affected by Google. In that manner, Google's AutoML kit provides very sophisticated ML techniques and algorithms support. In addition to that, the performance and accuracy of AutoML algorithms are way better than other ML platforms. Create and train the model of any specific problems is very easy and fast. Google AutoML Algorithms and techniques can easily handle large and complex data processing and as is it on the cloud, I get extremely good GPU support that would rather cost me thousands of bucks. It really makes the difference in how I develop ML applications.

avatar

Verified User in Military

The tool has facilitate the creation of machine learning models that we use in other applications.

avatar

Verified User in Research

Google's AutoML minimizes the hand-tuning of the hyper-parameters of machine learning algorithm, such as neural networks, deep networks, to near zero. Given a dataset of interest, AutoML takes the dataset of interest from the users and determines a high performing network architecture.

avatar

Verified User in Information Technology and Services

Traditionally the major problem with ml apis have been that the services have been too generic for enterprise use. Automl enables us to finally use ml api services in an enterprise context by tailoring the results to the specific use case needs.

Google Cloud AutoML Pricing Rating

Integration with Google Cloud: 4.8/5

Built on Google Cloud Platform (GCP), AutoML integrates with other Google Cloud services like BigQuery, Google Kubernetes Engine (GKE), Cloud Functions, and AI Hub for end-to-end ML workflows.

Performance: 4.8/5

AutoML leverages Google's cutting-edge AI infrastructure, ensuring that models are optimized for accuracy and speed. Google's AutoML Vision and AutoML Tables have been shown to outperform traditional machine learning techniques in many cases, delivering better results with minimal tuning.

Scalability: 4.9/5

Models trained with AutoML can scale easily to handle large volumes of data and high-frequency predictions, leveraging Google Cloud’s robust infrastructure. AutoML integrates with Google Cloud AI Prediction to offer scalable solutions for real-time or batch prediction.

FAQ on Google Cloud AutoML Pricing

Do I need to be an expert in machine learning to use AutoML?

No, Google Cloud AutoML is designed to be accessible even for users with limited or no experience in machine learning. The platform provides a no-code interface that simplifies the process of uploading data, training models, and evaluating results. For advanced users, it also provides access to TensorFlow and other frameworks.

How does AutoML handle data preprocessing?

AutoML automates data preprocessing, including cleaning, transforming, and feature extraction, as part of the training process. It handles many of the complex tasks typically required in machine learning workflows, so users don’t need to manually prepare data for training.

What is the pricing model for Google Cloud AutoML?

Google Cloud AutoML uses a pay-as-you-go pricing model. Charges are based on:

- Training time (how long it takes to train a model)
- Prediction requests (real-time or batch inference)
- Storage (costs for storing models and datasets)

Can I use AutoML for real-time predictions?

Yes, Google Cloud AutoML supports real-time predictions through AI Prediction. Once your model is trained, you can deploy it to Google Cloud’s infrastructure and use it to serve real-time predictions via an API.