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  1. Stackups
  2. AI
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  4. Machine Learning As A Service
  5. Cloud AI Platform Pipelines vs Google AI Platform

Cloud AI Platform Pipelines vs Google AI Platform

OverviewComparisonAlternatives

Overview

Google AI Platform
Google AI Platform
Stacks49
Followers119
Votes0
Cloud AI Platform Pipelines
Cloud AI Platform Pipelines
Stacks0
Followers6
Votes0

Google AI Platform vs Cloud AI Platform Pipelines: What are the differences?

Developers describe Google AI Platform as "Create your AI applications once, then run them easily on both GCP and on-premises". 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. On the other hand, Cloud AI Platform Pipelines is detailed as "Deploy robust, repeatable machine learning pipelines". It provides a way to deploy robust, repeatable machine learning pipelines along with monitoring, auditing, version tracking, and reproducibility, and delivers an enterprise-ready, easy to install, secure execution environment for your ML workflows.

Google AI Platform and Cloud AI Platform Pipelines can be categorized as "Machine Learning as a Service" tools.

Some of the features offered by Google AI Platform are:

  • “No lock-in” flexibility
  • Supports Kubeflow
  • Supports TensorFlow

On the other hand, Cloud AI Platform Pipelines provides the following key features:

  • Push-button installation via the Google Cloud Console
  • Enterprise features for running ML workloads, including pipeline versioning, automatic metadata tracking of artifacts and executions, Cloud Logging, visualization tools, and more
  • Seamless integration with Google Cloud managed services like BigQuery, Dataflow, AI Platform Training and Serving, Cloud Functions, and many others

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Detailed Comparison

Google AI Platform
Google AI Platform
Cloud AI Platform Pipelines
Cloud AI Platform Pipelines

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.

It provides a way to deploy robust, repeatable machine learning pipelines along with monitoring, auditing, version tracking, and reproducibility, and delivers an enterprise-ready, easy to install, secure execution environment for your ML workflows.

“No lock-in” flexibility; Supports Kubeflow; Supports TensorFlow; Supports TPUs; Build portable ML pipelines; on-premises or on Google Cloud; TFX tools
Push-button installation via the Google Cloud Console; Enterprise features for running ML workloads, including pipeline versioning, automatic metadata tracking of artifacts and executions, Cloud Logging, visualization tools, and more; Seamless integration with Google Cloud managed services like BigQuery, Dataflow, AI Platform Training and Serving, Cloud Functions, and many others ; Many prebuilt pipeline components (pipeline steps) for ML workflows, with easy construction of your own custom components
Statistics
Stacks
49
Stacks
0
Followers
119
Followers
6
Votes
0
Votes
0
Integrations
Google Cloud Storage
Google Cloud Storage
Google BigQuery
Google BigQuery
TensorFlow
TensorFlow
Google Cloud Dataflow
Google Cloud Dataflow
Kubeflow
Kubeflow
Google BigQuery
Google BigQuery
Google Cloud Functions
Google Cloud Functions
Google Cloud Dataflow
Google Cloud Dataflow
Google Kubernetes Engine
Google Kubernetes Engine

What are some alternatives to Google AI Platform, Cloud AI Platform Pipelines?

NanoNets

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.

Inferrd

Inferrd

It is the easiest way to deploy Machine Learning models. Start deploying Tensorflow, Scikit, Keras and spaCy straight from your notebook with just one extra line.

GraphLab Create

GraphLab Create

Building an intelligent, predictive application involves iterating over multiple steps: cleaning the data, developing features, training a model, and creating and maintaining a predictive service. GraphLab Create does all of this in one platform. It is easy to use, fast, and powerful.

BigML

BigML

BigML provides a hosted machine learning platform for advanced analytics. Through BigML's intuitive interface and/or its open API and bindings in several languages, analysts, data scientists and developers alike can quickly build fully actionable predictive models and clusters that can easily be incorporated into related applications and services.

SAM 3D

SAM 3D

Explore SAM 3D to reconstruct 3D objects, people and scenes from a single image. Build 3D assets faster with SAM 3D Objects and SAM 3D Body.

Image to Video AI: Easy AI Image Animator Online

Image to Video AI: Easy AI Image Animator Online

Instantly transform any static image into a dynamic, engaging video with our AI image animator. Create stunning animations, moving photos, and captivating visual stories in seconds. No editing skills required.

AI Video Generator

AI Video Generator

Create AI videos at 60¢ each - 50% cheaper than Veo3, faster than HeyGen. Get 200 free credits, no subscription required. PayPal supported. Start in under 2 minutes.

Free AI Pet Portrait Generator

Free AI Pet Portrait Generator

Help artist transform pet photos into stunning artwork in seconds. Create royal portraits, oil paintings, cartoon styles & more. No prompts needed, just upload and generate beautiful AI pet portraits.

Vexub

Vexub

Create high-quality videos in seconds with Vexub’s AI generator, turning your text or audio into ready-to-publish content for TikTok, YouTube Shorts, and other short-form platforms

Tinker

Tinker

Is a training API for researchers and developers.

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