AIxBlock vs. Vertex AI

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
AIxBlock
Score 0.0 out of 10
N/A
AIxBlock is a unified and decentralized platform for end-to-end AI development and workflow automation, built natively on the Model Context Protocol (MCP). It is designed for AI engineers and development teams seeking a modular solution to build, train, and deploy custom AI models. AIxBlock integrates a data engine with large-scale labeling, distributed model training with Mixture of Experts (MoE) support, and a low-code workflow automation builder. It also includes decentralized marketplaces…
$19
per month per seat
Vertex AI
Score 8.7 out of 10
N/A
Vertex AI on Google Cloud is an MLOps solution, used to build, deploy, and scale machine learning (ML) models with fully managed ML tools for any use case.
$0
Starting at
Pricing
AIxBlockVertex AI
Editions & Modules
Individual Hobby
$19
per month per seat
Business Pro
$35
per month per seat
Enterprise
Custom
Imagen model for image generation
$0.0001
Starting at
Text, chat, and code generation
$0.0001
per 1,000 characters
Text data upload, training, deployment, prediction
$0.05
per hour
Video data training and prediction
$0.462
per node hour
Image data training, deployment, and prediction
$1.375
per node hour
Offerings
Pricing Offerings
AIxBlockVertex AI
Free Trial
NoYes
Free/Freemium Version
YesYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeOptional
Additional DetailsDiscount available for annual billing.Pricing is based on the Vertex AI tools and services, storage, compute, and Google Cloud resources used.
More Pricing Information
Best Alternatives
AIxBlockVertex AI
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Medium-sized Companies
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Score 7.8 out of 10
Enterprises
Dataiku
Dataiku
Score 8.2 out of 10
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Score 8.2 out of 10
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User Ratings
AIxBlockVertex AI
Likelihood to Recommend
-
(0 ratings)
7.9
(13 ratings)
Performance
-
(0 ratings)
7.1
(10 ratings)
Configurability
-
(0 ratings)
7.3
(10 ratings)
User Testimonials
AIxBlockVertex AI
Likelihood to Recommend
AIxBlock
No answers on this topic
Google
Vertex AI seems to be a lot more accurate with image editing versus other competitors (including free one). We do a lot of image creation, especially of dogs in very certain scenarios. We use Adobe Stock to get us started, but many times we need some very specific edits done to the image. We've found Vertex can produce those with a lot more precision than other AI image generators.
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Pros
AIxBlock
No answers on this topic
Google
  • Vertex AI comes with support for LOTs of LLMs out of the box
  • MLOps tools are available that help to standardize operational aspects
  • Document AI is an out of the box feature that works just perfectly for our use cases of automating lots to tedious data extraction tasks from images as well as papers
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Cons
AIxBlock
No answers on this topic
Google
  • Customization of AutoML models - A must needed capability to be able to tweak hyperparameters and also working with different models
  • Model Explainability -Providing more comprehensive explanations about how models are utilizing features could be very beneficial
  • Model versioning and experiments tracking - Enhancing the versioning capability could be good for end users
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Performance
AIxBlock
No answers on this topic
Google
It's not always instant, but understandable when it's under heavy load. It's not impressive nor disappointing, just what is expected. But when calling this platform through API's for it to do the actions requested there is minimal delay and wait time. It feels very responsive and quick when integrating it with a call center chat platform for example.
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Alternatives Considered
AIxBlock
No answers on this topic
Google
Vertex AI is much more accessible to non-developers than IBM's product. Moreover, Vertex AI integrates well with other Google products, enhancing its capabilities. A big plus is its integration with cloud storage, that allows for better management and access of data. In all honesty, it wasn't much of a difficult choice to choose Vertex AI.
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Return on Investment
AIxBlock
No answers on this topic
Google
  • It is pay as you go model so it'll save more cost of your org. In our case previously we used to incurred 1-2L/Month now we are reduced it to 80k-1L.
  • It'll help you save your model training & model selection time as it provides pre-trained models in autoML.
  • It'll help you in terms of Security wherein we can use row level security access to authorized persons.
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ScreenShots

AIxBlock Screenshots

Screenshot of the user dashboardScreenshot of the automation workflowScreenshot of automation workflow templatesScreenshot of where to fine-tune and deploy workflows

Vertex AI Screenshots

Screenshot of an introduction to generative AI on Vertex AI - Vertex AI Studio offers a Google Cloud console tool for rapidly prototyping and testing generative AI models.Screenshot of gen AI for summarization, classification, and extraction - Text prompts can be created to handle any number of tasks with Vertex AI’s generative AI support. Some of the most common tasks are classification, summarization, and extraction. Vertex AI’s PaLM API for text can be used to design prompts with flexibility in terms of their structure and format.Screenshot of Custom ML training overview and documentation - An overview of the custom training workflow in Vertex AI, the benefits of custom training, and the various training options that are available. This page also details every step involved in the ML training workflow from preparing data to predictions.Screenshot of ML model training and creation -  A guide that shows how Vertex AI’s AutoML is used to create and train custom machine learning models with minimal effort and machine learning expertise.Screenshot of deployment for batch or online predictions - When using a model to solve a real-world problem, the Vertex AI prediction service can be used for batch and online predictions.