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Machine Learning & Data Science · head to head

Google Vertex AI vs Ollama

Google Vertex AI logo

Google Vertex AI

Machine Learning & Data Science

Unified ML platform to build, deploy, and scale AI models

From
On request
Rated
-
Ollama logo

Ollama

Machine Learning & Data Science

Open-source tool for running LLMs locally on desktop and servers

From
Free
Rated
-

The short version

  • Only Ollama has a free tier, so it costs nothing to try first.
  • Each has a real cost: Google Vertex AI vendor lock-in to Google Cloud ecosystem makes migration to other platforms difficult; Ollama requires user to provide computational hardware; no free cloud compute; models may not fit in available RAM on typical machines

Where they differ

Only the attributes on which Google Vertex AI and Ollama actually diverge.

Attributes where Google Vertex AI and Ollama differ
AttributeGoogle Vertex AIOllama
Starting priceOn requestFree
Pricing modelUnknownopen-source
Free tierNoYes
PlatformsCloud, WebmacOS, Windows, Linux, Cloud (AWS, Google Cloud, Azure, self-hosted)
Founded2008Unknown

Identical on both: user rating (Not yet rated), category (Machine Learning & Data Science).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Google Vertex AI

  • AutoML
  • Custom training
  • Feature Store
  • Model monitoring
  • Prediction serving
  • BigQuery
  • Cloud Storage
  • TensorFlow

Only in Ollama

Nothing recorded that Google Vertex AI does not also cover.

What people use each for

The jobs each tool is most often brought in to do.

Google Vertex AI

  • Machine learningnot Ollama
  • Data analysisnot Ollama
  • Model trainingnot Ollama
  • Predictive analyticsnot Ollama

Ollama

  • Local development and testing without API costs or rate limitsnot Google Vertex AI
  • Privacy-sensitive applications requiring data to remain on-devicenot Google Vertex AI
  • Cost-sensitive deployments where computational resources are already availablenot Google Vertex AI
  • Fully offline environments or air-gapped networksnot Google Vertex AI

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Google Vertex AI

  • Vendor lock-in to Google Cloud ecosystem makes migration to other platforms difficult
  • Requires familiarity with Google Cloud Platform infrastructure and concepts
  • Cost can escalate quickly with large training and inference workloads

Ollama

  • Requires user to provide computational hardware; no free cloud compute; models may not fit in available RAM on typical machines
  • No hosted service option for inference; all computational burden falls to user
  • Limited to open-weight models; cannot run proprietary models like GPT-4 or Claude locally
  • Performance depends entirely on user's hardware; no SLAs or guarantees on speed

Pricing, plan by plan

Google Vertex AI

On request

No published plan breakdown. See the Google Vertex AI review.

Ollama

Free

No published plan breakdown. See the Ollama review.

Which should you pick?

Choose Google Vertex AI if

  • You need automl.
  • You work on Cloud, Web.
  • You also want custom training.

Choose Ollama if

  • You want to start without paying.
  • You work on macOS, Windows, Linux, Cloud (AWS, Google Cloud, Azure, self-hosted).

Questions people ask

Is Google Vertex AI or Ollama better?
Neither clearly leads. Google Vertex AI starts at On request and Ollama at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Google Vertex AI or Ollama?
Ollama has a free tier; the other does not. Paid plans start at On request for Google Vertex AI and Free for Ollama.
Does Google Vertex AI or Ollama run on more platforms?
Google Vertex AI runs on Cloud, Web. Ollama runs on macOS, Windows, Linux, Cloud (AWS, Google Cloud, Azure, self-hosted).
Can I use Ollama for free?
Yes. Ollama has a free tier, so you can try it without paying. Google Vertex AI starts at On request.
What is Google Vertex AI best used for?
Google Vertex AI is most often used for machine learning, data analysis, model training, predictive analytics. Of those, machine learning and data analysis are not what Ollama is typically brought in for.
What can Google Vertex AI do that Ollama cannot?
Google Vertex AI covers AutoML, Custom training, Feature Store, Model monitoring.

Answered from the vendors’ own pages

Google Vertex AI: What is the pricing model for Google Vertex AI?

Vertex AI uses a pay-as-you-go model with no upfront costs or lock-in fees. Costs vary by service: training is billed by compute resources and time (30-second increments), online predictions by machine type per hour, and batch predictions by compute time or per-record for specific AutoML types.

Source
Google Vertex AI: What types of data can Vertex AI handle?

Vertex AI supports image, video, text, and tabular data types with tools for uploading, storing, and managing large datasets.

Source
Google Vertex AI: Does Vertex AI support custom model training?

Yes. Vertex AI supports both AutoML for automated machine learning and custom training code in Python, R, and other languages.

Source
Google Vertex AI: What deployment options are available in Vertex AI?

Vertex AI supports online predictions for real-time use cases and batch predictions for large-scale processing.

Source

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