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AI · head to head

CoreWeave vs Google Vertex AI

CoreWeave logo

CoreWeave

AI

Specialized cloud for GPU compute

From
$0.35/per-hour
Rated
-
Full reviewWebsite
Google Vertex AI logo

Google Vertex AI

Machine Learning

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

From
On request
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: CoreWeave gPU nodes are sold as full 8 GPU instances rather than single cards, so the entry cost for an H100 node is $49.24 an hour on demand; Google Vertex AI vendor lock-in to Google Cloud ecosystem makes migration to other platforms difficult
  • They diverge on capability: CoreWeave covers NVIDIA H100/A100, Google Vertex AI covers AutoML.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

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

Attributes where CoreWeave and Google Vertex AI differ
AttributeCoreWeaveGoogle Vertex AI
Starting price$0.35/per-hourOn request
Pricing modelusage-basedUnknown
PlatformsCloudCloud, Web
CategoryAIMachine Learning
Founded20172008

Identical on both: free tier (No), user rating (Not yet rated).

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 CoreWeave

  • NVIDIA H100/A100
  • Kubernetes native
  • High bandwidth
  • Object storage
  • Kubernetes
  • Terraform
  • Cloud APIs
  • Cloud support

Only in Google Vertex AI

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

What people use each for

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

CoreWeave

  • Renting GPU compute for model training and inferencenot Google Vertex AI
  • Running large scale AI workloads without buying hardwarenot Google Vertex AI

Google Vertex AI

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

Where each one falls short

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

CoreWeave

  • GPU nodes are sold as full 8 GPU instances rather than single cards, so the entry cost for an H100 node is $49.24 an hour on demand
  • Spot pricing is roughly 40% of on demand, at $19.71 an hour for the same H100 node, so predictable capacity carries a large premium
  • The newest hardware carries no published price and requires contacting sales
  • Discounts of up to 60% require committed usage agreements negotiated with sales
  • Only the GH200 is offered as a single GPU instance

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

Pricing, plan by plan

CoreWeave

$0.35/per-hour
  • Standard$0.35/per-hour
    • Various GPU types
    • Kubernetes
  • EnterpriseFree
    • Dedicated clusters
    • Custom solutions

Google Vertex AI

On request

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

Which should you pick?

Choose CoreWeave if

  • You need nvidia h100/a100.
  • You work on Cloud.
  • You also want kubernetes native.
CoreWeave review

Choose Google Vertex AI if

  • You need automl.
  • You work on Cloud, Web.
  • You also want custom training.
Google Vertex AI review

Questions people ask

Is CoreWeave or Google Vertex AI better?
Neither clearly leads. CoreWeave starts at $0.35/per-hour and Google Vertex AI at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, CoreWeave or Google Vertex AI?
CoreWeave starts at $0.35/per-hour and Google Vertex AI at On request.
Does CoreWeave or Google Vertex AI run on more platforms?
CoreWeave runs on Cloud. Google Vertex AI runs on Cloud, Web.
What is CoreWeave best used for?
CoreWeave is most often used for renting gpu compute for model training and inference, running large scale ai workloads without buying hardware. Of those, renting gpu compute for model training and inference and running large scale ai workloads without buying hardware are not what Google Vertex AI is typically brought in for.
What can CoreWeave do that Google Vertex AI cannot?
CoreWeave covers NVIDIA H100/A100, Kubernetes native, High bandwidth, Object storage. Google Vertex AI covers AutoML, Custom training, Feature Store, Model monitoring.

Answered from the vendors’ own pages

CoreWeave: How much does CoreWeave cost?

CoreWeave does not publish pricing on its website. The company uses a quote-based pricing model and directs customers to contact their sales team directly to discuss pricing options and customized solutions.

Source
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
CoreWeave: How can I get a quote from CoreWeave?

To obtain CoreWeave pricing, you must contact their sales team directly through the Contact Us option on their website. They will provide a customized quote based on your specific compute and infrastructure requirements.

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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