Software · head to head
Anyscale vs Google Cloud Platform

Anyscale
Software
Platform for scaling AI and data workloads on Ray, built by Ray's creators
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Anyscale pricing for high-end H100/B200-class GPUs is not published and requires contacting sales.; Google Cloud Platform the $300 Free Trial credit expires 90 days from signup, whichever comes first with spending it
- They diverge on capability: Anyscale covers Distributed model training, Google Cloud Platform covers Compute Engine.
Where they differ
Only the attributes on which Anyscale and Google Cloud Platform actually diverge.
| Attribute | Anyscale | Google Cloud Platform |
|---|---|---|
| Platforms | web, api | Web, Api, Cli |
| Founded | Unknown | 2008 |
Identical on both: starting price (Free), pricing model (usage-based), free tier (Yes), user rating (Not yet rated), category (Unknown).
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 Anyscale
- Distributed model training
- Multimodal data curation
- Batch embedding generation
- Multi-cloud orchestration
- Governance and security
- Observability
- Bring-your-own-cloud deployment
- Elastic GPU allocation
Only in Google Cloud Platform
- Compute Engine
- App Engine
- Cloud Run
- Cloud Storage
- Cloud SQL
- BigQuery
- Dataflow
- Cloud Pub/Sub
What people use each for
The jobs each tool is most often brought in to do.
Anyscale
- Training large models on distributed GPU clustersnot Google Cloud Platform
- Running batch inference and embedding jobsnot Google Cloud Platform
- Preparing multimodal datasets at scalenot Google Cloud Platform
- Post-training LLMs with reinforcement learning frameworksnot Google Cloud Platform
Google Cloud Platform
- Running compute, storage and managed data services on Google's cloudnot Anyscale
- Hosting Kubernetes workloads on GKE alongside BigQuery analyticsnot Anyscale
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Anyscale
- Pricing for high-end H100/B200-class GPUs is not published and requires contacting sales.
- Built around Ray, so teams not already using Ray face a steeper adoption curve than single-purpose inference APIs.
- No published fixed-fee subscription tier; all listed pricing is usage-based on-demand compute.
Google Cloud Platform
- The $300 Free Trial credit expires 90 days from signup, whichever comes first with spending it
- Free Tier Compute Engine is limited to one non-preemptible e2-micro instance per month and only in the us-west1, us-central1 or us-east1 regions
- Free Tier Compute Engine includes only 30 GB-months of standard persistent disk and 1 GB of outbound North America data transfer per month
- Free Tier Cloud Storage covers 5 GB-months of regional storage in US regions only, 5,000 Class A and 50,000 Class B operations per month
- Free Tier outbound data transfer allowances exclude destinations in China and Australia
- Compute Engine resources are governed by allocation quotas that require a quota increase request to exceed
Pricing, plan by plan
Anyscale
Free- Pay-as-you-go$undefined/mo
- CPU only from $0.0135/hr
- NVIDIA T4 $0.5682/hr
- NVIDIA L4 $0.9542/hr
- Committed contract$undefined/mo
- Volume discounts
- Use of existing GPU reservations
Google Cloud Platform
Free- Free TierFree
- Compute Engine 744 hours/month
- Cloud Storage 5GB
- Cloud SQL 250MB storage
Which should you pick?
Choose Anyscale if
- You need distributed model training.
- You want to start without paying.
- You work on web, api.
- You also want multimodal data curation.
Choose Google Cloud Platform if
- You need compute engine.
- You want to start without paying.
- You work on Web, Api, Cli.
- You also want app engine.
Questions people ask
- Is Anyscale or Google Cloud Platform better?
- Neither clearly leads. Anyscale starts at Free and Google Cloud Platform at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Anyscale or Google Cloud Platform?
- Anyscale starts at Free and Google Cloud Platform at Free.
- Does Anyscale or Google Cloud Platform run on more platforms?
- Anyscale runs on web, api. Google Cloud Platform runs on Web, Api, Cli.
- Can I use Anyscale for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Anyscale best used for?
- Anyscale is most often used for training large models on distributed gpu clusters, running batch inference and embedding jobs, preparing multimodal datasets at scale, post-training llms with reinforcement learning frameworks. Of those, training large models on distributed gpu clusters and running batch inference and embedding jobs are not what Google Cloud Platform is typically brought in for.
- What can Anyscale do that Google Cloud Platform cannot?
- Anyscale covers Distributed model training, Multimodal data curation, Batch embedding generation, Multi-cloud orchestration. Google Cloud Platform covers Compute Engine, App Engine, Cloud Run, Cloud Storage.
Answered from the vendors’ own pages
Anyscale: How much does Anyscale cost?
Anyscale bills on a pay-as-you-go basis: CPU compute starts at $0.0135/hr, NVIDIA T4 at $0.5682/hr, and NVIDIA A100 at $4.9591/hr, with committed contracts offering volume discounts for larger workloads.
SourceAnyscale: Is there a free trial or credit?
New users receive $100 in Anyscale credits to explore the platform, which can be applied toward starter templates and on-demand compute usage.
SourceAnyscale: How is usage billed?
Hosted usage is billed hourly per compute instance type and invoiced monthly by credit card; bring-your-own-cloud usage is invoiced through Anyscale or the customer's cloud marketplace account.
SourceAnyscale: What support is included?
Hosted plans include business-hours support with up to 5 case submissions, while bring-your-own-cloud deployments get 24x7 enterprise SLAs and unlimited case submissions.
SourceRelated pages
More on Google Cloud Platform
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