kitio.aiCloud TPU vs Anyscale
A side-by-side look at pricing plans, free tiers, features, pros and cons, updated for 2026. Cloud TPU starts at See pricing page and Anyscale starts at See pricing page. Check both pricing pages for current plans.
At a glance
Best for
Category
Pricing model
Starting price
Free plan
Made by
Based in
Rating
Key features
- Ironwood and Trillium TPUs
- PyTorch and JAX support
- vLLM inference
- GKE integration
- Committed-use discounts
- Managed Ray clusters
- Ray Serve for LLMs
- Batch inference
- Workspaces
- Runs in your cloud
| Feature | Cloud TPU | Anyscale |
|---|---|---|
| Best for | Google's custom AI accelerators for training and serving models | Managed Ray platform for scaling AI training, data and serving |
| Category | Models & APIs | Models & APIs |
| Pricing model | Paid | Paid |
| Starting price | See pricing page | See pricing page |
| Free plan | No | No |
| Made by | Anyscale | |
| Based in | United States | United States |
| Rating | No ratings yet | No ratings yet |
| Key features |
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Pricing compared
Cloud TPU starts at See pricing page and Anyscale starts at See pricing page. Check both pricing pages for current plans.
Free plan
Cheapest paid plan
Top plan
Free trial
4 plans
TPU v5e
$1.20 / chip-hour
- On demand, us-central1
- Cost-efficient training and inference
Trillium
$2.70 / chip-hour
- On demand, us-east1
- Sixth-generation TPU
TPU v5p
$4.20 / chip-hour
- On demand
- Large-scale training
Ironwood
$12.00 / chip-hour
- On demand, us-central1
- Newest TPU generation
Prices in USD, checked Oct 28, 2026 or later. Plans change often, so confirm on each tool's site before you buy.
Pros and cons
Cloud TPU
- Same chips Google uses for Gemini
- Several generations to match budget
- Large discounts for commitments
- Pricing varies by region and is hard to estimate
- Tied to Google Cloud
- Quota for big clusters goes through sales
Anyscale
- From the creators of Ray
- Scales data and training jobs
- Runs in your own cloud
- Ray has a learning curve
- Overkill for small projects
- Costs hard to estimate
Which one should you choose?
Choose Cloud TPU if you want:
- Same chips Google uses for Gemini
- Several generations to match budget
- Large discounts for commitments
Watch out: pricing varies by region and is hard to estimate.
Choose Anyscale if you want:
- From the creators of Ray
- Scales data and training jobs
- Runs in your own cloud
Watch out: ray has a learning curve.
Cloud TPU vs Anyscale FAQ
What is the difference between Cloud TPU and Anyscale?
Cloud TPU: Google's custom AI accelerators for training and serving models. Anyscale: Managed Ray platform for scaling AI training, data and serving. Both are models & apis tools.
Is Cloud TPU or Anyscale cheaper?
Cloud TPU starts at See pricing page and Anyscale starts at See pricing page. Check both pricing pages for current plans.
Do Cloud TPU and Anyscale have free plans?
Cloud TPU: No. Anyscale: No.
Who makes Cloud TPU?
Cloud TPU is made by Google, based in United States.
Who makes Anyscale?
Anyscale is made by Anyscale, based in United States.
Which should I choose, Cloud TPU or Anyscale?
Choose Cloud TPU if you value same chips google uses for gemini and several generations to match budget. Choose Anyscale if you value from the creators of ray and scales data and training jobs.