Cloud TPU vs Lambda
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 Lambda 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
- On-demand GPU instances
- Lambda Stack software
- 1-Click Clusters
- Private cloud
- Cloud API
| Feature | Cloud TPU | Lambda |
|---|---|---|
| Best for | Google's custom AI accelerators for training and serving models | GPU cloud for training and inference on NVIDIA H100, H200 and B200 |
| Category | Models & APIs | Models & APIs |
| Pricing model | Paid | Paid |
| Starting price | See pricing page | See pricing page |
| Free plan | No | No |
| Made by | Lambda | |
| 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 Lambda 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
3 plans
On-demand instances
From $0.69 / GPU-hour
- 1x to 8x GPU instances
- H100 SXM from $3.99/GPU-hr
- B200 from $6.69/GPU-hr
1-Click Clusters
From $5.54 / GPU-hour
- 16 to 2,000+ B200 or H100 GPUs
- 2 weeks to 1 year terms
Reserved
Contact sales
- 1 year+ capacity
- Lowest prices
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
Lambda
- Simple hourly GPU pricing
- Ready ML software stack
- Large cluster options
- On-demand capacity can run out
- No hosted model API anymore
- Fewer managed services than hyperscalers
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 Lambda if you want:
- Simple hourly GPU pricing
- Ready ML software stack
- Large cluster options
Watch out: on-demand capacity can run out.
Cloud TPU vs Lambda FAQ
What is the difference between Cloud TPU and Lambda?
Cloud TPU: Google's custom AI accelerators for training and serving models. Lambda: GPU cloud for training and inference on NVIDIA H100, H200 and B200. Both are models & apis tools.
Is Cloud TPU or Lambda cheaper?
Cloud TPU starts at See pricing page and Lambda starts at See pricing page. Check both pricing pages for current plans.
Do Cloud TPU and Lambda have free plans?
Cloud TPU: No. Lambda: No.
Who makes Cloud TPU?
Cloud TPU is made by Google, based in United States.
Who makes Lambda?
Lambda is made by Lambda, based in United States.
Which should I choose, Cloud TPU or Lambda?
Choose Cloud TPU if you value same chips google uses for gemini and several generations to match budget. Choose Lambda if you value simple hourly gpu pricing and ready ml software stack.