DataCrunch vs Fal.ai
What's good about...
DataCrunch
- Offers a wide range GPU models including the Nvidia H200
- Great documentation, easy to use API
- Based in EU, may ease GDPR compliance
Fal.ai
- Optimized for fast inference, especially for generative media
- Cost-effective, pay-as-you-go pricing model
- Offers both serverless GPU instances
Price comparison
How do DataCrunch's prices compare against Fal.ai?
| Example configuration |
DataCrunch
|
Fal.ai
|
|---|---|---|
| VM Medium | $28.80 / mo 4 vCPU, 16 GB RAM | -- |
| VM Large | $57.60 / mo 8 vCPU, 32 GB RAM | -- |
| Block Storage | $20.00 / mo 100 GB NVMe | -- |
| 1 TB of egress beyond allowance | Free and unlimited | -- |
DataCrunch GPUs
| Name | GPUs | VRAM | vCPUs | RAM | Price/h | |
|---|---|---|---|---|---|---|
| Tesla V100 16GB | 1x V100 | 16GB | 6 | 23GB | $0.39 | Source |
| RTX A6000 48GB | 1x A6000 | 48GB | 10 | 60GB | $1.01 | Source |
| L40S | 1x L40S | 48GB | 20 | 60GB | $1.10 | Source |
| RTX 6000 Ada 48GB | 1x RTX 6000 | 48GB | 10 | 60GB | $1.19 | Source |
| A100 SXM4 40GB | 1x A100 | 40GB | 22 | 120GB | $1.29 | Source |
| A100 SXM4 80GB | 1x A100 | 80GB | 22 | 120GB | $1.89 | Source |
| H100 SXM5 80GB | 1x H100 | 80GB | 30 | 120GB | $2.65 | Source |
| H200 SXM5 141GB | 1x H200 | 141GB | 44 | 185GB | $3.03 | Source |
| A100 SXM4 80GB | 2x A100 | 160GB | 44 | 240GB | $3.78 | Source |
| A100 SXM4 40GB | 4x A100 | 160GB | 88 | 480GB | $5.16 | Source |
| H100 SXM5 80GB | 2x H100 | 160GB | 80 | 370GB | $5.30 | Source |
| H200 SXM5 141GB | 2x H200 | 282GB | 88 | 370GB | $6.06 | Source |
| A100 SXM4 80GB | 4x A100 | 320GB | 88 | 480GB | $7.56 | Source |
| H100 SXM5 80GB | 4x H100 | 320GB | 176 | 740GB | $10.60 | Source |
| H200 SXM5 141GB | 4x H200 | 564GB | 176 | 740GB | $12.12 | Source |
| A100 SXM4 80GB | 8x A100 | 640GB | 176 | 960GB | $15.12 | Source |
| H200 SXM5 141GB | 8x H200 | 1128GB | 176 | 1450GB | $24.24 | Source |
Fal.ai uses a usage-based pricing model, ensuring you only pay for the compute you consume. It offers two main structures:
- GPU Pricing: Billed per second for deploying custom applications on their GPU fleet.
- Output-Based Pricing: For models hosted by Fal.ai, billing is based on the output generated, such as per image, per megapixel, or per second of video.
Fal.ai GPUs
| Name | GPUs | VRAM | vCPUs | RAM | Price/h | |
|---|---|---|---|---|---|---|
| A6000 | 1x A6000 | 48GB | -- | -- | $0.60 | Source |
| A100 | 1x A100 | 40GB | -- | -- | $0.99 | Source |
| H100 | 1x H100 | 80GB | -- | -- | $1.89 | Source |
| H200 | 1x H200 | 141GB | -- | -- | $2.10 | Source |
| B200 | 1x B200 | 184GB | -- | -- | On Request | Source |
Note: Our pricing examples are based on several assumptions. Your actual costs may differ. Always check the cloud provider's website for the most up-to-date pricing.
Which services do they offer
Here are some managed services that DataCrunch and Fal.ai offer:
| Service |
DataCrunch
|
Fal.ai
|
|---|---|---|
| Block Storage | -- | |
| GPU-powered Servers | ||
| Managed Containers | -- | |
| Virtual Private Server (VPS) | -- |
Company details
|
DataCrunch
|
Fal.ai
|
|
|---|---|---|
| Website | datacrunch.io | fal.ai |
| Headquarters | Finland 🇫🇮 | United States of America 🇺🇸 |
| Founded | 2018 | 2021 |
| Data Center Locations | 3 | -- |
| Example Customers | Sony, Findable, Harvard University, MIT, Korea University | PlayAI, Quora Poe, Genspark, Hedra |
|
DataCrunch
|
|
|---|---|
| Website | datacrunch.io |
| Headquarters | Finland 🇫🇮 |
| Founded | 2018 |
| Data Center Locations | 3 |
| Example Customers | Sony, Findable, Harvard University, MIT, Korea University |
Alternatives to consider
Want to see how DataCrunch and Fal.ai compare against other providers? Check out these other comparisons:
Our data for DataCrunch was last updated on March 12, 2025, and for Fal.ai on June 12, 2025.