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B200 pricing on fal.ai
Every fal.ai B200 offering we track, normalized to a per-GPU hourly rate and ranked against 31 providers with current B200 pricing.
From / GPU-hr
$6.25
Price rank
#24 of 31
Configurations
1
Last updated
September 17, 2026
The cheapest B200 we currently track is $2.29/hr on Compute Cheap.
fal.ai B200 rates
Hourly prices per GPU. Multi-GPU rows show the per-GPU rate, not the instance total.
| Price / GPU-hr | Type | GPUs |
|---|---|---|
| $6.25 | On-demand | 1 |
B200 specifications
- VRAM
- 180GB
- Architecture
- Blackwell
- Memory Bandwidth
- 8000 GB/s
- TDP
- 1000W
B200 on other providers
- Compute Cheap$2.29/hr
- Verda$3.12/hr
- Vultr$3.50/hr
- Daytona$3.59/hr
- Deep Infra$3.69/hr
- Packet AI$3.75/hr
- Civo$3.79/hr
- UpCloud$3.90/hr
- GMI Cloud$4.00/hr
- GPU Outlet$4.20/hr
- CoreWeave$4.26/hr
- 1Legion$4.74/hr
- Google Cloud$4.95/hr
- Beyond.pl$5.10/hr
- Hyperstack$5.10/hr
- Spheron$5.37/hr
- PowerGPU$5.42/hr
- Massed Compute$5.43/hr
- Lium.io$5.50/hr
- Vast.ai$5.63/hr
- Runpod$5.98/hr
- Hyperbolic$5.99/hr
- Modal$6.25/hr
- Lyceum$6.29/hr
- Lambda Labs$6.69/hr
- gpu.ai$6.79/hr
- Hexgrid Cloud$7.50/hr
- Together AI$9.00/hr
- AtmosCompute$9.51/hr
- Oracle Cloud$14.00/hr
About fal.ai
fal.ai is a serverless inference platform focused on generative media (image, video, audio) with a hosted model catalog and on-demand GPU runtimes for custom deployments.
Frequently Asked Questions
How much does the B200 cost on fal.ai?
fal.ai lists the B200 from $6.25 per GPU-hour across 1 tracked configuration. Prices are collected daily — see the table above for the current rates.
Is fal.ai the cheapest place to rent the B200?
fal.ai ranks #24 of 31 providers we track with current B200 pricing. The cheapest right now is Compute Cheap. Price is only one factor — region availability, network, and storage costs differ between providers.
Which B200 configurations does fal.ai offer?
We currently track 1 B200 offering from fal.ai, covering the GPU counts, pricing types, and regions listed in the table above. Every price is normalized to a per-GPU hourly rate so it can be compared across providers.