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B200 pricing on Lyceum
Every Lyceum B200 offering we track, normalized to a per-GPU hourly rate and ranked against 28 providers with current B200 pricing.
From / GPU-hr
$6.29
Price rank
#23 of 28
Configurations
1
Last updated
September 11, 2026
The cheapest B200 we currently track is $3.06/hr on Verda.
Lyceum B200 rates
Hourly prices per GPU. Multi-GPU rows show the per-GPU rate, not the instance total.
| Price / GPU-hr | Type | GPUs |
|---|---|---|
| $6.29 | On-demand | 1 |
B200 specifications
- VRAM
- 180GB
- Architecture
- Blackwell
- Memory Bandwidth
- 8000 GB/s
- TDP
- 1000W
B200 on other providers
- Verda$3.06/hr
- Vultr$3.50/hr
- Deep Infra$3.69/hr
- Packet AI$3.75/hr
- Civo$3.79/hr
- Spheron$3.90/hr
- UpCloud$3.90/hr
- Nebius$3.95/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
- Vast.ai$5.31/hr
- Massed Compute$5.43/hr
- Lium.io$5.50/hr
- Runpod$5.98/hr
- Hyperbolic$5.99/hr
- Modal$6.25/hr
- fal.ai$6.25/hr
- Lambda Labs$6.69/hr
- Aquanode$6.79/hr
- Together AI$9.00/hr
- AtmosCompute$13.29/hr
- Oracle Cloud$14.00/hr
About Lyceum
Lyceum offers serverless inference, dedicated endpoints, GPU VMs, and large-scale clusters for AI workloads. The platform is designed to facilitate the deployment and management of AI solutions without the complexity of traditional infrastructure.
Frequently Asked Questions
How much does the B200 cost on Lyceum?
Lyceum lists the B200 from $6.29 per GPU-hour across 1 tracked configuration. Prices are collected daily — see the table above for the current rates.
Is Lyceum the cheapest place to rent the B200?
Lyceum ranks #23 of 28 providers we track with current B200 pricing. The cheapest right now is Verda. Price is only one factor — region availability, network, and storage costs differ between providers.
Which B200 configurations does Lyceum offer?
We currently track 1 B200 offering from Lyceum, 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.