HGX B300 pricing on gpu.ai
Every gpu.ai HGX B300 offering we track, normalized to a per-GPU hourly rate and ranked against 40 providers with current HGX B300 pricing.
The cheapest HGX B300 we currently track is $0.990/hr on Nebius.
gpu.ai HGX B300 rates
Hourly prices per GPU. Multi-GPU rows show the per-GPU rate, not the instance total.
| Price / GPU-hr | Type | GPUs |
|---|---|---|
| $8.99 | On-demand | 1 |
HGX B300 specifications
- VRAM
- 288GB
- Architecture
- Blackwell
- Memory Bandwidth
- 8000 GB/s
- TDP
- 1100W
HGX B300 on other providers
- Nebius$0.990/hr
- Compute Cheap$3.49/hr
- Lium.io$4.00/hr
- Daytona$4.08/hr
- 1Legion$4.10/hr
- Avian Compute$4.23/hr
- GPU Outlet$4.30/hr
- Bentaus$4.35/hr
- CoreWeave$4.48/hr
- Impossible Cloud$4.53/hr
- TheAI Cloud$4.70/hr
- Together AI$4.99/hr
- Civo$5.49/hr
- Verda$5.51/hr
- Seeweb$5.56/hr
- Lyceum$5.59/hr
- Spheron$5.84/hr
- Deep Infra$5.89/hr
- UpCloud$5.99/hr
- DigitalOcean$6.17/hr
- Massed Compute$6.60/hr
- Gcore$6.69/hr
- Runpod$6.94/hr
- Modal$7.10/hr
- Hyperstack$7.40/hr
- Latitude.sh$8.00/hr
- VoltageGPU$8.00/hr
- Scaleway$8.36/hr
- OpenRelay$8.49/hr
- Crusoe$8.96/hr
- Vast.ai$9.94/hr
- Runcrate$10.40/hr
- Shadeform$11.00/hr
- IO.NET$11.55/hr
- Omega Gradient$11.55/hr
- fal.ai$12.99/hr
- Fluence Cloud$13.66/hr
- Oracle Cloud$15.00/hr
- Amazon AWS$17.80/hr
About gpu.ai
gpu.ai is a provider-agnostic cloud compute platform that aggregates capacity from multiple providers.
Frequently Asked Questions
How much does the HGX B300 cost on gpu.ai?
gpu.ai lists the HGX B300 from $8.99 per GPU-hour across 1 tracked configuration. Prices are collected daily — see the table above for the current rates.
Is gpu.ai the cheapest place to rent the HGX B300?
gpu.ai ranks #31 of 40 providers we track with current HGX B300 pricing. The cheapest right now is Nebius. Price is only one factor — region availability, network, and storage costs differ between providers.
Which HGX B300 configurations does gpu.ai offer?
We currently track 1 HGX B300 offering from gpu.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.