HGX B300 pricing on Akash Network
Every Akash Network HGX B300 offering we track, normalized to a per-GPU hourly rate and ranked against 33 providers with current HGX B300 pricing.
The cheapest HGX B300 we currently track is $2.00/hr on Vultr.
Akash Network HGX B300 rates
Hourly prices per GPU. Multi-GPU rows show the per-GPU rate, not the instance total.
| Price / GPU-hr | Type | GPUs |
|---|---|---|
| $6.00 | On-demand | 1 |
HGX B300 specifications
- VRAM
- 288GB
- Architecture
- Blackwell
- Memory Bandwidth
- 8000 GB/s
- TDP
- 1100W
HGX B300 on other providers
- Vultr$2.00/hr
- Daytona$4.08/hr
- GPU Outlet$4.30/hr
- Impossible Cloud$4.32/hr
- Bentaus$4.35/hr
- CoreWeave$4.48/hr
- Verda$4.49/hr
- Deep Infra$4.89/hr
- 1Legion$5.00/hr
- TheAI Cloud$5.30/hr
- Civo$5.49/hr
- UpCloud$5.60/hr
- Spheron$5.85/hr
- Massed Compute$6.60/hr
- Gcore$6.72/hr
- Runpod$6.94/hr
- Modal$7.10/hr
- Hyperstack$7.40/hr
- OpenRelay$7.49/hr
- Nebius$7.85/hr
- gpu.ai$7.89/hr
- Lyceum$7.99/hr
- DigitalOcean$8.00/hr
- Latitude.sh$8.00/hr
- Lium.io$8.00/hr
- Scaleway$8.40/hr
- Aquanode$8.68/hr
- Vast.ai$9.94/hr
- AtmosCompute$11.04/hr
- fal.ai$12.99/hr
- VoltageGPU$14.80/hr
- Oracle Cloud$15.00/hr
About Akash Network
Akash Network offers a decentralized cloud platform that enables users to deploy AI and compute workloads using available GPU resources globally.
Frequently Asked Questions
How much does the HGX B300 cost on Akash Network?
Akash Network lists the HGX B300 from $6.00 per GPU-hour across 1 tracked configuration. Prices are collected daily — see the table above for the current rates.
Is Akash Network the cheapest place to rent the HGX B300?
Akash Network ranks #14 of 33 providers we track with current HGX B300 pricing. The cheapest right now is Vultr. Price is only one factor — region availability, network, and storage costs differ between providers.
Which HGX B300 configurations does Akash Network offer?
We currently track 1 HGX B300 offering from Akash Network, 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.