gpuhub GPU Cloud Provider
Professional GPU rental services with second-level billing, stable and reliable performance, high-specification data centers, and 24/7 customer service. Features algorithm reproduction community for one-click algorithm deployment.
Provider Overview
| Name | gpuhub |
| Total Instances | 6 |
| Minimum Price | $0.00/hr |
| Maximum VRAM | 288 GB |
| Available GPU Models |
Professional GPU rental services with second-level billing, stable and reliable performance, high-specification data centers, and 24/7 customer service. Features algorithm reproduction community for one-click algorithm deployment.
Get Started with gpuhub
Ready to rent GPUs from gpuhub? Sign up now to explore available instances and start your AI workloads.
Visit Provider Website →About the Provider
Pricing Plans
On-Demand
$0
Per-second billing, no contracts
Community
$0
Algorithm replication community access
Available Instances
| Accelerator | Price/Hour | VRAM | Type | Action |
|---|---|---|---|---|
| RTX 5090 | $0.36 | 32 GB | GPU | View GPU → |
| RTX 4090 | $0.44 | 48 GB | GPU | View GPU → |
| RTX PRO 6000 Blackwell | $0.91 | 96 GB | GPU | View GPU → |
| A800 80GB | $1.01 | 80 GB | GPU | View GPU → |
| RTX 4080 Super | $0.20 | 32 GB | GPU | View GPU → |
| GB300 | $0.00 | 288 GB | GPU | View GPU → |
Available GPUs
Explore GPU specifications and compare pricing for gpuhub
Compare with Other Providers
Explore alternative GPU cloud providers and compare pricing
Related Resources
Compute Capability
Check CUDA compute capability and AI feature support for different GPUs
View Reference →About gpuhub GPU Cloud
GPUvec currently tracks 6 gpuhub instance configurations across 6 GPU models, but no comparable active hourly price is available. Missing pricing means the dataset has no current offer; it does not mean the service is free.
The recorded catalog includes A800 80GB, GB300, RTX 4080 Super, RTX 4090, RTX 5090. GPUvec has location data for 2 regions: asia-east, asia-southeast.
When evaluating gpuhub, compare memory capacity, accelerator generation, hourly rate, regional availability, billing granularity, storage, and network requirements. Framework support also depends on the selected image and driver stack, so verify CUDA and container versions before migration.
Use GPUvec's provider directory and GPU comparison tool to compare gpuhub with alternatives on the same accelerator model. A like-for-like comparison avoids misleading conclusions caused by different GPU counts, CPUs, RAM allocations, or commitment terms.
External Resources
Learn more about GPUs from these authoritative sources:
Official CUDA programming guide
NVIDIA GPU Specifications →Official NVIDIA GPU specs
TechPowerUp GPU Database →Comprehensive GPU specifications
CUDA Compute Capability Guide →GPU compute capability reference
Ready to Get Started?
Visit gpuhub's website to create an account and start using their GPU instances.
Visit gpuhub →What You Need to Know About gpuhub
Complete Overview of gpuhub GPU Cloud Services and Pricing
Get detailed information about gpuhub's GPU cloud offerings, including available GPU models like RTX 4090, H100, A100, and L40S instances. Compare pricing structures, regional availability, and unique features that distinguish gpuhub from other providers. Whether you need per-second billing, reserved instances, or spot pricing, understanding each provider's model helps you optimize your GPU spending.
Pricing per Hour for gpuhub GPU Instances
Review the pricing structure for gpuhub's GPU instances and compare hourly rates across different GPU models. GPUvec provides transparent pricing data so you can evaluate whether gpuhub offers competitive rates for your AI training, inference, or rendering workloads compared to alternatives like RunPod, Vast.ai, or Lambda Labs.
How gpuhub Compares to Other GPU Cloud Providers
See how gpuhub stacks up against other GPU cloud providers in terms of pricing, GPU availability, geographic coverage, and unique features. Our detailed comparison helps you choose the best provider for your specific needs, whether you prioritize the lowest price per hour for RTX 4090 instances or the most reliable H100 availability for production workloads.