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
gpuhub is a leading GPU cloud provider offering 6 instances across 6 different GPU models. With pricing starting at $0.00/hour, they provide competitive options for AI training, inference, and high-performance computing workloads.
Their infrastructure spans 2 regions, making it easy to deploy GPU instances close to your users or data sources. The provider supports popular NVIDIA GPUs including A800 80GB, GB300, RTX 4080 Super, enabling a wide range of AI/ML applications from deep learning training to real-time inference.
When choosing gpuhub for your GPU cloud needs, consider factors like pricing, regional availability, and supported GPU models. Their platform integrates with popular ML frameworks like PyTorch, TensorFlow, and JAX, making it straightforward to migrate existing workloads or start new projects.
For cost optimization, compare gpuhub's pricing with other providers using our cost estimator tool. Many users find that gpuhub offers competitive rates for long-running training jobs or high-throughput inference workloads, especially when utilizing their spot or preemptible instance options.
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 →