SaladCloud is the world's largest distributed cloud network powered by community GPUs. Save up to 90% on compute costs compared to hyperscalers with AI/ML production models deployed at scale. Access 450K+ worldwide earning nodes across 191 countries with GPU starting prices from $0.02/hr.
| Name | saladcloud |
| Total Instances | 31 |
| Minimum Price | $0.02/hr |
| Maximum VRAM | 80 GB |
| Available GPU Models |
SaladCloud is the world's largest distributed cloud network powered by community GPUs. Save up to 90% on compute costs compared to hyperscalers with AI/ML production models deployed at scale. Access 450K+ worldwide earning nodes across 191 countries with GPU starting prices from $0.02/hr.
Ready to rent GPUs from saladcloud? Sign up now to explore available instances and start your AI workloads.
Visit Provider Website →Starting price for RTX/GTX GPUs with up to 90% cost savings
✓ Community-powered
✓ Distributed network
✓ No VM management
✓ Container-based
✓ SOC2 certified
Discounted pricing for high-volume GPU use, long running jobs, and committed contracts
✓ Volume discounts
✓ Committed contracts
✓ Sales support
✓ Custom pricing
| Accelerator | Price/Hour | VRAM | Type | Action |
|---|---|---|---|---|
| A100 40GB PCIe | $0.40 | 40 GB | Ampere | View GPU → |
| A100 80GB SXM | $0.50 | 80 GB | Ampere | View GPU → |
| L40 | $0.32 | 48 GB | Ada Lovelace | View GPU → |
| RTX 5090 | $0.27 | 32 GB | Blackwell | View GPU → |
| RTX 5080 | $0.20 | 16 GB | Blackwell | View GPU → |
| RTX 4090 | $0.18 | 24 GB | Ada Lovelace | View GPU → |
| RTX 4080 | $0.13 | 16 GB | Ada Lovelace | View GPU → |
| RTX 4070 Ti Super | $0.13 | 16 GB | Ada Lovelace | View GPU → |
| RTX 4070 Ti | $0.10 | 12 GB | Ada Lovelace | View GPU → |
| RTX 4070 | $0.10 | 12 GB | Ada Lovelace | View GPU → |
| RTX 4060 Ti | $0.10 | 16 GB | Ada Lovelace | View GPU → |
| RTX 3090 Ti | $0.13 | 24 GB | Ampere | View GPU → |
| RTX 3090 | $0.10 | 24 GB | Ampere | View GPU → |
| RTX 3080 Ti | $0.10 | 12 GB | Ampere | View GPU → |
| RTX 3080 | $0.09 | 10 GB | Ampere | View GPU → |
| RTX 3070 Ti | $0.07 | 8 GB | Ampere | View GPU → |
| RTX 3070 | $0.07 | 8 GB | Ampere | View GPU → |
| RTX 3060 | $0.06 | 12 GB | Ampere | View GPU → |
| RTX 3050 | $0.04 | 8 GB | Ampere | View GPU → |
| RTX 2080 Ti | $0.08 | 11 GB | Turing | View GPU → |
| RTX 2080 | $0.06 | 8 GB | Turing | View GPU → |
| RTX 2070 | $0.03 | 8 GB | Turing | View GPU → |
| RTX 2060 | $0.03 | 6 GB | Turing | View GPU → |
| GTX 1660 Super | $0.03 | 6 GB | Turing | View GPU → |
| GTX 1660 | $0.03 | 6 GB | Turing | View GPU → |
| GTX 1650 | $0.02 | 4 GB | Turing | View GPU → |
| GTX 1080 Ti | $0.03 | 8 GB | Pascal | View GPU → |
| GTX 1080 | $0.03 | 8 GB | Pascal | View GPU → |
| GTX 1070 | $0.03 | 8 GB | Pascal | View GPU → |
| GTX 1060 | $0.02 | 6 GB | Pascal | View GPU → |
| GTX 1050 Ti | $0.02 | 4 GB | Pascal | View GPU → |
Explore GPU specifications and compare pricing for saladcloud
Explore alternative GPU cloud providers and compare pricing
Check CUDA compute capability and AI feature support for different GPUs
View Reference →saladcloud is a leading GPU cloud provider offering 31 instances across 31 different GPU models. With pricing starting at $0.02/hour, they provide competitive options for AI training, inference, and high-performance computing workloads.
Their infrastructure spans 1 regions, making it easy to deploy GPU instances close to your users or data sources. The provider supports popular NVIDIA GPUs including A100 40GB PCIe, A100 80GB SXM, GTX 1050 Ti, enabling a wide range of AI/ML applications from deep learning training to real-time inference.
When choosing saladcloud 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 saladcloud's pricing with other providers using our cost estimator tool. Many users find that saladcloud offers competitive rates for long-running training jobs or high-throughput inference workloads, especially when utilizing their spot or preemptible instance options.
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
Visit saladcloud's website to create an account and start using their GPU instances.
Visit saladcloud →