saladcloud GPU Cloud Provider
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.
Provider Overview
| 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.
Get Started with saladcloud
Ready to rent GPUs from saladcloud? Sign up now to explore available instances and start your AI workloads.
Visit Provider Website →About the Provider
Pricing Plans
RTX/GTX GPUs
$0
Starting price for RTX/GTX GPUs with up to 90% cost savings
✓ Community-powered
✓ Distributed network
✓ No VM management
✓ Container-based
✓ SOC2 certified
High Volume Discount
$0
Discounted pricing for high-volume GPU use, long running jobs, and committed contracts
✓ Volume discounts
✓ Committed contracts
✓ Sales support
✓ Custom pricing
Available Instances
| 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 → |
Available GPUs
Explore GPU specifications and compare pricing for saladcloud
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 saladcloud GPU Cloud
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.
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 saladcloud's website to create an account and start using their GPU instances.
Visit saladcloud →What You Need to Know About saladcloud
Complete Overview of saladcloud GPU Cloud Services and Pricing
Get detailed information about saladcloud'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 saladcloud 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 saladcloud GPU Instances
Review the pricing structure for saladcloud's GPU instances and compare hourly rates across different GPU models. GPUvec provides transparent pricing data so you can evaluate whether saladcloud offers competitive rates for your AI training, inference, or rendering workloads compared to alternatives like RunPod, Vast.ai, or Lambda Labs.
How saladcloud Compares to Other GPU Cloud Providers
See how saladcloud 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.