Vast.ai provides a cost-effective GPU rental marketplace with a real-time bidding system, offering affordable access to various NVIDIA GPUs through community-hosted compute resources.
| Name | vast |
| Total Instances | 6 |
| Minimum Price | $0.23/hr |
| Maximum VRAM | 94 GB |
| Available GPU Models |
Vast.ai provides a cost-effective GPU rental marketplace with a real-time bidding system, offering affordable access to various NVIDIA GPUs through community-hosted compute resources.
Ready to rent GPUs from vast? Click below to explore available instances and pricing.
Browse Vast.ai Marketplace →| Accelerator | Price/Hour | VRAM | Type | Action |
|---|---|---|---|---|
| RTX 4090 | $0.40 | 24 GB | Ada Lovelace | View GPU → |
| RTX 6000 Ada | $0.77 | 48 GB | Ada Lovelace | View GPU → |
| H100 SXM | $2.14 | 80 GB | Hopper | View GPU → |
| A100 SXM4 | $1.34 | 80 GB | Ampere | View GPU → |
| H100 NVL | $2.33 | 94 GB | Hopper | View GPU → |
| RTX 3090 | $0.23 | 24 GB | Ampere | View GPU → |
Explore GPU specifications and compare pricing for vast
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Check CUDA compute capability and AI feature support for different GPUs
View Reference →vast is a leading GPU cloud provider offering 6 instances across 6 different GPU models. With pricing starting at $0.23/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 SXM4, H100 NVL, H100 SXM, enabling a wide range of AI/ML applications from deep learning training to real-time inference.
When choosing vast 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 vast's pricing with other providers using our cost estimator tool. Many users find that vast 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 vast's website to create an account and start using their GPU instances.
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