vast GPU Cloud Provider

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.

vast Cloud Provider - GPU Computing Services

Provider Overview

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.

Get Started with vast

Ready to rent GPUs from vast? Click below to explore available instances and pricing.

Browse Vast.ai Marketplace →

About the Provider

Website

https://vast.ai

Regions

global

GPU Models

6

Instances

6

Available Instances

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 →

Related Resources

GPU Comparison

Compare GPUs side-by-side to find the best match for your workload

Compare GPUs →

Compute Capability

Check CUDA compute capability and AI feature support for different GPUs

View Reference →

All Providers

Browse and compare all GPU cloud providers in one place

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About vast GPU Cloud

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.

External Resources

Learn more about GPUs from these authoritative sources:

NVIDIA CUDA Documentation →

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

Updated April 21, 2026 • 2026 Edition

Ready to Get Started?

Visit vast's website to create an account and start using their GPU instances.

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