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Reviewed by Shawn H. — Founder, AITrustList

Last verified MethodologyAI tools are ranked by traffic signals, not paid placement.

Vast.ai logo

Vast.ai

Rent GPUs on demand for AI training and inference

Model Training
PaidVerified Sep 30, 2026

API-native GPU cloud marketplace with 20,000+ GPUs across 40+ data centers, per-second billing, and instant deployment for AI workloads.

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Vast.ai alternatives
Screenshot 1

Pros & cons

Independently written by the AITrustList editorial team.

Pros

  • Per-second billing with transparent, real-time marketplace pricing
  • 20,000+ GPUs across 40+ data centers and 68+ GPU types
  • API-native provisioning via CLI, Python SDK, and REST API
  • Low $5 minimum to start, no contracts or sales calls
  • SOC 2 certified enterprise-ready infrastructure
  • Serverless inference with autoscale-to-zero for cost efficiency

+2 more pros not shown

Cons

  • Requires prepaid credit before any GPU can be launched
  • Pricing fluctuates with supply and demand, complicating cost forecasting
  • No dedicated mobile app for managing instances
  • Enterprise contracts and support require contacting sales
  • Performance and reliability vary across heterogeneous third-party hosts
  • Programmatic workflows require API key setup and CLI/SDK familiarity

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Vast.ai Pricing

Pricing and commercial details available on the current listing.

Pricing model
Paid
Starting price
$5 minimum credit
Pricing URLvast.ai

About Vast.ai

What it is, how to use it, and the full listing description.

What is Vast.ai?

Vast.ai is a GPU cloud rental platform aggregating 20,000+ GPUs across 40+ data centers, offering on-demand compute for AI training, inference, and rendering with per-second billing.

How to use Vast.ai?

Create an account, add credit starting at $5, and obtain an API key from the console. Search GPUs by model, VRAM, price, or availability via console or API, then launch instances in seconds. Optionally deploy pre-configured models from the Model Library, or scale to dedicated multi-node Clusters for large training runs.

Core features of Vast.ai

  • GPU Cloud with 20,000+ GPUs across 40+ data centers and 68+ GPU types
  • Serverless inference endpoints with autoscaling to zero and pay-per-compute-time
  • Dedicated multi-node Clusters with InfiniBand for large-scale training
  • CLI, Python SDK, and REST API for programmatic GPU provisioning
  • Per-second billing with transparent, real-time supply-and-demand pricing
  • Model Library with pre-configured templates for popular open-source models

Target audience of Vast.ai

AI DevelopersDevelopersData ScientistsStartupsEnterprises

Use cases of Vast.ai

  • #1Training and fine-tuning large language and vision models
  • #2Deploying LLM and diffusion model inference endpoints
  • #3Running batch data processing and GPU-accelerated workloads
  • #4Graphics rendering and 3D visualization pipelines
  • #5Agent-driven infrastructure provisioning and optimization

Vast.ai is a GPU cloud marketplace that lets developers and AI teams rent high-performance GPUs on demand. The platform aggregates 20,000+ GPUs across 40+ data centers and 68+ GPU types, with real-time, supply-and-demand-driven pricing. Users can provision compute via a web console, CLI, Python SDK, or REST API, with per-second billing and a $5 minimum starting credit.

Three deployment modes are offered: GPU Cloud for on-demand single instances, Serverless for zero-ops model inference with autoscaling, and Clusters for dedicated multi-node training with InfiniBand networking. A Model Library ships pre-configured templates for popular open-source models such as Qwen, Kimi K3, and Minimax H3.

Common workloads include LLM inference, model training and fine-tuning, AI image and video generation, audio-to-text transcription, batch data processing, graphics rendering, and agent-driven compute procurement. Vast.ai is SOC 2 certified and used by teams at Bosch, IBM, Cognition, Brave, and Speechify.

Vast.ai Website Traffic Analysis

Traffic and engagement metrics for vast.ai.

Visit Over Time

Vast.ai traffic grew by 37.2% over the last 12 months, reaching 1.2M monthly visits. It is currently tracked in the Model Training category on AITrustList.

Monthly Visits1.2M
Avg. Visit Duration05:41
Page per Visit7.13
Bounce Rate32.42%
Sep 2025 - Aug 2026 All Traffic

Geography

Top 5 Regions

📍United States
12.30%
📍United Kingdom
6.60%
📍India
5.52%
📍Uzbekistan
3.89%
📍Poland
3.85%
Sep 2025 - Aug 2026 Desktop Only

Traffic Sources

Direct
72.55%
Organic Search
15.06%
Organic Social
3.56%
Referrals
2.68%
GenAI
2.58%
Paid Search
2.09%
Mail
0.81%
Paid Social
0.45%
Display Ads
0.21%
Affiliate
0.01%
Sep 2025 - Aug 2026 Worldwide Desktop Only

AI Referral Traffic

ChatGPT
89.0%
Google Gemini
9.1%
Perplexity AI
1.5%
Sep 2025 - Aug 2026 AI Engine Share Trends

Top Keywords

KeywordTrafficCost Per Click
vast ai43.5K$ 1.40
vastai6.8K$ 0.97
rent rtx 409010.6K--
vast.ai4.9K$ 1.84
ollama1.3M$ 1.57

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FAQ from Vast.ai

Questions and answers included with this listing.

How much does it cost to start on Vast.ai?

You can start with as little as $5 in credit. Pricing is per-second and set by real-time supply and demand across the marketplace.

How do I deploy a GPU on Vast.ai?

Add credit, grab your API key from the console, search GPUs by model, VRAM, price, or availability via console or API, then launch an instance in seconds.

What GPU types and locations are available?

Vast.ai lists 68+ GPU types across 40+ data centers, including high-end accelerators such as H100 SXM and B300, subject to current supply.

Does Vast.ai support programmatic access?

Yes. You can deploy and manage instances via the CLI, Python SDK, or REST API, the same interface used by AI agents to provision compute.

Is Vast.ai suitable for enterprise use?

Vast.ai is SOC 2 certified and offers enterprise contracts, dedicated Clusters with InfiniBand, and sales-led support for larger deployments.