Clay vs Vast.ai

Side-by-side comparison to help you choose the best tool.

Clay

freemium
4.7 / 5.0

Clay is a modern GTM (go-to-market) data enrichment and outreach platform that combines 75+ data providers with an AI research agent called Claygent. It lets sales and growth teams build hyper-personalised outreach at scale by automatically enriching lead lists with company news, job changes, tech stack data, and LinkedIn activity - then using AI to write tailored messages for each prospect.

Best for: GTM engineers and sales teams building highly personalised outbound campaigns with automated AI research
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Vast.ai

freemium
4.1 / 5.0

Vast.ai is a decentralised GPU marketplace that connects AI researchers and developers with GPU compute sourced from a global network of independent providers - including data centres and individuals with spare GPU capacity - at prices significantly lower than traditional cloud providers. Users can search, filter, and rent GPU instances by price, location, reliability score, and hardware specifications, making it one of the most cost-practical options for AI training and inference. Vast.ai supports Docker-based workloads and offers both on-demand and interruptible instance types.

Best for: Cost-conscious AI researchers, hobbyists, and startups who prioritise price over guaranteed uptime for training and experimentation.
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Feature Comparison
Feature Clay Vast.ai
Pricing freemium freemium
Category - -
Rating ★★★★½ 4.7 ★★★★☆ 4.1
Best For GTM engineers and sales teams building highly personalised outbound campaigns with automated AI research Cost-conscious AI researchers, hobbyists, and startups who prioritise price over guaranteed uptime for training and experimentation.
Views 5 4
Pros & Cons — Clay
Pros
  • Unmatched data enrichment depth
  • Automates hours of manual prospect research
  • Flexible no-code table interface
Cons
  • Steep learning curve for new users
  • Credit-based pricing can add up quickly
Pros & Cons — Vast.ai
Pros
  • Among the cheapest GPU compute available anywhere
  • Large inventory of diverse GPU types including rare models
  • Transparent provider reliability scores help with vendor selection
Cons
  • Provider reliability varies — not suitable for critical production workloads
  • Less polished UX compared to managed cloud platforms
Key Features — Clay
  • Claygent AI research agent
  • 75+ data enrichment sources
  • AI-generated personalised outreach
  • Waterfall enrichment logic
  • CRM & sequencer integrations
Key Features — Vast.ai
  • Decentralised GPU marketplace with global providers
  • Advanced filtering by price, GPU type, reliability, and location
  • Interruptible and on-demand instance types
  • Docker container support for any workload
  • Significantly lower prices than major cloud providers

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