AgentGates vs Crusoe

Detailed side-by-side comparison to help you choose the right tool

AgentGates

AI Infrastructure

A machine-first marketplace for confidential virtual machines and model inference paid per request with USDC, available through MCP.

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Starting Price

Custom

Crusoe

🔴Developer

AI Infrastructure

AI factory company providing renewable-powered GPU cloud for training and inference at hyperscale.

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Starting Price

Custom

Feature Comparison

Scroll horizontally to compare details.

FeatureAgentGatesCrusoe
CategoryAI InfrastructureAI Infrastructure
Pricing PlansPlan details unavailable3 listed plans
Starting PriceCustomCustom
Key Features
  • • Intel TDX confidential VMs with public attestation pages
  • • Confidential and explicitly non-confidential inference tiers
  • • HTTP 402 x402 payments settled in USDC
  • • Renewable / wasted-energy-powered AI data centers
  • • H100, H200, and GB200 NVIDIA GPU clusters
  • • InfiniBand / NVLink fabric for high-bandwidth training

AgentGates - Pros & Cons

Pros

  • ✓Starts at $0.08 per hour for an attested confidential VM
  • ✓No conventional signup or permanent API key is required
  • ✓Pricing and attestation are machine-readable
  • ✓Prepaid balances cap delegated-key spending

Cons

  • ✗Requires wallet, USDC, network, and payment-retry expertise
  • ✗Prices vary with settlement costs and live catalogs
  • ✗Balances are non-refundable and stopped machines are deleted after grace
  • ✗Confidential hardware does not secure flawed code or model outputs

Crusoe - Pros & Cons

Pros

  • ✓Real sustainability story — meaningful for ESG-reporting customers
  • ✓Vertical integration enables pricing and capacity flexibility
  • ✓Sized for genuine frontier-scale training (thousands of GPUs)
  • ✓InfiniBand fabric matches what frontier labs require
  • ✓Strategic capacity commitments give predictable long-term pricing

Cons

  • ✗Not self-serve — no credit-card sign-up for small teams
  • ✗Sales-led procurement with multi-week lead times for large clusters
  • ✗Pricing only on negotiation — hard to comparison-shop quickly
  • ✗Geographic footprint smaller than the big-three hyperscalers
  • ✗Inference product is newer than the training-centric core business

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