Deploy any open model from Ollama or Hugging Face as a private, OpenAI-compatible API
Rent GPU compute with a prepaid budget
Stage
Not given
Not given
Founded
Not given
Not given
Based in
US
Not given
Pricing model
Paid
Paid
Pricing
Pay as you go: $0/month with prepaid credits from $10. Pro: $29/month with $29 monthly credits. Business: $299/month with $299 monthly credits. GPU pricing: NVIDIA L4 $0.95/hour ($0.000264/second, $1,180/month always-on); NVIDIA L40S $3.20/hour ($0.000889/second, $3,974/month always-on); 4x NVIDIA L
Rentals start at $5. Pricing varies by GPU model and availability. Hourly rates are shown at checkout with budget and estimated runtime calculated for the selected configuration.
Key features
Deploy models with one command via CLI
OpenAI and Ollama API compatibility
Scales to zero with configurable idle timeout (60 seconds to 60 minutes)
Private endpoints with no prompt logging
Supports GGUF and safetensors model formats
Free model storage (10GB to 1TB depending on plan)
Always-on option for no cold starts
Batch jobs pricing 30-50% cheaper
Live GPU catalog with current inventory and pricing
Payment via x402 v2 or MPP without account signup
API, CLI, MCP server, and Agent Skill automation tools
SSH and Jupyter access to instances
Clean Ubuntu environment with NVIDIA CUDA preinstalled
Budget-based rental with transparent hourly pricing at checkout
Live ghost/stall fallback for failed provider instances
Money-back guarantee if GPU cannot be started
What makes it different
No Dockerfile or server management required
Use your existing OpenAI or Ollama client with one URL change
Pay only for actual compute seconds used, not monthly subscription
Cold start time never billed and requests wait instead of failing
Prompts and outputs never logged or used for training
No account required for agent payments via blockchain protocols
Flexible budget-based rental with live pricing
Multiple automation interfaces for developers
Telegram-based guided rental flow
Instant provisioning after payment with credentials delivered in minutes