Self-operated inference API for open-weight LLMs and video models
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
Standard (pay-as-you-go, under $1K/month): List price with unified API, cost monitoring, usage limits, unlimited seats. Growth ($1K-$15K/month): 20% volume discount, quarterly billing, priority support, SLA. Scale ($15K-$40K/month): 30% volume discount, dedicated support, DPA. Custom ($40K+/month):
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
Zero-retention privacy policy
Smart routing optimization
Hardware adaptation per request
Inference engine kernel optimization
KV cache layer for token reuse
Unified API across model catalog
Cost and usage monitoring
Volume-based tiered discounting
Data Processing Agreement available
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
Single API key for access to leading models like DeepSeek, Kimi, and Qwen
Enterprise uptime and service guarantees without separate integrations
Zero-retention privacy with US governance and DPA support
Cost-efficiency through kernel optimization adopted by frontier labs
No integration rewrite required for teams already using OpenAI-compatible APIs
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