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
Constant-state attention: models serve any context length from the same memory per request
HCGM: models run from disk storage instead of memory
M-Rail: context processed by a model can be reused instantly in future requests
CPUDA/sGPU: run unmodified CUDA programs on CPUs with bit-identical results
Organ grafting: transfer capabilities between models without training
Personal instruction set (ISA) compiled on device from phone signals
Population ISA: compile laws from many people without personal records
Digital twins of customers, fleets, cities or markets
Results identical across all machines and architectures
Computation cost follows novelty not data size
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
Constant memory cost regardless of context length or data size
Exact reuse: every computed result is kept and reused instantly
Portable execution with bit-identical results across all hardware
Models run from storage without retraining or fitting in memory
Privacy-preserving: raw data never leaves the device
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