Persistent Linux computers for AI agents, from about $0.03 an hour
Stage
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Founded
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Based in
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Pricing model
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Paid
Pricing
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ac-2: $0.000008 per second ($0.0288 per hour), $13.50 monthly cap. ac-4: $0.000016 per second ($0.0576 per hour), $26.10 cap. ac-8: $0.000032 per second ($0.1152 per hour), $49.50 cap. ac-16: $0.000064 per second ($0.2304 per hour), $89.10 cap. ac-32: $0.000128 per second ($0.4608 per hour), $178.20
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
Full Debian 13 Linux VM with root access
Docker and Docker Compose included
Chromium desktop with screenshots and input actions
Private HTTPS preview URLs for any port
SSH access including VS Code over SSH
Pause and resume with state preservation
HTTPS API with MCP server support
Per-second billing with monthly caps
Snapshots and private images
Spend controls and monthly limits
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
Persistent state preserved across pause and resume cycles