Deploy GPU applications on supported community hardware and cloud capacity
Private AI inference for the enterprise
Stage
Startup
Not given
Founded
2026
Not given
Based in
SA
SE
Pricing model
Paid
Freemium
Pricing
One published price per GPU model in USD per GPU-hour. Hosts keep 90% of completed rental fees and Petabyte keeps 10%. A reservation holds funds, with final charges and returned balance following settlement after the run completes.
SDK: Free for building. Device plans: Garage $0/mo (up to 5 active devices), Pro $49/mo + $0.05 per active device, Scale custom pricing. Onde Cloud: Per million tokens ranging from $0.12 to $6.00 for input tokens, $0.005 to $1.20 for cached input, and $0.33 to $30.00 for output tokens depending on t
Key features
Choose from available GPU hardware with published hourly rates
Review cost estimates before deployment starts
Start from ready-made template applications
Monitor workload lifecycle states, logs and outputs
Connect your own GPU hardware as a host
Escrow-based payment system for secure transactions
Support for inference model requests
Native SDKs for Swift, Rust, Flutter, React Native with single unified API
85ms first-token latency on Apple Silicon
Zero server cost for on-device inference
No data egress - inference stays on-device
GDPR and HIPAA compliant by architecture
OpenAI-compatible Onde Cloud API
Global state sync between device and cloud
AES-256 encrypted cloud burst
Data never trained on - no model fine-tuning on customer data
What makes it different
Escrow payment ensures work is delivered before host is paid
Transparent pricing: all rates published upfront with no surprises
Minimal transaction fees: hosts keep 90% of rental earnings
Automatic refunds for failed rentals on platform side
Runs entirely on-device with zero latency round-trips
Built with vertical integration from device runtime to cloud infrastructure
Same unified API across four language platforms with no platform abstraction tax
Compliant by architecture - data residency follows the device