Local LLM hardware benchmarks with measured tokens per second from real home AI rigs
Private AI inference for the enterprise
Stage
Not given
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Founded
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Based in
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SE
Pricing model
Free
Freemium
Pricing
Not given
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
172 real home AI builds with measured performance data
Performance metrics for 31 current LLM models
Search by GPU, VRAM, budget and target model
VRAM and KV cache calculator
All results linked to original public sources
Comparison guides and hardware recommendations
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
Real measured performance data from 172 actual home AI rigs, not marketing claims
Every benchmark result linked to its original public source for verification
Open data under Creative Commons license
Practical guides for choosing AI hardware by budget and model
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
RigBase
Onde Inference