Local LLM hardware benchmarks with measured tokens per second from real home AI rigs
Deploy GPU applications on supported community hardware and cloud capacity
Stage
Not given
Startup
Founded
Not given
2026
Based in
Not given
SA
Pricing model
Free
Paid
Pricing
Not given
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.
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
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
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
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
RigBase