Resource Units (RUs): Quantifying Compute Power
The standardized measurement system for compute resources in the Tenzro ecosystem, creating a fungible, transparent foundation for AI infrastructure.
The RU Formula
Resource Units provide a standardized way to measure and quantify computing power across the Tenzro network.
R = wc · P + ws · S + wai · A + wh · H
This formula calculates the total Resource Units (RUs) by weighting four key components:
- PCompute power (CPU/GPU/TPU)
- SStorage capacity
- AAI inference/training capacity
- HSecurity contribution (HSMs)
wc, ws, wai, wh:Weights tuned by the DAO
Example weights: wc = 0.5, ws = 0.3, wai = 0.15, wh = 0.05
Real-World Examples
GPU Compute Example
2 H100s, 10 A100s, 50 CPUs
Total: 14,950 RUs
Storage Example
1,000 TB of distributed storage
Total: 15,000 RUs
Security Example
~104 security nodes (HSMs)
Total: 1,040 RUs
Benefits of Resource Units
RUs provide a foundation for fair valuation, clear economics, and sustainable growth of the Tenzro ecosystem.
Standardized Measurement
RUs provide a unified way to quantify diverse computing resources, creating fungibility across different hardware types.
Resource-Backed Value
The TZR token is directly tied to RUs, creating a stable, resource-backed currency for the ecosystem.
Dynamic Adaptation
DAO governance can adjust weights to prioritize different resource types as network needs evolve.
Transparent Pricing
Target pricing of $1/RU-hour provides clear economics for both providers and consumers of compute.
RUs and TZR Tokenomics
How Resource Units connect to the TZR token, creating a compute-driven token economy.
Token Supply
Base Supply: 1 billion TZR tokens
Maximum Issuance: 100 million additional over 5 years
Burn Mechanism: Approximately 7.5 million TZR burned in first 3 months
S = 109 + Imax - ∑B, Imax = 108
Where S is total supply, Imax is maximum issuance, and ∑B is sum of burned tokens
Burn Formula
Token burning is determined by a formula that considers:
B = k · R · P0.5 · C0.3 · D0.4 · A-0.7
- B: Number of tokens to be burned
- R: Resource Units
- P: Compute power
- C: Operational costs
- D: Location demand
- A: Network abundance
- k: Constant tuned by DAO
This dynamic formula ensures that token burning adapts to network conditions and usage.
RU Economics
The transparent, sustainable economic model driving Tenzro's decentralized compute infrastructure.
Pricing Model
Competitive pricing combined with hardware-verified security and offline capabilities creates unique value.
Revenue Distribution
Node operators receive higher revenue share than traditional cloud models, creating stronger incentives.
Resource Value
Standardized values create transparency and enable fungibility across different resource types.