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Tenzro

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

Target Price per RU-hour:$1.00
Current Price Range:$1-5
Compared to Cloud GPU:$8-12/hour

Competitive pricing combined with hardware-verified security and offline capabilities creates unique value.

Revenue Distribution

Initial Phase:
90% to operators
10% to protocol
Mature Phase:
75% to operators
25% to protocol
Vs. Traditional Cloud:40-45% to operators

Node operators receive higher revenue share than traditional cloud models, creating stronger incentives.

Resource Value

H100 GPU:500 RUs
A100 GPU:500 RUs
T4 GPU:50 RUs
Storage (per TB):15 RUs
HSM (security node):10 RUs

Standardized values create transparency and enable fungibility across different resource types.