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Example Node Configurations (Q4 2025)

This document outlines example compute nodes, their specifications, estimated costs, performance profiles, and potential monthly income based on the ThreeFold / GeoMind model for decentralized AI, compute, and storage nodes.

Nodes are divided into Certified and Non-Certified types, each with defined hardware specs and income models.


⚙️ Node Specifications

| Type | Estimate Cost (USD) | CPU Cores | Passmark | MEM (GB) | SSD (GB) | AI (GB) | TPS | | --------------------------------- | ----------------------- | ------------- | ------------ | ------------ | ------------ | ----------- | | Non-Certified | | | | | | | | | 3Node Home | $500 | 16 | 22,000 | 32 | 1,000 | | | | Large TFGrid Node | $2,000 | 36 | 20,000 | 512 | 4,000 | | | | Large TFGrid Node 2 | $1,200 | 36 | 20,000 | 128 | 2,000 | | | | Certified (new batch Q4 2025) | | | | | | | | | Mini 1 | $350 | 16 | 16,000 | 32 | 1,000 | | | | Mini 2 | $800 | 24 | 25,000 | 64 | 2,000 | | | | Mini 3 | $1,000 | 24 | 25,000 | 128 | 4,000 | | | | Mini AI 1 | $2,000 | 32 | 50,000 | 128 | 4,000 | 128 | 20 | | Nvidia 6000 (1x) | $15,000 | 24 | 35,000 | 128 | 4,000 | 96 | 350 | | Nvidia 6000 (2x) | $30,000 | 24 | 35,000 | 128 | 8,000 | 192 | 700 | | Tenstorrent 8x | $30,000 | 24 | 35,000 | 128 | 8,000 | 192 | 1,000 |


Node Economics

Hardware Cost and Income Potential

Model Max # Slices HW Cost / month (5 Y) Min Income / Month Max Income / Month Nr Slices
Mini 1 25 8 10.92 126 7
Mini 2 25 13 23 270 15
Mini 3 25 17 48.36 558 25
Mini AI 1 4 33 52 600 4
Nvidia 6000 (1x) 1 250 390 4,500 1
Nvidia 6000 (2x) 2 500 780 9,000 2
Tenstorrent 8x 2 500 780 9,000 2

💡 Income split: 80 % to hoster, 10 % burned, 10 % to ThreeFold (protocol).


Cloud Credit (CC) Pricing

Currency Basis Value
1 CC = 1/1000 g of gold ≈ 0.128 USD (as of Oct 8 2025)
Equivalent 2 TFT (TF token units)

Pricing for 1 Slice

Cores Perf Mem (GB) SSD (GB) TPS Min Price / Month (CC) Max Price / Month (CC) Min Price / Hour (CC) Max Price / Hour (CC)
2.3 3,143 4 143 0 1.2 12 0.0033 0.0250
1.8 1,000 25.4 200 0 7.6 76.2 0.0212 0.1588
1.8 1,000 6.2 100 0 1.9 18.6 0.0052 0.0388
2.3 2,286 4 143 0 1.2 12 0.0033 0.0250
1.6 1,667 4 133 0 1.2 12 0.0033 0.0250
1.0 1,000 5.0 160 0 1.5 14.9 0.0041 0.0310
8.0 12,500 31 1,000 5 10 100 0.0278 0.2083
24 35,000 124 4,000 350 300 3,000 0.8 6.3
12 17,500 62 4,000 350 300 3,000 0.8 6.3
12 17,500 62 4,000 1,000 300 3,000 0.8 6.3

Note: These calculations assume no CPU oversubscription — in real deployments, users can utilize higher effective CPU capacity.


Bid Tiers (ThreeFold Willing to Set)

Type # Nodes Min Perf MEM (GB) GPU (GB) Price / Month (CC)
Std Compute Slice 20,000 2,000 4 1.2
Mem Heavy Slice 2,000 2,000 8 2.4
AI Slice 2,000 25,000 124 50
AI Slice Big Nvidia 1x 50 35,000 124 96 500
AI Slice Big Nvidia 2x 50 35,000 250 192 1,000
AI Slice Big Tenstorrent 8x 50 35,000 250 192 1,000

Total:

  • 24,150 slices
  • 253,800 GB total memory
  • ≈ 3,965,625 CC monthly potential (≈ $507,600)

Based on new AI 395+ nodes. Dedicated memory & GPU per slice (full node model).


Pricing Logic

  • Bids can be set per 1 hour, 1 month, or longer durations.
  • Prices adjust dynamically based on reservation length (shorter = higher price).
  • Reflects minimum reservation duration logic from Mycelium / ThreeFolds marketplace.

Summary Explanation

  • Each node is a physical or certified compute machine that can be divided into slices — independent virtual allocations (e.g., 2 cores, 4 GB RAM, 143 GB SSD = 1 slice).

  • Certified Nodes (Mini, AI, GPU variants) are hardware validated for stable and efficient participation in the decentralized grid.

  • Each node has:

    • A capital cost (hardware)
    • A hardware amortization over 5 years (monthly cost)
    • A potential monthly income based on slice sales (compute / AI / storage)
  • Hosters receive 80 % of income, 10 % is protocol burn, 10 % to ThreeFold.

  • The income range shows minimum guaranteed and maximum potential usage scenarios.

  • Cloud Credits (CC) are the internal accounting unit pegged to gold, maintaining stability and fairness.