Nodia Atlas

Overview

Nodia Atlas is the flagship node for enterprise and research-grade AI computing. Engineered for maximum throughput and scalability, Atlas combines GPU-accelerated processing, modular upgrades, and top-tier security—making it the ultimate workhorse in the Nodia mesh. At a $549 MSRP, Atlas pays for itself in days, delivering $3 600+ per month even at a €1 million NODIA market cap under conservative usage.


Key Features

  • Ultra-High Reward Rate

    • 50 NODIA per task base rate

    • ×10 Early-Launch Bonus (first 3 months)

    • ×1.1 Uptime Multiplier for >99% availability

  • Next-Gen GPU Compute

    • NVIDIA Jetson Orin NX (2048-core GPU)

    • Optional PCIe-based external GPU expansion

  • Massive Memory & Storage

    • 16 GB LPDDR5 RAM

    • 512 GB NVMe SSD (expandable via M.2 slot)

  • Advanced Cooling & Connectivity

    • Smart liquid-cooling loop for sustained high loads

    • Dual 10 GbE ports + Wi-Fi 6E + 5G modem support

  • Enterprise Security

    • Secure Boot, TPM 2.0, AES-256, hardware-anchored zk-SNARK proofs

  • Modular Design

    • Hot-swappable SSD and GPU modules

    • Rack-mountable chassis (1 U)


Technical Specifications

Component
Specification

GPU

NVIDIA Jetson Orin NX (2048-core GPU)

RAM

16 GB LPDDR5

Storage

512 GB NVMe SSD (+ M.2 slot for expansion)

Connectivity

Dual 10 GbE, Wi-Fi 6E, 5G modem slot

Expansion

PCIe ×4 slot for external GPUs or accelerators

Power

100–240 VAC → 24 VDC, 200 W adapter included

Cooling

Smart liquid-cooling with temperature-adaptive pump

Security

TPM 2.0, Secure Boot, AES-256, zk-SNARK proofs

Dimensions

430 × 210 × 44 mm (1 U rack)

Weight

5.2 kg

Operating Temp.

–20 °C – 70 °C

Certifications

CE, FCC, RoHS, UL


Ideal Use Cases

  1. Distributed Model Training Large-scale deep-learning training jobs with decentralized federated learning.

  2. Real-Time Video Rendering High-resolution CGI rendering, live-stream analytics, and AR/VR workflows.

  3. Smart-City Command Centers Centralized orchestration of decentralized edge analytics for traffic, surveillance, and energy management.

  4. Scientific Computing Genomic sequencing, climate modeling, and complex data simulations at the edge.


Setup Guide

  1. Unbox & Inspect Ensure package includes: Atlas unit, liquid-cooling radiator, power adapter, Ethernet cables, quick-start guide.

  2. Mount & Connect – Install in a standard 19″ rack or place on a stable surface. – Connect dual 10 GbE and/or Wi-Fi 6E. Optionally install a 5G modem. – Fill and bleed the liquid-cooling loop per instructions.

  3. Register on Dashboard – Log in at dashboard.nodia.io with your Phantom Wallet. – Devices → Add Device → scan the QR code on Atlas base → assign a name.

  4. Authorize & Activate – Approve the on-chain Solana transaction. – Atlas status switches to Live and automatically begins task processing.


🚀 Earnings Projection

Assumptions:

  • Market Cap: $ 1 000 000 → $ 0.00111 / NODIA

  • Early-Launch Bonus: ×10 (first 90 days)

  • Uptime Multiplier: ×1.1

Usage Profile
Tasks/Day
Reward/Task
Daily NODIA
Monthly NODIA
Monthly Revenue (€)

Conservative

200

50×10×1.1 = 550

110 000

3 300 000

$ 3 663

Moderate

500

550

275 000

8 250 000

$ 9 158

Aggressive

1 000

550

550 000

16 500 000

$ 18 315

Even at just 200 tasks/day, Nodia Atlas generates $ 3 663/month—covering its $550 cost in under one week.


Troubleshooting & Support

Issue
Remedy

No Power & Boot Failure

Verify AC input, reseat power connectors, test outlet.

Network Connectivity Issue

Check 10 GbE link lights, confirm router QoS, reboot network.

Cooling Fault

Inspect liquid loop for leaks or airlocks; re-bleed if needed.

Underperformance

Monitor GPU/CPU utilization in Dashboard; update firmware.

Firmware Update Error

Reboot Atlas; if persists, apply update via Device Settings.

For enterprise-grade support, open a ticket under Dashboard → Helpdesk Or contact us at support@nodia.io


Pro Tips

  • Scale Horizontally: Link multiple Atlas units in a “High-Performance Cluster” for linear throughput gains.

  • Leverage Hybrid Workloads: Combine Atlas with Edge nodes to offload light inference and maximize Atlas capacity for heavy tasks.

  • Automate Monitoring: Use the Dashboard API to trigger auto-scale events based on real-time load and earnings thresholds.

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