Buy Nodl’s via our approved partners. License availability is governed by our strategic rollout path
See below the @hub live dashboard running simulation data
License only
Single, Cluster, Farm – from $90
Minimum hardware requirements apply – see here
Coming Soon
Nodl Flux S enables decentralized compute node operation for AI workloads, agent execution, encrypted multi-tenant processing, and optional DECC/TEE participation. It is a software layer installable on approved hardware or cloud VMs that meet the minimum specification and security envelope.
Component | Minimum Spec (Standard Compute) | Enhanced Spec (for DECC/TEE and Advanced Revenue Use) |
---|---|---|
CPU | Intel N100 / AMD 3020e (4-core, efficient x86) | Intel Core i7-1365U / AMD Ryzen 7 Pro 7840U w/ SEV or Intel TDX |
Memory (RAM) | 8 GB DDR4 | 32 GB DDR5 ECC |
Storage | 256 GB NVMe SSD (PCIe Gen3) | 1 TB NVMe Gen4 SSD (with secure erase & OPAL 2.0) |
TPM / TEE | Optional (for basic operation) | Required: TPM 2.0 + Intel TDX or AMD SEV-SNP |
Network | Gigabit Ethernet + Wi-Fi 5 | Dual GbE / Wi-Fi 6E / WireGuard VPN support |
Power | < 15W TDP for CPU | ≤ 30W (for sustained workloads with TEE) |
Form Factor | Mini PC, x86-based SBC (e.g., Intel NUC) | Industrial NUC, Lenovo ThinkEdge, Fitlet3, ZBOX Edge |
GPU (optional) | Integrated GPU sufficient for basic workloads | Optional: NVIDIA T600 / RTX A2000 for local AI inferencing |
If deploying Nodl Flux S in a cloud environment, the minimum instance types are:
Cloud Provider | Minimum Instance Type | For TEE/DECC Support |
---|---|---|
AWS | t3a.medium or c6a.large | m6a.large + Nitro Enclaves |
Azure | B2s or D2as_v5 | DCsv3 or DCdsv3 (Intel SGX) |
GCP | e2-standard-2 | confidential-vm-e2 (AMD SEV) |
Minimum cloud image support:
Ubuntu 22.04 LTS
Docker (latest)
Flatpak or Snap (optional GUI layer)
WireGuard or Tailscale for private mesh
Deployment Tier | Required Hardware Class | DECC/TEE Needed | Example Use Cases | |
---|---|---|---|---|
Basic Node | N100 / 3020e Mini PC | No | Caching, relay, federated learning helper nodes | |
Ryzen 5 / i5 11th Gen | Optional | Inference, micro-batching, local token models | ||
Trusted Node | Ryzen 7 Pro / Core i7 w/ TEE | Yes | AI agent hosting, secure data processing | |
Zetta-Linked Node | Same as above + bonded storage | Yes + Storage | Confidential workflows, encrypted edge compute |
OS Compatibility: Ubuntu 22.04+, Debian 11+, Arch Linux (tested)
Runtime:
Node.js 20+
Docker + Compose
Python 3.11+
Dependencies:
TPM modules for attestation (if enabled)
Secure boot enabled in BIOS/UEFI (recommended)
Network:
Static IP or dynamic DNS
Port 443, 5000, and custom mesh ports (as configured)
Telemetry:
Optional but recommended (for reward audit + uptime validation)
License Key required per node (tied to hardware fingerprint or cloud instance ID)
Personal and commercial use permitted under Nodl Operator Agreement
Transferable only with approval from WNode Ltd
DECC/TEE nodes must pass hardware attestation on boot
All data in transit must use TLS 1.3 / WireGuard
No PII processing unless explicitly permitted by user
Audit logs retained for 12 months for SLA compliance
Automatic updates via secured repository (signed packages)
LTS release cycle: 18 months
Support tier: community (standard), SLA-backed (for partners)
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