📄 Technical Specifications & Architecture

Librae System Documentation

Geospatial intelligence infrastructure requirements, offline installation sequences, and zero-egress cybersecurity compliance protocols.

1. Hardware Specifications

CAHAYA executes high-fidelity point-cloud modeling and local LLM reasoning entirely on client hardware. The host machine must satisfy the following minimum and recommended requirements:

Recommended Host Configurations
CPU: Intel Xeon / AMD Threadripper (8+ cores) or Apple M-Series Max/Ultra.
RAM: 32 GB Minimum (64 GB or 128 GB recommended for multi-site simulations).
Storage: 250 GB NVMe SSD (reserved for point-clouds and local weights).
Local GPU Scaling Tiers
🚀 Cahaya Edge (7B model): 1x NVIDIA RTX 4060 (8GB VRAM) or Apple M-series (16GB Unified).
🚀 Cahaya Standard (32B model): 1x NVIDIA RTX 4090 / RTX A6000 (24GB+ VRAM).
🚀 Cahaya Enterprise (72B model): 2x NVIDIA H100 / A100 (144GB+ total VRAM).

2. Step-by-Step Offline Installation

For deployment in high-security, air-gapped environments, follow this installation sequence:

01
Extract Standalone Archive

Extract the compiled package to `/opt/lenuda/` on Unix-like operating systems or `C:\Program Files\Lenuda\` on Windows workstations.

02
Run Virtual Environment Initialization

Execute `chmod +x install.sh && ./install.sh` (Unix) or run `install.bat` as Administrator (Windows). This configures local virtual environments and seeds embedded local background API engines.

03
Seed Offline Model Weights

Download and place the designated model weights directly into the `models/` directory of the application root.

04
Execute Hardware Handshake

Bind the workstation license key by running: `python3 lenuda_cli.py --status`. Record the unique SHA-256 System Hardware Fingerprint and transmit it to Librae AI Labs to receive your annual activation token.

3. Cybersecurity & Compliance Enforcement

CAHAYA complies with strict government and defense security directives regarding data privacy and zero-trust computing:

Zero-Egress Isolation

The application binds locally to loopback interface `127.0.0.1`. It programmatically intercepts and blocks all outbound external network calls.

Immutable File Ledger

Files ingested into the simulation lab (like LiDAR points or raster layers) are validated against local SHA-256 Merkle root receipts. Any file modifications cause instant integrity failures.

4. High-Fidelity 3D Simulation Rendering

Immersive point-cloud and physics simulations are executed on the host's GPU using the Librae Core 3D Rendering Engine. By running a secure headless rendering system, CAHAYA streams a high-framerate rendering frame (30 FPS) directly to the local rendering container over secure local WebSockets. WGS 84 spatial coordinates are preserved natively via deep spatial mappings.

Technical White Papers & Compliance Dossiers

Download official publication-grade white papers, 16-test empirical benchmark reports, and SIRIM QAS ISO standards compliance dossiers.

🌴

CAHAYA Executive White Paper (PDF)

Decoupled SE(3) Lie Group Tensor Engine, continuous manifold geometry, and MPOB estate optimization.

📥 Download Executive White Paper (12 Pages) →
📊

16-Test Empirical Benchmark Report (PDF)

Certified mathematical proof of 9.90e-31 MSE zero drift under 64-bit continuous SE(3) transformations.

📥 Download Benchmark Receipts (PDF) →
🛸

LEI Embedded Drone Intelligence (PDF)

1.58-bit BitNet SIMD matrix kernel, 0.0564s multi-sensor fusion, and CAAM CAD 6011 aviation compliance.

📥 Download Drone White Paper (PDF) →
🛡️

LIA Cyber-Immunity Master Blueprint (PDF)

Five Organs architecture, zero-trust eBPF telemetry, deterministic BNF firewall, and BNM RMiT readiness.

📥 Download Cyber Blueprint (PDF) →
📑 View Complete 11-Paper Institutional Library On Homepage →

BAYU

Librae AI Intelligence Agent

I am BAYU— Librae AI Labs' autonomous intelligence agent. Voice of Nature.

Ask about CAHAYA, LENUDA, pricing, EUDR compliance, or request a trial license.