⚡ POWERED BY NVIDIA DGX SPARK

GLADIATOR

Combat Ready Cyber Defense

Autonomous defense that learns, adapts, and responds without human intervention. Advanced threat intelligence meets enterprise-grade hardware. Deploy once. Defend forever.

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GLADIATOR NVIDIA DGX Spark Appliance
🏆 PHYSICAL APPLIANCE

Ships as Premium Turnkey Hardware

Every GLADIATOR deployment includes this production-grade NVIDIA DGX Spark appliance. Fully configured, tested, and ready to defend your enterprise from day one.

⚡ NVIDIA-accelerated intelligence at enterprise scale
🎯 Pre-trained defense models, continuously learning
🔒 Mission-critical reliability, zero trust architecture
📦 Deploy in hours, not months. Defend immediately.
NVIDIA
DGX SPARK

Enterprise AI Appliance Platform of Choice for GLADIATOR

Built on NVIDIA's most advanced AI platform, GLADIATOR delivers autonomous defense with the computational power to see threats others miss, respond before damage occurs, and learn from every engagement.

🚀 Unprecedented Speed
Detect and neutralize threats in milliseconds, not hours
⚡ Zero Friction
Production-ready from the moment it arrives. No integration, no configuration
🔒 Always Vigilant
Continuous protection backed by enterprise-grade infrastructure and support
🤖 Self-Evolving
Defense intelligence that improves autonomously with every threat encountered

Mission

Building the world's most advanced autonomous cyber defense system

🛡️

Autonomous Defense

Real-time threat detection and response powered by machine learning models trained on millions of attack patterns. Zero human intervention required.

🎯

Adversarial Training

Red team vs. Blue team adversarial training infrastructure using Foundation-Sec-8B models on NVIDIA DGX Spark for continuous improvement.

🌐

Distributed Mesh

Kubernetes-orchestrated honeypot network spanning multiple geographic regions. Decentralized threat intelligence gathering at scale.

24/7
Autonomous Operation
K3s
Orchestration
8B
Parameter Model
Real-time
Classification

Technical Capabilities

Enterprise-grade infrastructure designed for production deployment

⚡

NVIDIA DGX Spark

Purpose-built appliance leveraging NVIDIA's enterprise AI platform for maximum performance and reliability.

🤖

Foundation-Sec-8B

Custom-trained 8 billion parameter model specialized in cybersecurity threat detection and response.

🔄

K3s Orchestration

Lightweight Kubernetes distribution managing distributed honeypots across multiple nodes at scale.

📊

Real-time Analytics

Live threat classification, pattern recognition, and anomaly detection with sub-second response times.

🔐

Zero Trust Architecture

Post-quantum cryptography, mesh networking via Tailscale, and air-gap deployment capabilities.

🎓

Continuous Learning

Automated adversarial training cycles improving detection accuracy through red/blue team simulations.

System Architecture

Multi-layer defense infrastructure designed for resilience and scalability

🖥️ Hardware Layer
NVIDIA DGX Spark appliance with Apple Silicon M3 Ultra nodes (512GB RAM) for hybrid CPU/GPU acceleration
NVIDIA DGX Spark M3 Ultra 512GB RAM
🐳 Orchestration Layer
K3s Kubernetes managing distributed honeypot containers, model inference services, and data collection pipelines
K3s Docker Containerd
🤖 ML/AI Layer
Foundation-Sec-8B model for threat classification, MLX-optimized local LLMs for real-time analysis, BGE embeddings for pattern matching
Foundation-Sec-8B MLX BGE Qwen3-Next-80B
🗄️ Data Layer
PostgreSQL with pgvector for 768-dim embeddings, high-availability replication, 132K+ indexed threat signatures
PostgreSQL 18 pgvector HNSW Index
🌐 Network Layer
Tailscale mesh networking for secure node communication, distributed honeypot deployment across geographic regions
Tailscale WireGuard Zero Trust
📡 Application Layer
Real-time dashboards, threat intelligence APIs, automated response workflows via N8N, adversarial training orchestration
N8N Temporal REST APIs

Development Timeline

From concept to production-ready autonomous defense

Q4 2024
Project Inception
Initial architecture design, hardware procurement (Mac Studio M3 Ultra), and infrastructure setup. Database design with pgvector for threat signatures.
Q1 2025
Foundation Development
Core AYA platform development, PostgreSQL HA implementation, MLX model optimization, and adversarial training framework.
Q2 2025
K3s Integration
Kubernetes orchestration setup, honeypot container deployment, distributed mesh networking via Tailscale.
Q3 2025
Model Training
Foundation-Sec-8B adversarial training cycles on NVIDIA DGX Spark. Red/blue team simulation infrastructure. Real-world attack pattern collection.
December 2025
Production Release
GLADIATOR v1.0 production-ready. Turnkey NVIDIA DGX Spark appliance. Enterprise deployment to first customers.
2026+
Continuous Evolution
Ongoing model improvements, expanded threat intelligence, additional attack vector coverage, global deployment scaling.

Ready to Deploy GLADIATOR?

Contact us to discuss enterprise deployment and receive a personalized demo of the GLADIATOR autonomous defense platform.

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