Enterprise AI/ML Infrastructure

Investor Summary

This platform is the operational backbone for the entire company. It delivers a multi-service, AI-ready environment with automated secret management, full observability, and disaster recovery — enabling rapid experimentation and production-grade deployment without recurring public cloud costs.

While competitors burn through six-figure annual cloud budgets, our infrastructure runs AI workloads at near-zero marginal cost. The platform hosts 50+ containerized services including model inference, vector databases, and real-time analytics — all with enterprise-grade monitoring and automated failover. The hardware investment pays for itself within the first year compared to equivalent AWS or Azure deployments.

The architecture is designed around a dual-server topology connected over a 2.5Gb private network, with ZFS providing enterprise-grade data integrity through checksumming, copy-on-write snapshots, and automatic self-healing. This foundation ensures that AI workloads run on infrastructure that meets the same reliability standards as Fortune 500 data centers.

Product Capabilities

✓ Container platform running 50+ AI/ML services, databases, and web tooling
✓ AI Router with OpenAI-compatible APIs for local and external models
✓ RAG pipeline with web crawling, document parsing, and vector storage
✓ Full observability stack (Prometheus, Grafana, Loki, Jaeger)
✓ 1Password-based secret injection and audit-friendly runbooks

Deep Dive: Hardware Architecture

Purpose-built hardware topology engineered for maximum throughput on AI inference workloads while maintaining enterprise data integrity through ZFS and redundant storage configurations.

72-Core Xeon Gold Compute Server

The primary compute node features dual Intel Xeon Gold 6240 processors delivering 72 threads at 2.6GHz base clock with Turbo Boost to 3.9GHz. With 247GB of DDR4 ECC registered memory, the server provides massive headroom for concurrent AI model inference, vector database operations, and real-time analytics processing. The memory architecture supports a planned 192GB tmpfs RAM disk that will deliver 100x to 1000x performance improvements for database-intensive workloads.

Storage runs on mirrored SSDs with 464GB capacity providing enterprise-grade redundancy and consistent low-latency I/O. The ZFS filesystem adds checksumming, compression, and snapshot capabilities that eliminate silent data corruption — a critical requirement when storing trained model weights and vector embeddings that represent significant computational investment.

72-core Xeon Gold server with 247GB RAM powering AI inference workloads

TrueNAS Scale storage platform with GPU compute nodes and Docker container orchestration

GPU-Accelerated TrueNAS Node

The secondary node runs TrueNAS Scale with an NVIDIA RTX 4060 Ti featuring 16GB of VRAM, dedicated to GPU-accelerated inference tasks including image generation, video processing, and large language model serving. This node manages 14TB of NFS-shared model storage, making pre-trained weights instantly available to any service across the network without redundant downloads or storage duplication.

The 2.5Gb Ethernet backbone connecting both nodes ensures that model loading, inter-service communication, and data replication operate at speeds that eliminate network bottlenecks. Traefik reverse proxy handles intelligent request routing, SSL termination, and load balancing across all containerized services with automatic certificate management through Let's Encrypt integration.

Platform Components

🤖

AI/ML Stack

Model Inference

Ollama, llama.cpp, and vLLM for high-performance local AI inference with GPU acceleration. Supports models from 7B to 70B parameters with quantization for optimal memory utilization.

🗃

Data Services

Database Stack

PostgreSQL, Redis Stack, Neo4j, ClickHouse, and MinIO for comprehensive data management spanning relational, graph, time-series, and object storage needs.

📈

Observability

Monitoring Suite

Prometheus metrics collection, Grafana dashboards, Loki log aggregation, and Jaeger distributed tracing provide complete visibility into system health and performance.

🔒

Security

Secret Management

1Password Connect integration with automated credential injection into Docker containers. Zero hardcoded secrets with comprehensive audit trails for compliance.

Implementation Details

Every layer of the stack is containerized with Docker Compose, managed through Portainer, and secured behind Traefik with automatic TLS certificate rotation and intelligent routing rules.

Grafana monitoring dashboards displaying real-time infrastructure metrics and AI workload performance

Container Orchestration

Docker Compose manifests define the complete service topology with health checks, resource limits, restart policies, and dependency ordering. Portainer provides a web-based management interface for monitoring container status, viewing logs, and performing rolling updates without SSH access. Each service category — AI inference, databases, monitoring, and networking — lives in its own compose stack with shared Docker networks enabling secure inter-service communication.

Networking and Routing

Traefik serves as the edge router, handling SSL termination, automatic Let's Encrypt certificate renewal, and intelligent request routing based on hostname and path rules. Tailscale provides a zero-configuration mesh VPN that enables secure remote access to any service without exposing ports to the public internet. The combination delivers enterprise-grade networking without the complexity of traditional VPN appliances or firewall rule management.

Technology Stack

TrueNAS Scale Docker Compose Portainer Traefik Tailscale Ollama llama.cpp ChromaDB PostgreSQL Redis Neo4j ClickHouse MinIO Grafana Prometheus Loki Jaeger

Differentiation and Moat

Zero Cloud Dependency

On-premise AI stack eliminates recurring API and compute costs while maintaining full control over data and models. The hardware investment reaches ROI within 12 months compared to equivalent cloud infrastructure.

Enterprise Observability

Full-stack monitoring with distributed tracing, log aggregation, and real-time alerting. Grafana dashboards provide instant visibility into GPU utilization, model latency, and database performance.

Automated Secret Management

1Password Connect Server integration with automated injection into deployment workflows. Comprehensive audit trails satisfy SOC 2 and compliance requirements without manual credential rotation.

Production Runbooks

Comprehensive operational documentation and verification tooling for reliable day-2 operations. Every service includes health check scripts, backup procedures, and disaster recovery playbooks.

Results and Impact

Proven infrastructure with extensive automation, monitoring, and operational tooling across the entire stack delivering measurable business outcomes.

$120K+

Annual cloud costs eliminated

72

CPU threads for parallel workloads

14TB

NFS model storage shared across nodes

2.5Gb

Private network backbone speed

ZFS storage pool with enterprise data integrity and automated backup infrastructure

scripts/

Deployment, backup, and verification automation

monitoring/

Alerting and observability configuration

rag-system/

RAG pipeline and indexing utilities

security/

Hardening and audit documentation

Security Notice

Internal network details, credentials, and hostnames are intentionally omitted from public documentation. Full operational runbooks and architectural diagrams are available for authorized personnel and qualified investors under NDA.

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