ForgeScaler

The intelligent OS that orchestrates secure AI inference across VaultScaler's infrastructure.

The Orchestration Layer Behind VaultScaler

ForgeScaler is a DevOps-inspired operating system purpose-built for managing artificial intelligence infrastructure — moving from traditional automation into AIOps and memory-driven orchestration. It serves as the control layer for VaultScaler, a boutique AI inference datacenter focused on high-trust, air-gapped, secure workloads.

This platform deploys, monitors, and governs GPU workloads with full-stack visibility, agent-based control, and append-only memory logs. Every inference cycle is captured. Every environment is verifiable. Every deployment is reversible.

System Architecture

⚙️ Core Platform

  • Terraform + Helm for provisioning
  • Kubernetes (EKS or metal) as the workload layer
  • Custom Python agents for runtime orchestration
  • GitHub Actions + S3-backed memory system

🤖 Agent Modules

  • bootstrap-agent – initializes secure environments
  • inference-agent – manages GPU-based model execution
  • reflector-agent – appends logs and retrospectives
  • lock-tracker – monitors and coordinates apply state
  • triage-agent – auto-analyzes errors and suggests remediations

🧠 Memory System

  • Immutable `.jsonl` logs for infrastructure state
  • Markdown-based retrospectives with versioned diffs
  • Live Copilot Console frontend (optional)

🔐 Security Features

  • Runs offline / air-gapped if needed
  • Supports zero-trust architecture
  • Full IAM role isolation per tenant
  • No cloud telemetry or vendor lock-in

Deployment Targets

Why ForgeScaler Exists

Most AI infrastructure today is bloated, outsourced, or insecure. ForgeScaler offers a different path: a lean, private, sovereign orchestration layer that can operate entirely within the boundaries of a secure boutique data center.

This is not just DevOps. This is RecursiveOps — systems that evolve, remember, and reflect — built for the next generation of AI-native infrastructure.