AI Infrastructure Backup

Overview

AI infrastructure is often treated as disposable or easily reproducible. In reality, AI projects represent months of fine-tuning, experimentation, and optimization that cannot be quickly recreated. AI Infrastructure Backup (AI Infra Backup tier: $395/month, 10 TB storage, 20 devices) protects your most valuable AI assets against data loss, account suspensions, model drift, and disaster scenarios.

What You Get

• •Model Registry Backup with FastCDC dedup — Back up model weights from HuggingFace, Ollama, and LM Studio with content-aware chunking (50 checkpoint versions cost ~3× one full model size).
• •Vector DB Connectors — Schema-aware backup for Pinecone, Weaviate, Qdrant, Milvus, pgvector, and Chroma without costly re-embedding.
• •Training Dataset Vault — Version and protect raw datasets, training splits, and augmented datasets used in model training.
• •Prompt & Agent Library Versioning — Backup all prompts, system instructions, and custom agent definitions across all platforms.
• •Notebook & Experiment Snapshots — Automatic backup of Jupyter, Observable, and Google Colab notebooks along with their execution history.
• •RAG Source Vault — Protect embeddings, chunked documents, and metadata for retrieval-augmented generation (RAG) pipelines.
• •Natural-Language Restore Assistant — Query backups in plain English: 'Restore the Jan 15 version of my customer_support_agent before the prompt rewrites' — AI finds and restores the exact version.
• •AI Anomaly Detection — Detects suspicious model changes (weight drift, injection attacks, poisoning) and alerts you to drift before deployment.
• •Model Lineage Graph — Track which models depend on which datasets, prompts, and fine-tuning runs for full traceability.
• •EU AI Act / ISO 42001 / NIST AI RMF Audit Reports — Auto-generated compliance reports for regulated AI deployments.

Who It's For

AI Infrastructure Backup is designed for organizations that depend on AI as a critical business function:

• •AI-native startups — Protect fine-tuned models and prompt libraries that define your product.
• •In-house AI teams at regulated companies — Finance, pharma, legal firms that must audit and archive every model version for compliance.
• •AI consultancies — Back up client models, datasets, and configurations across multiple projects.
• •Research groups — Preserve training datasets and model checkpoints that took months to prepare.
• •LLM application teams — Protect RAG indexes, prompt chains, and agent definitions from accidental or malicious deletion.

Quick Start

Get started in three steps:

• •Upgrade to AI Infra Backup tier in your customer portal (Dashboard → Billing & Plans).
• •Open the BackupEngine desktop agent and navigate to the AI Assets tab.
• •Click 'Scan & Protect' to detect local AI models, notebooks, prompts, and datasets automatically.

Next Steps

Explore the full AI Backup documentation:

• •ML Model Registry Backup — Learn how FastCDC dedup reduces storage costs for model checkpoints.
• •Vector Database Backup — Set up schema-aware backup for your vector database without re-embedding.
• •AI Workspace Backup — Protect Claude.ai, ChatGPT, Gemini conversations and custom agents.