Local AI Workloads on Synology NAS: Secure, Private Computing for Enterprises

Businesses increasingly seek control over artificial intelligence workloads to ensure data privacy, reduce cloud costs, and maintain compliance. Running local AI workloads on Synology NAS offers a powerful solution by combining high-capacity storage with containerized computing. Epis Technology’s Synology consulting and support services help enterprises deploy, optimize, and secure these setups for reliable performance without relying on external cloud providers.

Why Run Local AI on Synology NAS?

Synology NAS devices serve as more than storage appliances. With Synology DiskStation Manager (DSM) and Container Manager (the evolved Docker interface), they support running containerized applications directly on the hardware. This enables local AI inference for large language models (LLMs), image recognition, data analysis, and automation workflows all while keeping sensitive data on-premises.

Key benefits include:

• Data sovereignty: Sensitive enterprise data never leaves your infrastructure.
• Cost efficiency: Eliminate recurring cloud inference fees; pay only for hardware and power.
• Low latency: AI responses occur instantly on the local network.
• Integration with existing storage: AI models and datasets leverage fast NAS volumes, snapshots, and backups.

For IT managers and business owners, this approach aligns with cybersecurity resilience and business continuity strategies, especially when paired with Epis Technology’s managed backup solutions.

Technical Foundations: Docker and Container Manager on Synology

Synology’s Container Manager allows deployment of Docker containers without deep Linux expertise. Compatible x86-based Synology models (Intel or AMD CPUs) support this feature effectively. ARM-based units have limitations for compute-heavy tasks.

Recommended setup steps typically include:

1. Ensure sufficient RAM (16 GB+ recommended for practical LLM use; 32 GB+ for better multitasking).
2. Configure storage volumes with thin provisioning or Btrfs for efficient dataset handling.
3. Install and run containers for AI platforms.

Popular open-source tools for local AI include Ollama, which simplifies downloading and running LLMs such as Llama, Mistral, or smaller quantized models. Users deploy Ollama via Container Manager, map ports (e.g., 11434), and create dedicated volumes for model storage.

Performance depends on the NAS model and CPU:

• Smaller 3B–7B parameter models run at acceptable speeds (several tokens per second) on capable Synology units with adequate RAM.
• Larger models require quantization and may suit background or batch processing rather than real-time chat.

Epis Technology’s Synology support and consulting services include hardware assessment, Container Manager configuration, resource optimization, and performance tuning to ensure stable operation alongside storage duties.

Storage Optimization for AI Datasets and Models

Local AI workloads generate and consume large datasets training data, model weights, embeddings, and inference logs. Synology NAS excels here through scalable storage features that Epis Technology helps enterprises maximize:

• High-capacity arrays with enterprise-grade drives for storing multi-terabyte datasets.
• Deduplication and compression to reduce the footprint of repeated model artifacts or vector databases.
• Snapshots and versioning for safe experimentation rollback failed training runs or model updates instantly.
• Tiering to move cold datasets to cost-effective cloud storage while keeping active models on high-performance local volumes.

Epis Technology’s large storage solutions (30 TB to 250 TB+) provide the backbone for these workloads. Their managed services ensure encrypted, redundant storage with ransomware protection, so AI data remains secure and recoverable.

When combined with Microsoft 365 or Google Workspace backups, organizations protect both structured collaboration data and unstructured AI-generated content under unified policies.

Cybersecurity and Best Practices for AI on NAS

Running AI locally enhances security but requires proper configuration:

• Isolate AI containers in dedicated network segments.
• Use strong authentication and restrict port exposure.
• Enable Synology’s built-in security features, including firewall rules, automatic updates, and immutable snapshots.
• Monitor resource usage to prevent AI tasks from impacting primary file-sharing or backup performance.

Epis Technology incorporates cybersecurity resilience into every Synology deployment. Their consulting includes security hardening, access controls, and integration with broader IT infrastructure for enterprise-grade protection.

For fully managed environments, Epis experts handle ongoing maintenance, firmware updates, and troubleshooting freeing internal IT teams to focus on strategic initiatives.

Use Cases for Enterprise Local AI Workloads

• Document intelligence: Private LLMs for summarizing internal reports or extracting insights from stored files.
• Automation and chatbots: Internal knowledge bases powered by local models integrated with company data.
• Image and media analysis: On-device processing for security footage, product catalogs, or creative workflows.
• Development and testing: Safe environments for prototyping AI applications without cloud dependencies.

These workloads scale with business growth. As data volumes increase, Epis Technology’s scalable storage and Synology optimization ensure the NAS infrastructure keeps pace without disruption.

Getting Started with Professional Guidance

Successful deployment of local AI on Synology NAS requires careful planning around hardware selection, resource allocation, and integration with existing backups and security policies. Epis Technology offers tailored Synology consulting services to assess your environment, recommend optimal models, design container architectures, and implement monitoring.

Their support plans provide proactive maintenance and rapid response, ensuring AI workloads run reliably alongside critical data protection tasks.

About Epis Technology

Epis Technology provides enterprise IT infrastructure, cloud backup, data protection, and Synology consulting services. The company specializes in Microsoft 365 and Google Workspace backup solutions, large storage and scalable data management systems, fully managed PC backups, Synology support, deployment, and consulting, plus business continuity, cybersecurity resilience, and IT performance optimization.

Partnering with Epis Technology enables organizations to confidently run local AI workloads on Synology NAS delivering private, efficient, and secure computing while maintaining robust data protection and storage scalability. Contact the team for a consultation on optimizing your Synology environment for AI.