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Your Optimal Choice for AI Storage
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Your Optimal Choice for AI Storage

Efficient, cost-effective, and highly scalable storage architecture – QNAP NAS assists enterprises in implementing on-premises AI development

Why businesses choose on-prem AI model training?

Embracing the wave of artificial intelligence, businesses equipped with a comprehensive and user-friendly generative AI knowledge system can significantly enhance their competitiveness while also integrating various business functions and workflows.
More businesses are opting for on-prem AI model training for the following reasons:

  • Data Security and Privacy

    When handling sensitive data such as production records and financial data, on-prem training ensures that the data is entirely controlled by the enterprise, guaranteeing security and privacy.

  • Cost Control

    Cloud computing can be expensive, especially for large-scale and long-duration training. By purchasing and maintaining on-premises infrastructure, enterprises can effectively control long-term costs.

  • Performance and Customization

    Deploying dedicated hardware on-premises can avoid issues related to cloud resource sharing and network latency. Enterprises can also customize their software environment based on specific needs, ensuring high performance and stability.

  • Compliance Requirements

    Certain industries and regions have strict data storage regulations. On-premises training helps comply with these legal requirements, avoiding compliance risks.

AI: Beyond computational power – also emphasizing data management and storage

Consider the recently popular Retrieval Augmented Generation (RAG) framework. It relies on retrieving relevant information from large databases to generate meaningful responses or text. If there is insufficient data, or the data quality is poor or erroneous, the results may be inaccurate and the generated content unreliable.

Aspect Importance Impact
Data Management Good data management ensures proper data cleaning, facilitates an orderly preprocessing process, improves data quality, and enhances the performance of RAG models. Inaccurate data can lead to users losing confidence in the system, reducing its usage and acceptance.
Data Storage A Vector Database (Vector DB) is a multidimensional dataset, where an increase in the number and dimensions of data significantly raises storage space requirements. Insufficient storage space may lead to data write failures, causing inconsistent data and affecting the accuracy of retrieval results.
Data Backup In the RAG framework, internal data needs to maintain consistency and integrity across different storage nodes. Errors, inconsistencies, or corruption in data backups can lead to inaccuracies in retrieval and generation results.
Data Transmission The RAG model must quickly retrieve large amounts of data. Well-organized data storage and indexing techniques can significantly improve retrieval speed, reduce latency, and enhance the user experience. Inefficient data access increases the computational burden on the system, reducing overall performance.

Delegate storage and backup to QNAP NAS

Data management and storage play a crucial role in the successful operation of the RAG framework. High-quality data, fast data access, security assurance, consistency, and flexible scalability are all important factors in ensuring the performance and reliability of RAG models.

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Delegate storage and backup to QNAP NAS

Data management and storage play a crucial role in the successful operation of the RAG framework. High-quality data, fast data access, security assurance, consistency, and flexible scalability are all important factors in ensuring the performance and reliability of RAG models.

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QNAP NAS is ideal for AI raw data storage and storage/backup server for RAG architecture.

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QNAP NAS is ideal for storing raw data

QNAP NAS accommodates large amounts of raw data (including videos and photos) and supports storage protocols to seamlessly access both local data and from the cloud. It is well-suited for collecting raw data from various platforms.

  • Supports S3 compatible object storage

    Using QuObjects to create S3 object storage on QNAP NAS, you can easily migrate cloud data to an on-prem NAS.

  • Supports native Samba and NFS protocols

    Data can be seamlessly accessed from different on-prem platforms, including Windows®, Linux®, and macOS®. This robust sharing capability significantly enhances the data management efficiency of data cleaning personnel.

  • Powerful data search capabilities

    Use Qsirch to identify and delete duplicate, incomplete, and inaccurate data in a dataset, improving the quality of the data and making it more suitable for training and using RAG models.

  • Supports multi-version snapshots

    If there are issues during data cleaning or data is mistakenly deleted, use snapshots to restore the original data to a previous version. This prevents data loss and saves time.

  • Provides various RAID data protection and backup features

    QNAP NAS supports various RAID configurations, and you can use built-in backup tools to create backups of original data.

  • Permission control

    QNAP NAS supports granular permission settings, allowing for specific access permissions to be set for files and folders. This ensures only authorized users can access and modify data.

  • Supports WORM (Write Once, Read Many)

    WORM prevents unauthorized data modifications to ensure data integrity and consistency, which is essential for data retrieval and generation in the RAG architecture.

  • Supports petabyte-level storage expansion

    QNAP offers cost-effective, petabyte-level storage solutions that meet future demands and can store data accumulated over many years. This is particularly important for applications that require long-term data preservation for historical analysis and model improvement, ensuring that vast amounts of information are readily available for extended periods.

QNAP NAS is well-suited as a storage/backup server for RAG architecture

QNAP NAS offers high scalability, efficient data transfer, flexible protocol support, and robust data protection. It provides petabyte-level storage capacity, enhanced with advanced snapshot and backup technologies. Additionally, the all-flash configuration of QNAP NAS delivers low latency and high performance, catering to the frequent data access and processing demands within RAG architecture.

Supports 25/100 GbE high-speed networking

25/100GbE high-speed networking allows for faster transfer of large data volumes between devices, which is crucial for the RAG architecture that frequently reads and writes large-scale data. This significantly reduces data transmission latency, enhancing the overall efficiency of the system.

Offers a complete line of all-flash NAS products

The ultra-high IOPS and low latency features of all-flash NAS ensure that data can be quickly retrieved and processed. QNAP offers industry-leading all-flash NAS solutions, providing you with a variety of options to choose from.

Natively supports iSCSI / Samba protocols

You can enhance the flexibility of storage space allocation by mounting the storage space of QNAP NAS to AI computing servers or other storage devices using iSCSI or Samba.

Supports S3-compatible object storage

By using S3-compatible object storage, automated backup strategies can be implemented to periodically back up vector data to QNAP NAS object storage spaces – simplifying the data backup and recovery process.

Supports container virtualization technology

In RAG architecture, vector databases are often deployed and managed using Docker containers. QNAP NAS not only supports container virtualization technology but also supports container import/export. This allows developers to back up and migrate multiple containers, facilitating ease of management and operational continuity.

Recommended NAS models

Efficient and low-cost, providing the perfect solution for AI model training storage and backup.

Storage for raw data Storage/backup server for the RAG architecture
Models TDS-h2489FU
TS-h2490FU
TS-h1090FU
TS-h3077AFU		 TS-h3087XU-RP
TS-h2287XU-RP		 TS-h1290FX
TS-h1277AFX		 TVS-h1288X
TVS-h1688X
Advantages High-performance all-flash rackmount NAS Large capacity rackmount NAS with HDD/SSD hybrid storage High-performance all-flash tower NAS High-capacity HDD tower NAS
Key specs
  • Supports U.2 NVMe SSDs or SATA SSDs (model dependent)
  • Built-in 2x 10GbE or 25GbE ports; expandable up to 100GbE
  • Multiple PCIe Gen 4 expansion slots
  • Up to 3 PB storage capacity with JBOD expansion
  • 3.5-inch SATA HDD + 2.5-inch SATA SSD hybrid storage structure
  • Built-in 2x 10GbE ports; expandable up to 2x 25GbE
  • Multiple PCIe Gen 4 expansion slots
  • Up to 1 PB storage capacity with JBOD expansion
  • Supports U.2 NVMe SSDs or SATA SSDs (model dependent)
  • Built-in 2x 10GbE or 25GbE ports; expandable up to 100GbE
  • Multiple PCIe Gen 4 x16 expansion slots
  • 3.5-inch SATA HDD + 2.5-inch SATA SSD hybrid storage structure
  • Built-in 2x 10GbE ports; expandable up to 2x 25GbE
  • Multiple PCIe Gen 3 expansion slots

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