AI and machine learning rely on massive amounts of data to train models and drive innovations. But as data volumes increase, teams face significant challenges in managing, securing, and storing AI datasets. QNAP’s secondary storage solutions are designed to address these challenges, ensuring your data is always safe and accessible.

Deployment Consultation

Challenges

Exploding Data Volumes

AI and ML teams deal with constantly growing datasets. With training data reaching petabyte levels

Time-Consuming Backup

Without a streamlined, high-speed backup solution, teams can experience long downtimes waiting for massive datasets to transfer

Data
Integrity

Loss, corruption, or breach of AI datasets can lead to significant setbacks when training AI models.

Cost
Management

Finding a solution with both the performance and capacity needed to effectively train AI models can become costly. More

Our Solutions

Scalable
Storage

Flexible storage options allow you to add drives as you go as well as multiple expansion units

Streamlined
Backup

Comprehensive backup tools for automated scheduled backups during off-hours

Advanced
Protection

RAID, AES-256 bit encryption, snapshot protection, and file monitoring help better protect your data

Cost-Effective Secondary Storage

QNAP offers reliable high-performance storage at a fraction of the cost of traditional enterprise solutions

Achieving Petabyte Storage

QNAP’s ZFS-based OS supports folders as large as 5PB. One TS-h1090FU with at least 128GB can serve as the head NAS to handle intensive tasks.

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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 (Retrieval Augmented Generation) 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. QNAP’s support for NVMe SSDs on select models and high-connections like 10GbE, 25GbE, and 100GbE help it provide the lightning quick speeds crucial for RAG architectures that frequently read and write large-scale data.

Featured Models

TS-h1290FX

• AMD EPYC™
• 64 GB / 128GB / 256GB ECC RAM
(1TB max)
• 12 x U.2 NVMe SSD bays
• 2 x 2.5GbE RJ45 ports
• 2 x 25GbE SFP28 ports
• 4 x PCIe Gen 4 slots


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TS-hx90FU Series

• AMD EPYC™
• 64GB / 128GB / 256GB ECC RAM
(TS-h1090FU: 1TB max;
  TS-h2490FU: 4TB max)
• 10 or 24 x NVMe SSD bays
• 2 x 2.5GbE RJ45 ports
• 2 or 4 x 25GbE SFP28 ports
• 2 or 5 x PCIe Gen 4 ports

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TVS-hx88X

• Intel® Xeon®
• 16GB / 32GB ECC RAM
(128GB max)
• 2 x M.2 NVMe SSD slots
• 4 x 2.5GbE RJ45 ports
• 2 x 10GbE RJ45 ports
• 3 x PCIe Gen 3 slots (one pre-installed)


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