ENTERPRISE AI COMPUTE · NFS HIGH-SPEED MOUNT

NVIDIA DGX SPARK QNAP NAS
Joint Solution

An ultimate computing architecture designed for enterprise-grade AI model training and inference. Combining top-tier ASUS server hardware with QNAP enterprise storage via high-speed NFS mount, it perfectly solves the computing and storage bottlenecks in your AI development.

// 01 — Highlights

Key Features & Advantages

// 01

Breakthrough AI Compute Power

High-performance designs of small AI workstations and servers equipped with NVIDIA DGX SPARK architecture, providing outstanding GPU acceleration to execute complex deep learning models and generative AI tasks without delay.

// 02

Seamless NFS Mount Integration

Mount QNAP NAS directly to GPU servers via high-speed NFS protocols, eliminating tedious data migration. Compute nodes get real-time access to shared directories, dramatically reducing prep time.

// 03

Massive Training Data Capacity

Faced with expanding AI datasets, QNAP NAS provides highly scalable storage space. Ensures your massive data is stored safely with high availability, easily meeting enterprise data scales.

// 04

Fully Optimized System Resources

Deep optimization tailored for the AI software stack. Whether using TensorFlow, PyTorch, or custom container environments, it fits this hardware architecture perfectly, unleashing 100% performance.

// 02 — Infrastructure

Solving Enterprise Infrastructure Challenges

Say goodbye to performance bottlenecks with tier-one architecture design. Many enterprises face the dilemma of 'strong computing power but unable to feed data' when adopting AI. This solution perfectly integrates compute and storage:

  • High Throughput: Break traditional storage I/O limits, ensuring GPUs are no longer idle while waiting for data.
  • Flexible Expansion: Compute nodes (ASUS) and storage nodes (QNAP) can be upgraded independently based on demand.
  • Centralized Management: Privilege control and snapshot backups are centrally handled on the NAS, simplifying security compliance and management processes.
  • Plug and Play: Engineers can focus on algorithm development without worrying about the underlying infrastructure.
System Architecture Diagram
Compute Node

Compute Node

NVIDIA DGX SPARK Architecture

Single NodeDual Node4-Node Cluster
Storage Node

QNAP NAS (Storage Node)

Store massive training sets and model weights

Ready to upgrade your AI infrastructure?

Our senior technical consultant team is ready to provide architecture consultation and performance evaluation services.