From Gadgets to Enterprise, We’ve Got IT All. - ครบที่สุด ทุก Segment

เพิ่มเพื่อน Line @SpeedCom / โทร 061-393-3443

SpeedCom  |  SKU: MSI-EDGEXPERT-60STH-BGB104TG5

Supercomputer AI MSI EdgeXpert MS-C931 4TB NVIDIA DGX Spark GB10

Sale price 149,990.00 ฿ Regular price 159,990.00 ฿


Care information

Exchange available within 7 days of receipt if conditions apply

1. The warranty applies only in cases where the product is damaged due to a malfunction resulting from a manufacturing defect

2. Dead pixel warranty applies for Laptop products and computer monitors with 5 or more dead pixels

3. The store delivered the wrong product

Authentic product with official warranty:

Payment

Payment

  • Bank Deposit
  • Full Payment via Credit Card (All Major Banks Accepted)
  • Cash on Delivery (COD)

Delivery and Shipping

Delivery

  • Express Delivery within 3 Hours Service fee 300 THB
    (Available only in Bangkok, Metropolitan Area, and Chiang Mai city)
  • Domestic shipping packed and delivered by Best Express
  • Pick up your order at the nearest branch

MSI EdgeXpert MS-C931 4TB NVIDIA DGX Spark GB10 AI Supercomputer

MSI EdgeXpert MS-C931 4TB

  • CPU: 20 core ARM, 10 Cortex-X925 + 10 Cortex-A725 ARM
  • CPU Type: onboard
  • Chipset: onboard
  • Tensor Performance: 1 peta FLOP Al Performance (FP4, Sparse)
  • Memory Technology: LPDDR5x
  • Max. Capacity: 128GB
  • Socket: onboard
  • Graphics: Nvidia GB10 Share 128GB unified Memory 4 independent displays
  • Video Output: HDMI 2.1, 4x DP1.4a via USB-C
  • Ethernet: 1 x 10GbE
  • I/O Interface: 
    HDMI Multichannel Audio output
    4 x USB 3.2 Type-C
    1 x HDMI
    DisplayPort 3 via USB-C
    2x Antenna
    2x QSFP
  • WiFi: WiFi 7 Bluetooth 5.4
  • Expansion Slot: 1x M.2 M Key 4TB SSD with self-encryption
  • Dimensions: 151 x 151 x 52 mm
  • Weight: 1.2 kg

AI MSI EdgeXpert MS-C931 NVIDIA DGX Spark GB10


Personal AI Supercomputer powered by NVIDIA DGX Spark GB10 platform for deep learning

 


High-performance AI, ready on your desk.

 


MSI EdgeXpert AI Supercomputer redefines desktop AI computing, delivering petaFLOP-scale performance through the cutting-edge NVIDIA® GB10 Grace Blackwell Superchip, the same chip used in NVIDIA DGX. Spark EdgeXpert is designed specifically for AI developers, researchers, and data scientists, empowering on-premises AI development with superior performance, scalability, and advanced features, all within a compact desktop form factor.


NVIDIA Grace Blackwell Architecture

  • NVIDIA Blackwell GPU and 20-core Arm CPU optimizes data preparation and handling to accelerate model fine-tuning and enable more efficient real-time inference.
  • NVLink-C2C Technology offers a seamless CPU+GPU unified memory model with five times higher bandwidth than PCIe 5.0, enabling ultra-fast data access and transfer.


Unrivaled AI Processing Power

  • 1000 AI TOPS (FP4) Tensor Performance delivers ultra-fast performance, allowing seamless execution of complex AI workloads at scale.
  • 128 GB LPDDR5x Unified System Memory provides the massive memory needed for smooth model development, rapid experimentation, and high-performance inference.


Local LLM Execution and Scaling from 200 Billion to 405 Billion Parameters

  • Supports AI models with up to 200 billion parameters to run local LLMs for data privacy, low latency, cost control, and comprehensive AI workflows, from prototyping, fine-tuning, and inference.
  • Connectivity via NVIDIA ConnectX: Large AI Models and Performance High-performance NVIDIA ConnectX networking allows two MSI systems to work together with AI models with up to 405 billion parameters.

Seamlessly Scale AI Models from Desktop to Cloud

Leverage NVIDIA's AI software architecture to seamlessly scale from your desktop to NVIDIA DGX™ Cloud or any other NVIDIA®-supported data center or cloud infrastructure with minimal code changes.


Designed for AI Developers

 


Data Scientist / AI Developer

AI developers can fine-tune AI models or AI inference applications on-premises and easily migrate to enterprise data centers or the cloud.

 


Academic

Practice AI skills or develop AI inference applications in the classroom/laboratory. Scale up usage to school server rooms or AI laboratories.

 


Independent AI Developer

Experiment with fine-tuning AI models or perform local processing to test or create local AI assistants. Easily migrate to the cloud to enhance processing power.