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EdgeXpert MS-C931
EdgeXpert MS-C931
EdgeXpert MS-C931
EdgeXpert MS-C931

Personal AI Supercomputer Based on NVIDIA DGX™ Spark Platform for Deep Learning

  • NVIDIA® Grace Blackwell Architecture:
    - NVIDIA Blackwell GPU & Arm 20-core CPU
    - NVIDIA® NVLink®-C2C CPU-GPU memory interconnect
  • 128 GB LPDDR5x coherent, unified system memory
  • 1000 AI TOPS (FP4) AI performance
  • Full stack solution, hardware & software, designed for AI developers
  • Overview
  • Product Specifications
EV Charing Solution

Next-Level AI Power, Right at Your Desk

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The MSI EdgeXpert MS-C931 AI Supercomputer redefines desktop AI computing, delivering petaflop-scale performance through the cutting-edge NVIDIA® GB10 Grace Blackwell Superchip—the same powerhouse at the core of NVIDIA DGXTM Spark. Purpose- built for developers, AI researchers, and data scientists, the EdgeXpert MS-C931 empowers local AI development with unmatched performance, scalability, and advanced features—all in a compact, desktop-ready form.

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NVIDIA® Grace Blackwell Architecture

  • NVIDIA Blackwell GPU & Arm 20 core CPU Optimizes data preprocessing and orchestration to accelerate model tuning and enable real-time inference with greater efficiency.
  • NVLink®-C2C Technology Offers a seamless CPU+GPU memory model with up to five times the bandwidth of PCIe 5.0, ensuring ultra-fast data access and transfer.
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Unmatched AI ComputingPower

  • 1000 AI TOPS (FP4) Tensor Performance Delivers blazing-fast performance for effortlessly running complex AI workloads at scale.
  • 128 GB LPDDR5x, unified system memory Provides the large memory needed for smooth model development, rapid experimentation, and high-efficiency inference.
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Running and scaling LLMs locally, from 200B to 405B parameters

  • Supports AI models with up to 200 billion parameters Run LLMs locally for data security, low latency, cost control, and full AI workflow—prototyping, fine-tuning, and inference.
  • Stack via NVIDIA ConnectX: Large AI models &Performance High-performance NVIDIA ConnectX networking enables two MSI MS-C931 systems together to work with AI modes up to 405 billion parameters.
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Seamless AI Model Scaling from Desktop to Cloud

Leverage NVIDIA’s AI software architecture to seamlessly scale from desktop to NVIDIA DGX™ cloud or other NVIDIA® accelerated data centers or cloudinfrastructures, just with minimal code changes.

Designed for AI Developers

Data scientist/AI developer

Enterprise

Data scientist/AI developer

AI developer who can fine tune AI model or AI inference application in local, easily migrate to company data center or cloud.

Academic

Education

Academic

Practice AI training or develop AI inference application in classroom/lab. Migrate to school server room or AI laboratory to scale up.

Enthusiast

Independent AI developer

Experiment with fine tuning AI models or run local inference to test or create local AI assistants. Easily migrate to cloud for more computing power.

Applications supported by NVIDIA® AI Frameworks

EdgeXpert MS-C931 provides an excellent platform for developing edge applications with NVIDIA® AI frameworks, including Isaac, Holoscan and many others.

Medical

Medical

NV Holoscan for Medical Devices

Robot

Robot

NV Isaac for Robot

Retail

NV Riva for Retail

NV Riva for Retail

Smart City

NV Metropolis for Smart City

NV Metropolis for Smart City

EdgeXpert MS-C931 AI supercomputer based on NVIDIA® DGX™ Spark platform

EV Charing Solution

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Specifications and product images are subject to change

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Product Specifications

  • Part Number
  • MS-C931-SKU

System Processor

  • CPU
  • 20 core ARM, 10 Cortex-X925 + 10 Cortex-A725 ARM
  • Frequency
  • --
  • L2 Cache
  • --
  • CPU Type
  • onboard
  • Chipset
  • onboard
  • BIOS
  • --
  • Tensor Performance
  • 1000 AI TOPS (FP4, Sparse)

Memory

  • Technology
  • LPDDR5x
  • Max. Capacity
  • 128GB
  • Socket
  • onboard

Graphic

  • Controller
  • Nvidia® Blackwell Architecture
  • Graphic Memory
  • Share 128GB unified Memory
  • Multiple Display
  • 4 independent displays
  • Display Interface
  • HDMI 2.1b, 4x DP1.4a via USB-C

Ethernet

  • Controller
  • 1 x 10GbE

Audio

  • Controller
  • --

H/W Monitor

  • Watchdog Timer
  • --
  • Smart Fan
  • --

TPM

  • Controller
  • Y

I/O Interface

  • PS/2
  • --
  • CANbus
  • --
  • LVDS
  • --
  • VGA
  • --
  • RJ-45
  • 1
  • PoE
  • --
  • Audio
  • HDMI Multichannel Audio output
  • USB
  • 4 x USB 3.2 Type-C
  • Parallel
  • --
  • Serial
  • --
  • HDMI
  • 1
  • GPIO
  • --
  • DVI
  • --
  • DisplayPort
  • 4 via USB-C
  • Antenna
  • 2
  • QSFP
  • 2
  • WiFi
  • WiFi 7
  • Bluetooth
  • BT 5.3

Expansion Slot

  • PCIe x16
  • --
  • PCIe x8
  • --
  • PCIe x4
  • --
  • PCIe x1
  • --
  • PCI
  • --
  • M.2
  • 1x M.2 M Key 1TB SSD with self-encryption
  • Mini-PCIe
  • --

Storage

  • SATA
  • --
  • CFast
  • --
  • mSATA
  • --
  • CompactFlash
  • --

Power Supply

  • DC Input
  • ~240W USB-C with external power adapter
  • AC Input
  • --

Environment

  • IP Rating
  • --
  • Operating Temperature
  • 0 ~ 25°C (w/SSD)
  • Operating Humidity
  • 10 ~ 90%, non-condensing
  • Storage Humidity
  • 10 ~ 90%, non-condensing
  • Storage Temperature
  • 0 ~ 60°C
  • Vibration
  • --
  • Shock
  • --

Physical Characteristics

  • Dimensions
  • 151 x 151 x 52 mm
  • Weight
  • 1.2 kg
  • Mounting
  • --

Certification

  • EMC
  • FCC Class B, CE, UKCA, VCCI, BSMI
  • Safety
  • BSMI

Software Platform

  • OS Support
  • NVIDIA DGX™ OS

NIC

  • Controller
  • Connect-X Smart NIC