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MSI EdgeXpert MS-C931 NVIDIA Grace Blackwell GB10 Desktop AI Supercomputer Mini PC – New | EDGEXPERT-34SAU

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EDGEXPERT-34SAU-NEW
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EDGEXPERT-34SAU
A$7,829 A$7,117
The MSI EdgeXpert MS-C931 is a desktop AI supercomputer built on the NVIDIA DGX Spark platform and powered by the GB10 Grace Blackwell Superchip. It pairs a 20-core Arm CPU with a Blackwell-architecture GPU to deliver up to 1,000 AI TOPS (1 petaFLOP FP4). With 128GB of LPDDR5x coherent unified memory and a 4TB PCIe Gen5 NVMe SSD, it lets developers prototype, fine-tune and run inference on AI models with up to 200 billion parameters at the desk. Integrated NVIDIA ConnectX networking lets two units be clustered to reach models of up to 405 billion parameters, all in a compact mini-PC chassis running NVIDIA DGX OS.
In Stock
Platform NVIDIA DGX Spark
Superchip NVIDIA GB10 Grace Blackwell
CPU 20-core Arm (10x Cortex-X925 + 10x Cortex-A725)
GPU NVIDIA Blackwell, 6,144 CUDA cores
AI Performance Up to 1,000 AI TOPS (1 petaFLOP FP4)
Interconnect NVLink-C2C

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EDGEXPERT-34SAU
MSI EdgeXpert MS-C931 NVIDIA Grace Blackwell GB10 Desktop AI Supercomputer Mini PC – New | EDGEXPERT-34SAU NEW
The MSI EdgeXpert MS-C931 is a desktop AI supercomputer built on the NVIDIA DGX Spark platform and powered by the GB10 Grace Blackwell Superchip. It pairs a 20-core Arm CPU with a Blackwell-architecture GPU to deliver up to 1,000 AI TOPS (1 petaFLOP FP4). With 128GB of LPDDR5x coherent unified memory and a 4TB PCIe Gen5 NVMe SSD, it lets developers prototype, fine-tune and run inference on AI models with up to 200 billion parameters at the desk. Integrated NVIDIA ConnectX networking lets two units be clustered to reach models of up to 405 billion parameters, all in a compact mini-PC chassis running NVIDIA DGX OS.
The MSI EdgeXpert MS-C931 is a desktop AI supercomputer built on the NVIDIA DGX Spark platform and powered by the GB10 Grace Blackwell Superchip, uniting a 20-core Arm CPU with a Blackwell GPU for up to 1,000 AI TOPS. With 128GB of coherent LPDDR5x unified memory and a 4TB PCIe Gen5 NVMe SSD, it lets developers prototype, fine-tune and run inference on models up to 200 billion parameters at the desk.
Key Features
  • Platform: NVIDIA DGX Spark
  • Superchip: NVIDIA GB10 Grace Blackwell
  • CPU: 20-core Arm (10x Cortex-X925 + 10x Cortex-A725)
  • GPU: NVIDIA Blackwell with 6,144 CUDA cores
  • AI Performance: Up to 1,000 AI TOPS (1 PetaFLOP FP4)
  • Memory: 128GB LPDDR5x coherent unified (273 GB/s)
  • Storage: 4TB M.2 NVMe PCIe Gen5 (up to 10,000 MB/s)
  • Clustering: Link two units for models up to 405B parameters
Specifications
General
Device TypeDesktop AI supercomputer (mini PC)
PlatformNVIDIA DGX Spark
SuperchipNVIDIA GB10 Grace Blackwell
Compute
CPU20-core Arm (10x Cortex-X925 + 10x Cortex-A725)
GPUNVIDIA Blackwell, 6,144 CUDA cores with 5th-gen Tensor & 4th-gen RT Cores
AI PerformanceUp to 1,000 AI TOPS (1 PetaFLOP FP4)
InterconnectNVLink-C2C (up to 5x PCIe 5.0 bandwidth)
Memory Storage
Memory128 GB LPDDR5x coherent unified memory
Memory BandwidthUp to 273 GB/s
Storage4 TB M.2 NVMe PCIe Gen5 SSD (self-encrypting, up to 10,000 MB/s)
Networking
Wired Networking10 GbE (RJ-45)
SmartNICNVIDIA ConnectX
WirelessWi-Fi 7, Bluetooth 5.3
Io
USB4x USB 3.2 / USB4 Type-C
Power Support
Power240 W
Operating SystemNVIDIA DGX OS (Linux)
Warranty3 years

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Common questions about the MSI EdgeXpert MS-C931 NVIDIA Grace Blackwell GB10 Desktop AI Supercomputer Mini PC – New | EDGEXPERT-34SAU.

It is a desktop AI supercomputer (mini PC) built on the NVIDIA DGX Spark platform, powered by the NVIDIA GB10 Grace Blackwell Superchip. It brings data-centre-class AI compute — up to 1 petaFLOP (1,000 AI TOPS) — to the desktop for developers and researchers.
The GB10 Grace Blackwell Superchip combines a 20-core Arm CPU (10x Cortex-X925 + 10x Cortex-A725) with an NVIDIA Blackwell-architecture GPU featuring 6,144 CUDA cores, plus next-generation Tensor and RT Cores, linked by NVLink-C2C.
Up to 1,000 AI TOPS (1 petaFLOP) of FP4 AI performance — enough to prototype, fine-tune and run inference on AI models with up to 200 billion parameters on a single unit.
Yes. Using NVIDIA ConnectX networking, two EdgeXpert MS-C931 units can be linked together to run models of up to 405 billion parameters, such as Llama 3.1 405B.
128GB of unified, coherent LPDDR5x memory shared between CPU and GPU (up to 273 GB/s), plus a 4TB M.2 NVMe PCIe Gen5 SSD with self-encryption and sequential reads up to 10,000 MB/s.
The MS-C931 provides 4x USB 3.2 / USB4 Type-C ports, a 10GbE RJ-45 connector and NVIDIA ConnectX high-speed networking, along with Wi-Fi 7 and Bluetooth 5.3.
It runs NVIDIA DGX OS (Linux) with the full NVIDIA AI software stack, and is backed by a 3-year warranty.