MSI EdgeXpert MS-C931 NVIDIA GB10 Personal AI Supercomputer - 4TB
PRODUCT DESCRIPTION
MSI EdgeXpert MS-C931 NVIDIA GB10 Grace Blackwell Personal AI Supercomputer, 128GB Unified Memory, 4TB NVMe SSD, ConnectX-7 200GbE, Wi-Fi 7, Bluetooth 5.3, NVIDIA DGX OS (9S6-C9311-61S) - 3 Year Local Warranty
MSI EdgeXpert β Desktop AI Supercomputer on the NVIDIA DGX Spark Platform
The MSI EdgeXpert MS-C931 is MSI's build of the NVIDIA DGX Spark platform: an NVIDIA GB10 Grace Blackwell Superchip pairing a 20-core Arm CPU (10 Cortex-X925 + 10 Cortex-A725) with a Blackwell GPU and 128 GB of unified LPDDR5x memory, delivering up to 1 petaFLOP (1,000 AI TOPS) of FP4 performance in a 1.2-litre, 1.2 kg chassis. It develops, fine-tunes and serves large language models of up to 200 billion parameters locally, and two units stack over ConnectX-7 to reach 405 billion parameters.
This 4 TB configuration (9S6-C9311-61S) suits Singapore developers, research labs, universities and enterprise AI teams that want DGX-class tooling on the desk without cloud GPU bills β supplied by SourceIT with a 3-year local warranty, a full GST invoice and enterprise procurement assistance.
128 GB Unified Memory at 273 GB/s
The GB10's 128 GB of LPDDR5x is a single coherent 256-bit memory pool shared by CPU and GPU over NVLink-C2C at 273 GB/s β five times the bandwidth of PCIe 5.0 β so large models, vision-language models and RAG pipelines load without the VRAM ceiling of a discrete-GPU workstation. Fifth-generation Tensor Cores support TF32, FP16, BF16, INT8, FP8, FP6 and FP4.
4 TB Self-Encrypting NVMe, ConnectX-7 200 GbE, Wi-Fi 7
A 4 TB M.2 NVMe SSD with self-encryption holds models, datasets and containers. Networking pairs an NVIDIA ConnectX-7 NIC with two QSFP 200 Gbps ports for stacking a second EdgeXpert, with a 10 GbE RJ45 port, Wi-Fi 7 and Bluetooth 5.3. Four USB 3.2 Type-C ports (20 Gbps) and an HDMI 2.1 port drive up to four independent displays, with DisplayPort 1.4a over USB-C.
NVIDIA DGX OS, 240 W USB-C Power, 1.2 kg
The EdgeXpert ships with NVIDIA DGX OS and the NVIDIA AI software stack preinstalled. A 240 W external USB-C power adapter (48 V) feeds it on 100β240 V AC; the chassis measures 151 Γ 151 Γ 52 mm and weighs 1.2 kg, rated for 0β35 Β°C operation and certified to FCC Class B, CE, UKCA, VCCI and BSMI.
Available in Singapore Through SourceIT
SourceIT supplies the MSI EdgeXpert with a full GST invoice, 3-year local warranty and enterprise procurement assistance. For alternative GB10 desktops see the NVIDIA DGX Spark, ASUS Ascent GX10, Lenovo ThinkStation PGX, Dell Pro Max GB10, GIGABYTE AI TOP ATOM, HP ZGX Nano and Acer Altos BrainSphere; for trillion-parameter work see the MSI XpertStation WS300 DGX Station GB300.
MSI EdgeXpert MS-C931 Datasheet β Technical Specifications
General
| Product Name | MSI EdgeXpert MS-C931 |
| Model / Part Number | 9S6-C9311-61S (4 TB configuration) |
| Category | Personal AI supercomputer / AI developer desktop (NVIDIA DGX Spark platform) |
| Form Factor | 1.2-litre mini desktop |
| Local Warranty (Singapore) | 3 Year Local Warranty; procurement and GST invoice by SourceIT |
Processor & GPU
| Compute Platform | NVIDIA DGX Spark architecture β NVIDIA GB10 Grace Blackwell Superchip |
| CPU | 20-core Arm β 10 Γ Cortex-X925 performance cores + 10 Γ Cortex-A725 efficiency cores |
| GPU | NVIDIA Blackwell architecture GPU β fifth-generation Tensor Cores, fourth-generation RT Cores, 1 Γ NVENC, 1 Γ NVDEC |
| AI Performance | Up to 1 PFLOP (1,000 TOPS) FP4 with sparsity |
| Model Support | AI models up to 200 billion parameters on one unit; up to 405 billion parameters with two units linked over ConnectX-7 |
| Precision Support | TF32, FP16, BF16, INT8, FP8, FP6, FP4 |
Memory
| Unified Memory | 128 GB LPDDR5x coherent unified system memory, 256-bit |
| Memory Bandwidth | 273 GB/s |
Storage
| SSD | 4 TB M.2 NVMe SSD with self-encryption |
Networking
| High-Speed Networking | NVIDIA ConnectX-7 NIC β 2 Γ QSFP 200 Gbps |
| Ethernet | 1 Γ RJ45 10 GbE |
| Wireless | Wi-Fi 7 + Bluetooth 5.3 |
I/O Ports
| USB | 4 Γ USB 3.2 Type-C (20 Gbps), DisplayPort 1.4a Alt Mode |
| Display | 1 Γ HDMI 2.1; up to 4 independent displays |
| Video Engines | 1 Γ NVENC, 1 Γ NVDEC |
Operating System & Software
| Operating System | NVIDIA DGX OS (Ubuntu Linux) with NVIDIA AI software stack |
Power, Physical & Environmental
| Power Adapter | 240 W external USB-C, 48 V output; input 100β240 V AC, 50/60 Hz |
| Dimensions (W Γ D Γ H) | 151 Γ 151 Γ 52 mm (1.2 L) |
| Weight | 1.2 kg |
| Operating Environment | 0 β 35 Β°C, 10 β 90 % non-condensing |
| Certifications | FCC Class B, CE, UKCA, VCCI, BSMI |
Compatibility & Software Support
NVIDIA DGX OS and the NVIDIA AI Software Stack
Ships with NVIDIA DGX OS β an Ubuntu Linux build with the NVIDIA AI software stack preinstalled: CUDA, cuDNN, TensorRT and TensorRT-LLM, NVIDIA NeMo, NIM microservices, Triton Inference Server, RAPIDS and NGC containers, alongside PyTorch, TensorFlow, JAX, vLLM, Ollama, Hugging Face Transformers and ONNX Runtime. NVIDIA AI Workbench and the DGX Dashboard simplify environment setup, and Docker or Podman containers keep projects isolated. Because it is the same software foundation as the DGX Station and DGX data-centre systems, models developed here move to larger NVIDIA infrastructure without code changes.
Arm64 Architecture β Plan Your Software Accordingly
The GB10's Grace CPU is Arm-based, so the operating system, drivers and container images are arm64 (aarch64) builds. Mainstream AI frameworks and NVIDIA NGC containers are published for arm64, but proprietary x86-only applications will not run natively β check any commercial software you rely on before ordering. Windows is not supported on this platform.
Clustering Two Units
The two QSFP 200 GbE ports on the NVIDIA ConnectX-7 SuperNIC let two GB10 systems be linked with a QSFP112 direct-attach cable (sold separately) to work with models up to 405 billion parameters. The 10 GbE RJ45 port covers everyday site networking, and Wi-Fi 7 keeps the system connected on a desk without cabling.
Stacking Two EdgeXperts
MSI supports stacking two EdgeXpert units with its optional 400G QSFP cable (MSI P/N 956-C931-101) or any compatible QSFP112 direct-attach cable, giving a combined 256 GB of unified memory for models up to 405 billion parameters.
Package Contents & Ordering Information
What Ships With the System
- MSI EdgeXpert MS-C931 (9S6-C9311-61S) with 4 TB self-encrypting NVMe SSD
- 240 W USB-C power adapter and power cord
- NVIDIA DGX OS preinstalled
A QSFP112 direct-attach cable for stacking two units (see the NVIDIA QSFP112 400G DAC cable 40 cm) is sold separately.
NVIDIA DGX Spark / GB10 Systems at SourceIT Singapore
The MSI EdgeXpert 4 TB is quoted by SourceIT Singapore with GST invoice and 3-year local warranty.
- NVIDIA DGX Spark 4TB β NVIDIA GB10 Grace Blackwell platform, same 128 GB unified memory and 1 PFLOP FP4 core compute
- ASUS Ascent GX10 β NVIDIA GB10 Grace Blackwell platform, same 128 GB unified memory and 1 PFLOP FP4 core compute
- Lenovo ThinkStation PGX β NVIDIA GB10 Grace Blackwell platform, same 128 GB unified memory and 1 PFLOP FP4 core compute
- Dell Pro Max with GB10 β NVIDIA GB10 Grace Blackwell platform, same 128 GB unified memory and 1 PFLOP FP4 core compute
- GIGABYTE AI TOP ATOM β NVIDIA GB10 Grace Blackwell platform, same 128 GB unified memory and 1 PFLOP FP4 core compute
- HP ZGX Nano G1n β NVIDIA GB10 Grace Blackwell platform, same 128 GB unified memory and 1 PFLOP FP4 core compute
- Acer Altos BrainSphere GB10 F1 β NVIDIA GB10 Grace Blackwell platform, same 128 GB unified memory and 1 PFLOP FP4 core compute
- MSI XpertStation WS300 (DGX Station GB300) β step up to 748 GB coherent memory and 20 PFLOPS for trillion-parameter models
Browse the full NVIDIA DGX Spark & DGX Station collection. For volume, project, research-grant or education pricing, GST invoicing and current lead times, email sales@sourceit.com.sg.
Datasheet & Downloads
Official MSI documentation for the EdgeXpert MS-C931:
Frequently Asked Questions β MSI EdgeXpert MS-C931
What is the MSI EdgeXpert?
MSI's build of the NVIDIA DGX Spark platform (model MS-C931): a 1.2-litre desktop with the NVIDIA GB10 Grace Blackwell Superchip, 128 GB unified memory and up to 1 PFLOP FP4 for developing and running AI models of up to 200 billion parameters locally. This configuration has a 4 TB self-encrypting NVMe SSD.
How does it compare to the NVIDIA DGX Station GB300 systems?
Different class: this is a desktop-scale GB10 system with 128 GB unified memory and 1 PFLOP FP4 for models up to about 200 billion parameters, aimed at individual developers, researchers and small teams. The DGX Station GB300 systems (MSI XpertStation WS300, HP ZGX Fury G1n, ASUS ET900N G3, GIGABYTE W775, Supermicro Super AI Station) carry 748 GB and up to 20 PFLOPS for trillion-parameter models and team-scale production AI.
Can I link two units together?
Yes. Two units connect over their ConnectX-7 200 GbE QSFP ports with a QSFP112 direct-attach cable (sold separately), scaling to models of up to 405 billion parameters.
What operating system does it run?
NVIDIA DGX OS, an Ubuntu Linux build with the NVIDIA AI software stack preinstalled. Windows is not supported.
Does it run Windows software or x86 applications?
No. The Grace CPU is Arm64, so only arm64 Linux software and containers run natively. Mainstream AI frameworks and NVIDIA NGC containers are available for arm64.
What warranty does it come with?
A 3-year local warranty in Singapore, supplied through SourceIT.
How do I purchase the MSI EdgeXpert in Singapore?
SourceIT is an authorised IT reseller in Singapore and supplies the EdgeXpert with GST invoice, local warranty and enterprise procurement assistance β contact sales@sourceit.com.sg for availability, volume pricing and lead times.
