SKU : MS-C931
Architecture : NVIDIA® Grace Blackwell GPU : NVIDIA® Blackwell Architecture CPU : 20 core Arm, 10 Co
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20 core Arm, 10 Cortex-X925 + 10 Cortex-A725 Arm
128GB
4TB
NVIDIA Blackwell Architecture
NVIDIA® DGX OS
1.2 kg
BT 5.3
Black
1x RJ-45 connector 10 GbE
256-bit
1.5 x 1.5 x 5.2 cm
128 GB LPDDR5x, unified system memory
4x USB 3.2 Type C (up to 20Gb/s)
WiFi 7
3 Years
The MSI EdgeXpert MS-C931 (9S6-C9311-60S) is a compact desktop AI supercomputer built on the NVIDIA DGX™ Spark platform. Designed for AI developers, data scientists, researchers, and enterprises, it enables local development, fine-tuning, and inference of Large Language Models (LLMs) and Generative AI applications without relying entirely on cloud infrastructure.
Powered by the NVIDIA GB10 Grace Blackwell Superchip, 128GB LPDDR5X unified memory, and a 4TB NVMe SSD, the system delivers up to 1,000 AI TOPS (FP4) of AI performance. It supports AI models up to 200 billion parameters locally and scales to 405 billion parameters when multiple systems are interconnected.
Powered by the NVIDIA GB10 Grace Blackwell Superchip, combining an NVIDIA Grace CPU and NVIDIA Blackwell GPU into a unified AI computing platform.
Delivers up to 1,000 TOPS (FP4) AI performance, making it ideal for Generative AI, AI agents, machine learning, deep learning, and computer vision workloads.
Features NVIDIA Blackwell GPU architecture with advanced Tensor Cores optimized for AI training and inference applications.
Includes a 20-core ARM-based NVIDIA Grace processor featuring 10 Cortex-X925 cores and 10 Cortex-A725 cores for high-performance AI and data processing workloads.
Equipped with 128GB LPDDR5X unified memory and up to 273 GB/s memory bandwidth, enabling efficient CPU-GPU collaboration and large-model execution.
Includes a 4TB NVMe M.2 SSD with self-encryption support, providing ample storage for AI datasets, model repositories, and enterprise workloads.
Capable of running AI models up to 200 billion parameters locally and scaling up to 405 billion parameters through NVIDIA ConnectX networking.
Features:
Providing high-speed networking and AI cluster scalability.
Preloaded with NVIDIA DGX OS and support for CUDA, TensorRT, NVIDIA NIM, NeMo, PyTorch, and TensorFlow for immediate AI development and deployment.
The MSI EdgeXpert MS-C931 (9S6-C9311-60S) combines NVIDIA Grace Blackwell architecture, 128GB unified memory, 4TB NVMe storage, and 1 PetaFLOP-class AI performance in a compact desktop form factor. It is an ideal solution for AI professionals, research teams, and enterprises seeking powerful local AI computing with reduced cloud dependency and enterprise-grade scalability.
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