CT60-S8060 on NVIDIA DGX Station Architecture

Powered by the NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip and 775GB of large coherent memory, MSI’s CT60-S8060 on NVIDIA DGX Station architecture delivers data-center-class performance for AI training, inference, and simulation workloads, right from your deskside. Get updates when CT60-S8060 arrives.

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CT60-S8060 on NVIDIA DGX Station™ architecture

What Sets CT60-S8060 Apart

Compute-Dense Architecture - icon

Compute-Dense Architecture

NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip combines high-performance NVIDIA Grace CPU and NVIDIA Blackwell Ultra GPU through the NVIDIA® NVLink® Chip-to-Chip (C2C) interconnect, delivering exceptional compute density and efficient system communication.

High-Speed Networking - icon

High-Speed Networking

NVIDIA ConnectX®-8 SuperNIC™ delivers up to 800Gb/s of low-latency, high-bandwidth connectivity, enabling fast data transfer and scalable performance for large-scale AI workloads.

Large Coherent Memory - icon

Large Coherent Memory

A 775GB coherent memory pool combines 279GB of high-speed HBM3e GPU memory and 496GB of LPDDR5X system memory through the C2C interconnect, enabling faster data access and efficient large-scale AI model training.

End-to-End AI Software Support - icon

End-to-End AI Software Support

The NVIDIA AI Software Stack provides a full-stack solution for AI workloads including fine-tuning, inference, and data science, enabling seamless development and deployment from desktop to data center.

CT60-S8060

CT60-S8060

  • 245mm (9.6") Wx 528.4mm (20.8") Hx 595mm (23.4") D
  • (1) NVIDIA Blackwell Ultra GPU
  • CPU Memory Up to 496GB LPDDR5X | Up to 396 GB/s
    GPU Memory Up to 279GB HBM3e | 8 TB/s
  • (1) 10 GbE RJ45 port (Marvel AQC113)
    (2) 400 GbE QSFP ports (NVIDIA ConnectX®-8)
  • (2) 2280 PCIe 5.0 x2 NVMe M.2 ports (from CPU)
    (2) 2280 PCIe 6.0 x4 NVMe M.2 ports (for training data)
  • (1) Double-Wide PCIe 5.0 x16 slot for display
    (2) Single-Wide PCIe 5.0 x16 slots (each with x8 signal only)
    (1) PCIe x1 2232 M.2 for WiFi/Bluetooth card
  • Qualified BMC module from Aspeed AST2600 BMC
  • 1600W 80 PLUS Titanium ATX PSU

Accelerating Every AI Workload

MSI’s CT60-S8060 on NVIDIA DGX Station architecture brings data-center-class performance to the desktop, empowering AI developers, researchers, and data scientists to train, analyze, and deploy AI models efficiently across diverse workloads.

AI Development

AI Development

Accelerate deep learning and machine learning training for AI applications ranging from predictive maintenance and medical imaging analysis to natural language processing.

Data Science

Data Science

Accelerate end-to-end data science workflows to enable faster data ingestion, analysis, and insight generation across massive datasets.

AI Inference

AI Inference

Accelerate local inference for large and complex AI models, delivering high-speed performance for LLM token generation, data analysis, content creation, and AI chatbots.

Personal Cloud

Personal Cloud

Run advanced AI models on local data and serve as a centralized compute node for team-based fine-tuning and on-demand deployment.

MSI AI Systems

 
MSI AI Systems - EdgeXpert
MSI AI Systems - PRO Desk Series
MSI AI Systems - CT60-S8060
 
EdgeXpert
PRO Desk Series
CT60-S8060
NVIDIA Platform
DGX Spark
RTX PRO (single GPU)
DGX Station
Performance
1 PFLOP
Up to 4 PFLOPS
Up to 20 PFLOPS
Memory
128GB
Up to 96GB
GPU: 279GB HBM3e
CPU: 496GB LPDDR5X
775 GB coherent memory
Max Model Size
(Parameters)
Up to 200B
Up to 153B
Up to 1T
GPU Interconnect
N/A
PCIe Gen 5
N/A
Applications
Prototyping
Fin-tuning
Inference
Edge applications
AI engine
AI inference
AI development
Data science
AI inference
Personal cloud
MSI and NVIDIA : United in Driving AI Innovation

MSI and NVIDIA : United in Driving AI Innovation

MSI stands alongside NVIDIA in the global launch of the AI-first NVIDIA DGX deskside supercomputers. Read NVIDIA’s official announcement.

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