Acer Veriton VGN100-UD13 AI Mini Workstation
The Acer Veriton VGN100-UD13 is a compact AI mini workstation engineered for professionals who demand high-performance computing in a space-efficient package. Powered by NVIDIA Grace Blackwell architecture, this workstation delivers petaFLOP-level AI performance ideal for developers, researchers, and data scientists tackling demanding machine learning and AI inference workloads. With 128 GB of LPDDR5X memory and 2 TB NVMe storage, the VGN100-UD13 combines enterprise-grade capabilities with a remarkably compact 2" × 5.9" × 5.9" chassis, making it perfect for labs, edge deployments, and resource-constrained environments.
Key Features
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NVIDIA Grace Blackwell Architecture — Next-generation AI accelerator for superior inference and training performance
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128 GB LPDDR5X Memory — High-bandwidth memory for seamless multi-model AI workloads
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2 TB NVMe M.2 SSD Storage — Ultra-fast storage for rapid model loading and data processing
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DGX OS — Optimized operating system for AI workloads and NVIDIA ecosystem integration
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10 Gigabit Ethernet — Enterprise-grade networking for distributed AI computing
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Multiple USB Type-C Ports — High-speed connectivity for peripherals and data transfer
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HDMI Output — Direct display connectivity for monitoring and visualization
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Compact Mini Form Factor — Space-saving 2" × 5.9" × 5.9" design for flexible deployment
Technical Specifications
| Component |
Specification |
| Processor |
NVIDIA Grace Blackwell |
| Memory |
128 GB LPDDR5X |
| Storage |
2 TB NVMe M.2 SSD |
| Operating System |
DGX OS |
| Networking |
10 Gigabit Ethernet |
| Connectivity |
HDMI, Multiple USB Type-C |
| Dimensions |
2" × 5.9" × 5.9" |
| Part Number |
DT.R6LAA.003 |
| Manufacturer |
Acer |
Frequently Asked Questions
What is the Acer Veriton VGN100-UD13 best used for?
The VGN100-UD13 AI mini workstation excels in AI inference, machine learning model deployment, data science research, and edge AI computing. Its compact design and petaFLOP-level performance make it ideal for labs, production environments, and space-constrained deployments requiring high-performance AI acceleration.
How much memory does the Veriton VGN100-UD13 have?
This AI workstation features 128 GB of LPDDR5X memory, providing substantial bandwidth and capacity for complex AI models, multi-model inference, and data-intensive machine learning workloads without memory bottlenecks.
Is the Veriton VGN100-UD13 suitable for edge deployment?
Yes. The compact mini form factor (2" × 5.9" × 5.9"), combined with 10 Gigabit Ethernet and DGX OS optimization, makes the VGN100-UD13 an excellent choice for edge AI computing, remote inference, and distributed machine learning environments.
What operating system does the VGN100-UD13 run?
The Acer Veriton VGN100-UD13 runs DGX OS, NVIDIA's purpose-built operating system optimized for AI workloads, ensuring seamless integration with the NVIDIA ecosystem and maximum performance for deep learning and AI applications.
