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| Quantité | Prix |
|---|---|
| 1+ | 5 107,670 $ |
Prix pour :Each
Minimum: 1
Multiple: 1
5 107,67 $
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Informations produit
FabricantADVANTECH
Réf. FabricantUSM-500-7400AA1
Code Commande09AN7520
Fiche technique
Processor Core TypeIntel Core i3/i5/i7
Core NumberR680E
Silicon Family NameIntel 600
Processor Speed-
RAM Memory Size16GB
Kit ContentsMedical Computer R680E
InterfacesEthernet, RS-232/422/485, USB
Operating SystemWindows 10 LTSC, Windows 11, Linux
Operating Temperature Range-
Fanless-
Aperçu du produit
USM-500-7400AA1 is an industries first NVIDIA-certified standard model medical-grade computer aimed at providing AI at the edge for hospital applications and healthcare environments. This innovative Edge AI platform features support for the NVIDIA RTX -A6000 graphics card and NVIDIA's AI tools and frameworks like RAPIDS, Tensor RT and Triton Inference Server. The USM-500 efficiently utilizes two video capture cards and one NVIDIA graphics card to capture large video data while executing real-time AI algorithms and analysis.
- 900W PSU, i7-12700E CPU, 16G memory and 512G SSD
- Stylish and user-friendly outlook for hospital environment
- Support Intel® 12th/13th/14th Gen Core™ i7/i5/i3 processor with intel R680E
- Rich expansion for multi-purpose application
- Support Window 10/11/LTSC/Linux/NVIDIA AI (Clara SDK)
- M.2 2280 expansion slot, HDMI and DP for multiple display used
- Support WISE-Device on and support software RAID 0,1,5,10, TPM2.0
- Input voltage: 100-240V, 11.5-5.5A, 60-50Hz or 200-240V, 5.5A, 60-50Hz
- Dimension is 320 x 329.5 x 145mm (TBD)
- Operating system: Windows 10 LTSC/11, Linux and windows 2021 server (By project base)
Spécifications techniques
Processor Core Type
Intel Core i3/i5/i7
Silicon Family Name
Intel 600
RAM Memory Size
16GB
Interfaces
Ethernet, RS-232/422/485, USB
Operating Temperature Range
-
Core Number
R680E
Processor Speed
-
Kit Contents
Medical Computer R680E
Operating System
Windows 10 LTSC, Windows 11, Linux
Fanless
-
Documents techniques (1)
Législation et Questions environnementales
US ECCN:Unknown
EU ECCN:Unknown
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