Medical Embedded System mBOX603

High-Power AI Medical Edge Computing System with 13th Gen Intel i9/i7/i5/i3 Processor. Supports dual GPU expansion

SGD $0.00
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- 13th gen Intel i9/i7/i5/i3 processor with Intel R680E chipset, up to 65W TDP
- 2 DDR4-3200 SO-DIMM, up to 64GB memory
- 2 HDMI 1.4b and 1 DisplayPort++ 1.2 with 4K UHD resolution
- 2 COM and two 2.5GbE LAN
- 2 PCIe x16 expansion slots for GPU and capture cards
- 1 M.2 Key E 2230 and 1 M.2 Key B 3052/3042
- 1 M.2 Key M 2280 slot and two 2.5" SATA III drives

Axiomtek mBOX603 is specifically designed to tackle hardware challenges in medical AI imaging, offering a robust, high-performance solution for healthcare providers. Its advanced features ensure seamless integration and exceptional performance, addressing critical industry needs.

Unmatched Performance for AI Imaging
Axiomtek mBOX603 is powered by 13th Gen Intel® Core™ processor and supports up to 64GB of DDR4 memory, delivering the robust computational power needed for AI-intensive medical imaging tasks. Dual PCIe x16 slots accommodate advanced GPUs, such as the NVIDIA RTX series, enabling seamless execution of complex AI models and processing of high-resolution image datasets.

Optimised Storage and Display Capabilities
This system offers exceptional storage flexibility with two 2.5" hot-swappable SATA III drives featuring RAID 0/1 support and an M.2 NVMe SSD slot, ensuring efficient data management for massive medical imaging files.  mBOX603 computer also provides superior visual performance with dual HDMI and DisplayPort++ outputs, supporting high-resolution displays essential for real-time analysis and image rendering.

Certified Reliability and Seamless Connectivity
Engineered for critical healthcare environments, Axiomtek mBOX603 meets IEC 60601-1 standards for safety and EMC compliance, ensuring interference-free operation with other medical equipment. Its versatile connectivity options include dual 2.5GbE LAN ports, USB 3.2, COM ports, and wireless support for 5G/4G/LTE and Wi-Fi. Allowing seamless integration with existing hospital infrastructure.

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Axiomtek mBOX603 next-gen medical computer
Axiomtek

Medical Embedded System mBOX603

SGD $0.00

- 13th gen Intel i9/i7/i5/i3 processor with Intel R680E chipset, up to 65W TDP
- 2 DDR4-3200 SO-DIMM, up to 64GB memory
- 2 HDMI 1.4b and 1 DisplayPort++ 1.2 with 4K UHD resolution
- 2 COM and two 2.5GbE LAN
- 2 PCIe x16 expansion slots for GPU and capture cards
- 1 M.2 Key E 2230 and 1 M.2 Key B 3052/3042
- 1 M.2 Key M 2280 slot and two 2.5" SATA III drives

Axiomtek mBOX603 is specifically designed to tackle hardware challenges in medical AI imaging, offering a robust, high-performance solution for healthcare providers. Its advanced features ensure seamless integration and exceptional performance, addressing critical industry needs.

Unmatched Performance for AI Imaging
Axiomtek mBOX603 is powered by 13th Gen Intel® Core™ processor and supports up to 64GB of DDR4 memory, delivering the robust computational power needed for AI-intensive medical imaging tasks. Dual PCIe x16 slots accommodate advanced GPUs, such as the NVIDIA RTX series, enabling seamless execution of complex AI models and processing of high-resolution image datasets.

Optimised Storage and Display Capabilities
This system offers exceptional storage flexibility with two 2.5" hot-swappable SATA III drives featuring RAID 0/1 support and an M.2 NVMe SSD slot, ensuring efficient data management for massive medical imaging files.  mBOX603 computer also provides superior visual performance with dual HDMI and DisplayPort++ outputs, supporting high-resolution displays essential for real-time analysis and image rendering.

Certified Reliability and Seamless Connectivity
Engineered for critical healthcare environments, Axiomtek mBOX603 meets IEC 60601-1 standards for safety and EMC compliance, ensuring interference-free operation with other medical equipment. Its versatile connectivity options include dual 2.5GbE LAN ports, USB 3.2, COM ports, and wireless support for 5G/4G/LTE and Wi-Fi. Allowing seamless integration with existing hospital infrastructure.

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