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Medical AI ACCEL-HPC500 - Server Grade AI Computing Unit

2022/03/10
Server Grade AI Computing

The Onyx ACCEL-HPC500 is equipped with a 3rd Generation Intel® Xeon® (Ice Lake) processor with up to 32 cores.It is also a highly expandable system with four PCI Express [x16] and three PCI Express [x8] slots. With its considerable expansibility, the ACCEL-HPC500 supports high-end graphics card integration up to 300W for computing as well as video capture to record high resolution imaging for AI analysis. Most importantly, the ACCEL-HPC500 is medical certified including IEC and UL60601-1 to provide solid quality and higher safety in medical usage. 

HPC500 Feature Introduction

 

High End GPU Card

An NVIDIA GPU provides an immediate path to greater deep learning performance. GPUs have evolved into highly parallel multi-core systems, allowing very efficientmanipulation of large blocks of data. This design is more effective than general purpose central 
processing units (CPUs) for algorithms in situations where processinglarge blocks of data is done in parallel. Processing large blocks of data is basically what deep learning does.

 

 

 

 

 

High End Server Grade Processor  

Support for 3rd Generation Intel® Xeon® Scalable processor up to 32 cores optimized 
for cloud, enterprise, HPC, network, security, IoT, and medical workloads.

 

 

 

 

 

 

 

High Expansibility

Supporting 4 PCIe 4.0 [x16] and 3 PCIe 4.0 [x8] slots give you plenty of options for I/O expandability, wireless connectivity, multimedia use, or even storage management.

 

 

 

 

 

 

Up to 2100W Medical Power Supply  

A high-power consumption medical grade power supply supports integration of multiple high end graphics cards.

 

 

 

 

 

 

Medical Certification 

The HPC500 medical box PC has been independently tested to meet the stringent standards of UL/cUL and IEC 60601-1-2 certification. This means it has been tested for radiation and electromagnetic compatibility standards that are vital for use in medical devices, operating rooms, and near patients.

 

 

 

 

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