Turnkey system manufacturer MBX Systems has introduced a lineup of hardware reference platforms designed to reduce time to market for medical AI applications being deployed as embedded systems, edge devices or edge servers.

The new MBX Varion platforms can be combined with tools like NVIDIA Clara, a healthcare application framework for AI-powered medical imaging, to slash development time for medical AI, machine learning and computer vision applications up to 10X by minimising the need for custom development work.

The reference platforms are available in four form factors and feature pre-configured building blocks tailored to medical AI needs such as patient monitoring, diagnostics and imaging. All of the new Varion reference platforms support edge AI inferencing and are optimised for AI applications.

Two of the four are AI-enabled embedded systems equipped with high-performance NVIDIA Jetson Xavier architecture. Both systems feature support for cloud-native applications, compact fanless design, low power consumption, and a small footprint for embedded use. The Varion G1-PSF-JNX supports on-board inferencing, while the Varion G1-PSF-JAGX comes bundled with Linux Ubuntu 18.04 and supports a PCIe add-on card.

One is a high-performance AI edge server supporting multiple AI inputs or cameras for inferencing and analytics requirements. The Varion G1-P2R8-ID is a 2U rackmount unit featuring multiple GPU AI inference capabilities, 1-4 NVIDIA A30 GPUs for high-performance graphics processing, and certification to work with the NVIDIA Clara software suite. It can be used in a central data centre or in an edge environment such as a diagnostic facility.

The last of the four is a compact AI platform that can be used as either an embedded solution or a small AI edge device. The Varion P2 features single PCIe x16 slots that can accommodate a single or double-wide graphics card for on-device AI and inference and an optional VESA mount for easy attachment to other devices. It can be customised for applications with needs that are not met by the other three platforms.