MX500B-QA

The MX500B-QA MXM 3.1 Type A GPU module integrates NVIDIA RTX PRO 500 Blackwell GPU, featuring the latest NVIDIA CUDA and Ray tracing technologies. Delivering exceptional AI performance, larger memory capacity, and greater throughput—perfect for high-performance edge AI applications. Aetina backs this solution with a 5-year product lifecycle, ensuring long-term reliability and support.

In NVIDIA RTX PRO Blackwell MXM series from Aetina, the MX500B-QA delivers essential acceleration for GPGPU workloads and image processing tasks, perfect for lightweight edge AI application for low-power, space-limited deployments.

Powered by NVIDIA RTX PRO 500 Blackwell GPU, featuring 4th Gen RT Cores and 5th Gen Tensor Cores, the MX500B-QA powers up real time edge AI performance and added support with FP4 precision, and NVIDIA DLSS 4 Multi-Frame Generation—enabling faster AI model computation and immersive AI-driven graphics.

All MXM AI modules under Aetina CoreEdge GPU series offers optional extended temperature and conformal coating. Combined with the robust durability and secure mounting design of Aeina’s MXM AI module, the enhancements ensure stable and reliable operation in challenging environments, such as high-humidity, dust and vibration, commonly found in industrial, agricultural, and military embedded applications.

Based on NVIDIA GPU specification, Aetina’s CoreEdge MXM series offers optional configurable TDP (power cap) services — ideal for thermal-constrained deployments, power-constrained systems as well as scenarios requiring precise performance-to-power optimization.

3x DP 2.1a ports enables multi-monitor setups with high resolution display for visual workloads. For applications where display output is unnecessary, a no-display option is also available.

Aetina’s evaluation kits simplify early-stage AI development by offering a ready-to-use platform with PCIe Gen4 x16, 4x HDMI outputs, and support for Blackwell, Ada, Ampere and Turing-based MXM modules—ideal for quick testing of performance, compatibility, and application feasibility.

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