A LinkedIn post from MemryX highlights the recent release of SDK 2.2, which appears to deliver broad updates across the compiler, driver, and runtime. The post indicates expanded out-of-the-box model support for Keras and ONNX, improved YOLO performance with reported gains of up to 4x FPS, and reduced manual setup through auto-detection for newer YOLO versions.
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The update also points to higher throughput from the driver for bandwidth-heavy workloads and a unified C++ and Python API that is positioned to enhance multi-stream application performance. New runtime controls designed to balance performance and power automatically suggest a focus on efficiency, which may strengthen MemryX’s competitiveness in edge AI and inference markets and could support future adoption among cost-sensitive enterprise and OEM customers.