A LinkedIn post from MemryX highlights the release of SDK 2.2, which is described as a major update spanning the compiler, driver, and runtime. The post points to broader model support across Keras and ONNX frameworks and cites performance gains on architectures such as YOLO, with some workloads reportedly achieving up to four times higher frames per second.
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The update is also presented as reducing integration friction, with automatic detection for newer YOLO versions and a unified C++ and Python API aimed at improving multi‑stream application performance. New runtime controls to balance power and performance, along with higher driver throughput for bandwidth‑heavy workloads, suggest MemryX is positioning its platform as more scalable and efficient for AI inference, which could enhance its competitiveness in edge and embedded AI markets.