According to a recent LinkedIn post from MemryX, the company is emphasizing SDK v2.2 as its most substantial upgrade since version 2.0, spanning compiler, driver, and runtime components. The post indicates broader support for Keras and ONNX models, performance gains of up to 4x FPS on architectures such as YOLO, and reduced manual setup via auto-detection for newer YOLO versions.
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The company’s LinkedIn post also points to higher driver throughput for bandwidth-heavy workloads, a unified C++ and Python API geared toward multi-stream use cases, and new runtime controls that balance performance and power. For investors, these enhancements suggest MemryX is working to improve ease of deployment and efficiency for AI inference workloads, which could strengthen its competitive position in edge AI hardware and software ecosystems and support customer adoption over time.