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Real-time processing of security-specific telemetry and logs for threat identification.
Distinct from Stream Processing: Specializes general stream processing for security-domain data classification and threat actioning.
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jetson-inference is a set of libraries and tools for executing optimized deep learning models on embedded GPU hardware. Its primary purpose is to enable real-time computer vision and AI inference at the edge with low latency and high throughput. The project distinguishes itself through high-performance streaming analytics and the ability to execute concurrent AI pipelines on auto-grade silicon. It provides specialized support for multi-sensor stream processing, utilizing zero-copy data transport to load camera frames directly into GPU memory. The codebase covers a broad surface of capabiliti
Provides GPU-accelerated filtering and classification of high-volume streaming security data to identify threats.