Real-Time AI Acceleration Framework
A framework for predictable, high-throughput edge AI inference using hardware acceleration and runtime optimization.
Key Capabilities
01Real-time AI workload scheduling with bounded latency
02Hardware accelerator integration (NPU / GPU / DSP) with optimized data paths
03Low-latency inference pipelines and memory-efficient execution
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For safety-critical, high-performance, and security-sensitive systems
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