Applications
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The DeepX NPU is a dedicated neural processing unit built to deliver high-performance vision inference at the edge—without the complexity, power consumption, or cost of a GPU. Designed specifically for tasks like object detection, classification, segmentation, and more, this chip delivers up to 25 TOPS of performance in a highly compact and power-efficient package.
Engineers working on embedded AI applications often face the trade-off between inference capability and system size or cost. The DeepX NPU removes that compromise by offering real-time inference under $50, with dramatically better FPS-per-TOPS performance than typical edge GPUs or general-purpose SoCs.
The chip uses a targeted architecture that includes LPDDR memory and minimal on-chip SRAM. This lean memory footprint allows inference to run on under 1 GB of memory, supporting lightweight models without sacrificing throughput. The DeepX team reports up to 10× the performance-per-watt efficiency of conventional GPU systems—an advantage that translates directly into longer battery life and less thermal management overhead in field-deployed systems.
For developers scaling from smart home appliances to autonomous robotics or industrial inspection systems, the DeepX NPU is highly modular. A single chip delivers 25 TOPS, but multiple NPUs can be run in parallel for systems that require up to 200 TOPS. Connectivity via PCIe ensures easy integration with host processors such as Raspberry Pi 5, RK3588, or other popular SBCs.
The development environment is application-ready. DeepX provides a plug-and-play development board, a pre-supported model library, and AWS integration for model training and deployment. Engineers can use the platform to train in the cloud, then deploy inference models directly onto the NPU. Field updates are supported, enabling long-term maintainability and system improvement without costly hardware swaps.
The DeepX NPU also supports non-visual data types. By converting audio into spectrograms, it extends its inference capabilities to voice detection, sound event recognition, and multimodal AI pipelines—all processed within the same efficient compute architecture.
With proven performance, developer-friendly tools, and a sub-$50 price point, the DeepX NPU is a compelling solution for any edge AI engineer looking to build smarter, faster, and leaner vision-enabled systems.