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Compact AI computer delivering up to 472 GFLOPS with CUDA‑enabled GPU, ideal for low‑cost vision and robotics IoT projects.
Powerful 21 TOPS AI module with 6‑core ARM CPU and Volta GPU, suited for demanding edge analytics in drones, smart cameras, and industrial IoT.
Next‑gen edge AI platform offering up to 200 TOPS, supporting multiple AI models simultaneously for autonomous machines and high‑throughput IoT gateways.
Vision‑focused neural compute stick delivering 1 TOPS of performance with low power draw, perfect for edge vision and audio inference.
Software suite that optimizes and deploys deep‑learning models on Intel CPUs, VPUs, FPGAs, and GPUs for edge IoT devices.
High‑performance embedded processor with integrated Radeon Vega graphics, delivering up to 1.5 TFLOPS for AI inference on edge gateways.
64‑bit compute platform with Hexagon DSP and AI Engine, offering up to 7 TOPS for on‑device vision, speech, and sensor processing.
Integrated AI accelerator across Snapdragon 8‑series SoCs, delivering efficient inference for AR/VR, robotics, and smart‑city IoT nodes.
Ultra‑low‑latency, 26 TOPS neural‑network processor designed for edge cameras, drones, and industrial IoT with a tiny footprint.
Energy‑optimized version of Hailo‑8 delivering 10 TOPS, ideal for battery‑powered IoT devices and wearables.
Ultra‑low‑power audio‑first AI chip (≤1 mW) for keyword spotting, voice assistants, and acoustic event detection in edge IoT.
Higher‑performance version of NDP100 supporting multi‑modal AI (audio + sensor) while staying under 5 mW.
Software development kit that leverages MediaTek AI‑optimized SoCs (e.g., Dimensity) for on‑device inference in smart home and wearables.
Adaptive compute platform combining scalar engines, AI engines, and programmable logic, delivering up to 1 TFLOPS for edge AI workloads.
Heterogeneous SoC with ARM cores, programmable logic, and AI Engine, enabling custom acceleration for IoT edge inference.
8‑core Cortex‑A76/A55 processor with NPU (up to 6 TOPS) and Mali‑G610 GPU, targeting AI‑enabled cameras, gateways, and robotics.
Edge‑optimized AI accelerator delivering up to 30 TOPS, designed for smart city cameras, autonomous vehicles, and industrial IoT.
Edge‑computing service with built‑in AI inference capabilities, enabling rapid deployment of models to IoT gateways across China.
Rugged, portable edge compute device with GPU/FPGA options, supporting on‑device ML inference for remote IoT sites.
Microsoft’s edge runtime that runs containerized AI models (e.g., TensorRT, OpenVINO) on heterogeneous hardware for scalable IoT deployments.
#22 Edge Impulse
End‑to‑end platform for building, training, and deploying TinyML models to a wide range of edge hardware (including the above chips).