Chip designers, hardware manufacturers, software providers, infrastructure operators, robotics and computer-vision companies working across the edge AI stack.
Develops the Jetson family of edge system-on-modules, the DGX Spark desktop AI system and the JetPack, TensorRT and DeepStream software stacks used for edge inference, robotics and vision AI.
Supplies Core Ultra client processors that combine CPU, Arc graphics and an integrated NPU, and maintains the open-source OpenVINO toolkit for optimising inference on Intel CPUs, GPUs and NPUs.
Designs the Snapdragon X platform for Windows PCs and edge clients, pairing Oryon CPU cores, Adreno graphics and the Hexagon NPU. Qualcomm also owns the Edge Impulse edge MLOps platform.
Produces Ryzen AI processors that combine Zen 5 CPU cores, RDNA 3.5 graphics and the XDNA 2 NPU, with large unified memory configurations used for local generative AI workloads.
Publishes the Coral Edge TPU accelerators for low-power on-device inference and maintains LiteRT, the on-device runtime that succeeded TensorFlow Lite, together with the open-weight Gemma model family.
Supplies the AM6xA and TDA4 processor families, which combine Arm application cores, vision and imaging accelerators and a deep learning accelerator for embedded vision, robotics and automotive designs.
Fabless SoC designer whose RK35xx application processors combine Arm CPU clusters, Mali graphics and an integrated NPU, widely used in single-board computers, panel devices and edge video products.
Fabless company developing discrete edge AI processors, M.2 and PCIe accelerator modules and the Hailo AI Software Suite, spanning classic vision workloads and, with Hailo-10H, generative models.
Produces the IMX500 intelligent vision sensor, a stacked CMOS image sensor with an integrated AI processing block and on-chip memory, supported by the AITRIOS edge AI sensing platform.
Industrial computing manufacturer supplying modular fanless edge systems such as the MIC-770 series and GPU-dense edge AI servers such as the AIR-520 for factory and infrastructure deployments.
Builds embedded computing modules and the DLAP family of deep learning acceleration platforms, including fanless Jetson-based inference systems with Power over Ethernet camera inputs.
Designs fanless edge AI systems and carrier boards around NVIDIA Jetson modules, including wide-input, wide-temperature platforms for machine vision and mobile robotics integrators.
Builds configurable industrial computers, including fanless systems with Intel Core Ultra processors and expansion for Hailo accelerators or NVIDIA graphics cards.
Industrial automation and software group whose SIMATIC IPC industrial PCs and Industrial Edge platform bring application and AI workloads alongside controllers and plant data.
Supplies the PowerEdge XR range of short-depth, edge-focused servers for industrial automation, video analytics and inference at retail, telecom and factory sites.
Manufactures ThinkEdge edge servers and ThinkStation workstations, including multi-GPU platforms for local model development and EPYC-based edge systems for distributed sites.
Builds IoT SuperServer and edge box systems with Xeon Scalable processors and full-height PCIe expansion for accelerators, aimed at telecom, industrial and retail edge sites.
Network video manufacturer producing cameras that run deep-learning analytics on the device through AXIS Object Analytics and the open AXIS Camera Application Platform.
Video surveillance manufacturer whose cameras include an on-board NPU for object detection, classification and licence plate recognition, with AI-assisted noise and bandwidth reduction.
Maintains the YOLO family of open-source vision models covering detection, segmentation, classification, pose estimation and oriented bounding boxes, dual-licensed under AGPL-3.0 and a commercial licence.
Provides computer vision tooling including the open-source Inference package and inference server, covering model loading, pre- and post-processing and workflow execution on edge devices.
Edge MLOps platform, now part of Qualcomm, for collecting data, training and deploying models to microcontrollers, NPUs, CPUs and GPUs across a broad partner hardware ecosystem.
Container-based platform for deploying and managing fleets of Linux edge devices, with over-the-air updates, an API and SDK, and support for a large catalogue of device types.
Originator of K3s, the lightweight CNCF-conformant Kubernetes distribution now a CNCF project, widely used to orchestrate containerised AI workloads on edge and Arm hardware.
Maintains the MIT-licensed Ollama runtime for pulling and serving open-weight language and multimodal models locally on workstations, servers and capable edge systems.
Maintainers of the ggml tensor library and llama.cpp, an MIT-licensed C and C++ inference engine that runs open-weight language models on CPUs and on CUDA, Metal and Vulkan backends.
Originated ONNX Runtime, the MIT-licensed cross-platform inference accelerator, and publishes the Phi family of small open-weight models aimed at low-latency local inference.
Publishes open-weight language and multimodal models, including Apache 2.0 licensed Mistral Small builds designed for latency-sensitive and self-hosted deployments.
Hosts open-weight models and publishes the SmolVLM family of compact vision-language models designed explicitly for on-device inference under the Apache 2.0 licence.