Developer Kits with Intel® Core™ Processors
Preinstalled Software
Get the most out of your hardware performance with the Intel® Distribution of OpenVINO™ toolkit, Ubuntu* Desktop LTS, and libraries.
Pretrained Models for Acceleration
Choose from a variety of optimized detection and recognition models for developing deep learning applications.
Training Extensions for Deep Learning
Modify, customize, train, and extend computer vision models for deep learning and inference optimization.
Overview
Build solutions that can handle demanding use conditions in retail, industrial, healthcare, and other applications at the edge on developer kits with 13th generation Intel® Core™ processors. These developer kits support pretested and prevalidated edge software packages to deliver compute performance in parallel with accelerated AI inferencing and computer vision for your solution.
- Delivers outstanding multithreaded performance1 with the latest generation of performance-hybrid architecture that combines performance-cores with efficient-cores and increased cache sizes.
- Optimizes real-world IoT workloads through intelligent management of tasks with Intel® Thread Director.
- Speeds up image processing and uses up to four independent 4K displays with the Intel® UHD Graphics 770 or Intel® Iris® Xe graphics driven by Xe Architecture.
- Provides accelerated AI and deep learning capabilities without additional hardware or offload multiple workloads to optional Intel® Vision Accelerator products.
- Supports more I/O connectivity and throughput with up to 16 PCIe* 5.0 lanes, including Intel® Wi-Fi 6E.
Who Needs This Product
System integrators, independent software vendors (ISV), and IoT developers who create vision-based inferencing applications at the edge that demand:
- High-performance AI inferencing algorithms across Intel® Vision Products and platforms.
- Improved performance for real-time workloads using integrated Ethernet controllers with time-sensitive networking (TSN) support.
- Ability to offload multiple workloads to an Intel® processor or GPU.
- Support four independent displays (up to 8K).
To determine the features and capabilities implemented by our ecosystem collaborators, see Hardware.
Reference Implementations
Prebuilt and validated reference implementations are available for developers to test and deploy industrial, retail, and healthcare applications enabled for computer vision.
Your experience may vary depending on the configuration of your developer kit. For details, see the target system requirements in the reference implementation.
Hardware
Prevalidated developer kits.
ASRock Industrial* iEP-7020E Series Industrial IoT Controller
- Delivers performance powered by the Intel® Core™ mobile processor with industrial extended temperature.
- Prevalidated with Edge Insights for Vision and Edge Control for Industrial software package. It enables computer vision and process automation for application at the edge, optimized for Intel® architecture.
- Supports multiple Ethernet interfaces with Intel® Time Coordinated Computing (Intel® TCC), time sensitive networking (TSN), and in-band ECC.
IEI* TANK-XM811AI-RPL AIoT Developer Kit
- Delivers performance powered by the Intel Core desktop processor.
- Comes preinstalled with Edge Insights for Vision software package. It enables computer vision and deep learning inference for applications at the edge, optimized for Intel architecture.
- Provides four PCIe slots for more customization and expansion options.
Seavo* RKI-V60 AIoT Developer Kit
- Delivers performance powered by the Intel Core mobile processor.
- Comes prevalidated with Edge Insights for Vision software package and Intel® Edge AI Box for video analytics reference implementation. Use these resources for computer vision and deep learning inference applications at the edge that are optimized for Intel architecture.
- Enables flexible deployment in a slim and compact chassis with ample I/Os for expansion options.
Software
Intel® Distribution of OpenVINO™ Toolkit
- Enable convolutional neural network-based deep learning inference on the edge.
- Support heterogeneous running across various accelerators—CPUs, GPUs, Intel® Movidius™ Neural Compute Sticks (NCS), and Intel Vision Accelerator Design products—using a common API.
- Speed up time to market via a library of functions and preoptimized kernels.
Overview | Training | Documentation | Get Started | Forum
Intel® oneAPI Base & IoT Toolkit
The combination of Intel® oneAPI Base Toolkit and Intel® oneAPI IoT Toolkit provides developers what they need to implement efficient, reliable, cross-architecture IoT solutions that run at the network edge. It delivers a core set of high-performance build tools and libraries and analysis tools to simplify IoT system design, development, and deployment across CPUs, GPUs, FPGAs, and other accelerator architectures.
Intel® Edge Software Hub
- Download the latest software packages for edge solutions (including computer vision and deep learning applications) for Intel architecture.
- Develop, test, deploy, and maintain solutions at the edge with software packages and tools.
- Optimize your computer vision and deep learning applications for Intel architecture with the Intel Distribution of OpenVINO toolkit.
- Maintain and manage your applications with containerized architecture and regular updates.
- Get started quickly with reference implementations, tutorials, and samples.