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 14th 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 a mix of Intel® hardware and environments.
- Ability to offload multiple workloads to an Intel processor, GPU, or NPU.
- Support four independent 4K displays or two independent 8K displays.
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.
IEI* TANK-XM811AI-RPL AIoT Developer Kit
Intel® Arc™ Pro A40 Graphics Is Supported
- Delivers performance powered by the Intel Core desktop processor.
- Comes prevalidated 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.
Qualified with the following edge solutions:
ASRock Industrial* iEPF-9030S-EW4 Expandable Edge AIoT Platform
Intel Arc Graphics Is Supported
- 14th generation Intel Core processors with an R680E chipset
- Powerful Edge AI acceleration enabled by the most flexible mechanical, thermal, and power design, with support for 275 mm x 138 mm x 60 mm (L x H x D) max and up to 600 W graphic card
Qualified with the following edge solutions:
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.