Developer Kits with Intel Atom® x6000E 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
Develop and deploy computer vision and deep-learning inference solutions at the edge with developer kits based on the Intel Atom® x6000E processor.
- Gain up to 1.7x compute performance and up to 2x graphics performance from previous generation processors.¹
- Design your solution on a development platform with broad operating system and firmware support, prevalidated with Intel® tools and SDKs.
- Accelerate workloads on the CPU and graphics processing unit (GPU), or offload multiple workloads to optional Intel® Vision Accelerator products with the Intel® Distribution of OpenVINO™ toolkit.
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
- Real-time workloads that include media encoding and decoding, and signal and data processing
- Ability to offload multiple workloads to the Intel® processor, GPU, or the optional Intel Vision Accelerator
Reference Implementations
These solutions have been prebuilt and validated for developers to test and deploy industrial, retail, healthcare, and digital security applications that are enabled for computer vision and deep-learning inference.
Hardware
Prevalidated developer kits with an optional Intel Vision Accelerator.
Intel Atom x6000E, Pentium®, and Celeron® N and J Processors
Deep-Learning Performance Benchmark Data on Intel® Platforms
UP Squared* 6000 Edge Computing Kit
Optional: UP* AI Core XM2280 with two Intel® Movidius™ Myriad™ X VPUs
UP Squared* 6000 Board
Optional: UP AI Core XM2280 with two Intel Movidius Myriad X VPUs
Kit Details | Datasheet | Software Installation | Get Started | Support
Intel® Vision Accelerator Design
This option enables the following capabilities:
- Delivers high-performance machine vision at ultra-low power.
- Offloads workloads to increase available processing efficiency.
- Is engineered for performance and inferencing at the edge.
Review the supported pretrained models for the Intel Distribution of OpenVINO toolkit. Learn More
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® DevCloud
Explore this cloud-hosted AI development platform with access to Intel® hardware to find a solution that meets your needs.
- Try a variety of hosted hardware including Intel Atom®, Intel Core, and Intel® Xeon® processors or the Intel® Movidius™ VPU.
- Upload your own AI model or choose from a library of prebuilt sample applications.
- Benchmark hardware solutions to optimize for your performance needs.
Intel® Edge Software Hub
- Download the latest Edge Insights for Vision software package.
- 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.
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.