UP AI Core X Series

Deep Neural Networks Hardware accelators

UP AI Core X series, powered by Intel® Movidius™ Myriad™ X VPUs, drive the demanding workloads of modern computer vision and AI applications at ultra-low power.

UP AI CORE X is the most complete product family of neural network accelerators for Edge devices. The expansion boards are available in MiniCard/mPCIe, M.2 2280 and custom form factors with single and multiple chips. With just a few watts of power consumption, each chip delivers up to four trillion operations per second (TOPS) with a Neural Compute Engine capable of delivering up to one TOPS.

Overview

Intel® Movidius™ Myriad X

  • Video Processing Unit (Hardware Neural network)
  • Optimized for Machine learning
  • Real Time Pattern Recognition
why-ai1

Machine learning in the Cloud

  • Highly Efficient (Performance / W)
  • High costs
  • 1000s of Classes
  • Large Workloads
  • Varying accuracy
  • Server Form Factor
why-ai2

Machine learning on the Edge

  • Extreme low Power – 1W-5W
  • Low costs
  • <10 Classes
  • Frame Rate: 15-30fps
  • Varying accuracy
  • Custom form factor

Board Details

Hardware overview

  • Intel® Movidius™ Myriad™ X VPU
  • Intel® Vision Accelerator Design SW SDK
  • Supported frameworks: TensorFlow, Caffe, MXNET
  • Ubuntu 16.04, Windows® 10
  • Onboard LPDDR4 Memory up to 32GB

Why Artificial Intelligence on the Edge?

Most IT solutions which are available today are focused on connecting Edge devices to the cloud and these deployments face challenges related to latency, network bandwidth, reliability and security.

Experts in this field agree that not all the tasks and decision-making processes can be addressed in cloud-based models. UP AI Edge is the solution for those cloud limitations by bringing AI performance and hardware acceleration not ‘at’ but ‘ON’ the Edge of the Internet of Things and of the latest technology.

What can you achieve with this AI module?

The Intel® Movidius™ Myriad™ X VPU is a giant leap over the previous generation of VPUs. It can reach up to 105 FPS (80 typical), and can perform over 1 trillion floating point operations per second as a dedicated neural network accelerator. The Intel® Movidius™ Myriad™ X is capable of processing video and performing facial recognition in real-time. Best of all, the Intel® Movidius™ Myriad™ X is an ultra-low power VPU, needing very little energy to perform.

Explore its potential

AI Proof

 ▶ Add UP AI Core X
   1x Myriad™ X VPU on UP Xtreme
 ▶ Add UP AI Core XM 2280
   2x Myriad™ X VPU on UP Xtreme
 ▶ Add UP Vision Plus X
   3x Myriad™ X VPU on UP Xtreme
 ▶ Run up to 6x Myriad™ X VPU
   on UP Xtreme

Tech Specifications

Enabling deep learning by multiple VPU

Are you trying to run more than one camera? Do you need a different network in VPU? Or do you require a whole different interface? UP AI Edge provides different options for the numbers of VPU and interface.
It goes along with most of the mainboards in the market for ease of your your development. Once the development is completed, we can also integrate the VPU into a custom single board computer.

UP AI Core X 
SoCIntel® Movidius™ Myriad™ X VPU 2485
Quantity of VPU1
Form factorMini PCI-Express
Memory4Gb LPDDR4 x1
Dimensions30 x 51 mm (1.18″ x 2.00″)
ThermalFanless heatsink
Supported FrameworksCaffe, TensorFlow, MXNet, Kaldi, ONNX
Minimum system requirementsx86_64 Computer running Ubuntu 16.04, 1GB memory, 4GB Free storage, vacant expansion slot
Software toolIntel® Distribution of OpenVINO™ toolkit R4 or above rev.


UP AI Core XM 2280 
SoC2x Intel® Movidius™ Myriad™ X VPUs 2485
Quantity of VPU2
Form factorM.2 2280
Memory4Gb LPDDR4 x2
Dimensions22 x 80 mm (0.86″ x 3.14″)
ThermalHeatsink with active fan
Supported FrameworksCaffe, TensorFlow, MXNet, Kaldi, ONNX
Minimum system requirementsx86_64 Computer running Ubuntu 16.04, 1GB memory, 4GB Free storage, vacant expansion slot
Software toolIntel® Distribution of OpenVINO™ toolkit R4 or above rev.

Vision Plus X 
SoC3x Intel® Movidius™ Myriad™ X VPUs 2485
Quantity of VPU3
Form factorCredit Card
Memory4Gb LPDDR4 x3
Dimensions56.5 mm x 90mm (2.22″ x 3.54″)
ThermalFanless heatsink
Supported FrameworksCaffe, TensorFlow, MXNet, Kaldi, ONNX
Minimum system requirementsx86_64 Computer running Ubuntu 16.04, 1GB memory, 4GB Free storage, vacant expansion slot
Software toolIntel® Distribution of OpenVINO™ toolkit R4 or above rev.
Ethernet1x Gigabit Ethernet (Realtek 8111G) to main board,
USB2x USB 3.0 Type A
Expansion Slot1x Mini card (full-size) SATA-PCI-e colay
Docking2x Docking connector 100-pin to UP Core Plus
Power12V DC
Operating temps0~60°C
Operating humidity10%~90%RH non-condensing
CertificationCE/FCC Class A
CompatibilityCompatible with UP Core Plus & UP Xtreme

UP AI Core XP4 
SoC4x Intel® Movidius™ Myriad™ X VPUs 2485
Quantity of VPU4
Form factorPCIe x4
Memory4Gb LPDDR4 x4
Dimensions111 x 170 mm (4.37″ x 6.69″)
ThermalHeatsink with active fan
Supported FrameworksCaffe, TensorFlow, MXNet, Kaldi, ONNX
Minimum system requirementsx86_64 Computer running Ubuntu 16.04, 1GB memory, 4GB Free storage, vacant expansion slot
Software toolIntel® Distribution of OpenVINO™ toolkit R4 or above rev.

UP AI Core XP8 
SoC8x Intel® Movidius™ Myriad™ X VPUs 2485
Quantity of VPU8
Form factorPCIe x4
Memory4Gb LPDDR4 x4
Dimensions111 x 170 mm (4.37″ x 6.69″)
ThermalHeatsink with active fan
Supported FrameworksCaffe, TensorFlow, MXNet, Kaldi, ONNX
Minimum system requirementsx86_64 Computer running Ubuntu 16.04, 1GB memory, 4GB Free storage, vacant expansion slot
Software toolIntel® Distribution of OpenVINO™ toolkit R4 or above rev.

AI Development Kit

UP Squared AI Vision Development Kit

Implement and deploy computer vision solutions and support deeplearning inference across the CPU, GPU, and VPU.

This kit includes UP Squared x7-E3950 CPU 8GB RAM, 64GB eMMC, UP HD camera, and AI Core module. Besides the hardware, it comes with a complete software package including Ubuntu 16.04.4 Desktop, OpenVINO™ toolkit, Open CL/ Movidius Driver, Arduino Create and Intel System Studio.

The UP Squared AI Vision Development Kit, with its ultra-compact form factor, brings together two powerful Intel technologies: Intel Apollo Lake SoC and Intel® Movidius™ Myriad™ VPU. It is AI (Artificial Intelligence) built by IA (Intel Architecture) and comes together with a whole set of development tools.

It is a complete development kit with everything you need for AI vision development. The kit serves the purpose of bridging the gap between prototype and mass production and provides comprehensive cloud connectors such as Microsoft Azure, Amazon AWS, Google Cloud and IBM Bluemix.

Community Support

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AI-CoreX-2020

UP AI Core X Series