Reference implementations :
Get access to open-source IoT reference implementations across Retail, Healthcare, Industrial, and Surveillance domains. Deploy your own IoT solutions by using these prebuilt open-source projects.
Smooth running with Priority Support :
Opt for the Product with Priority Support package for Intel® oneAPI Toolkits to get direct and private interaction with Intel’s support engineers, and an accelerated response time for technical questions and other product needs.
Launchpad for the Next Big Venture :
Inspire your innovators to start-up the next gamechanger with an environment that inspires. Some of the world’s leading companies have emerged from incubator labs, and the next one could be from yours!
Industry leading design software :
With industry leading Intel® Quartus® Prime Design Software and Intel® oneAPI Toolkits, get optimised performance from your Intel hardware.
Custom lab deployments :
While this lab is designed to cater to a broad range of development requirements, please contact our System Integrator associate if you would like to customise it further, and they would be happy to support you.
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SUGGESTED LAB CONFIGURATION
Suggested Configurations | ||
Intel Unnati AIIoT Starter Lab | ||
Item | Configuration | Quantity |
Compute Node | • Dual Intel® Xeon® Gold 5318Y, 24 cores, 2.1 GHz base frequency, 36 MB cache
• 256 GB Memory: 16 x 16GB of 2993 MHz DDR4 ECC Registered Memory • 1TB SSD |
1 |
Login + Storage Server | • Intel® Xeon® Silver 4310, 12 cores, 2.1 GHz base frequency, 18 MB cache, 128 GB RAM • At least 10 GB disk space per user (Capacity should be based on estimate of total users who would utilise this lab) |
1 |
Software #1 | • Ubuntu* 18.04
• Intel® oneAPI Base and HPC Toolkit • Intel® AI Analytics Toolkit • Horovod* + Intel® MPI (optional, for distributed DL training with TensorFlow*) • JupyterHub* and JupyterLab* • Keras*, ipykernel*, Seaborn* + other packages as required by exercises Notes: 1. Check https://software.intel.com/containers for available AI containers 2. OpenVino™ labs will be run on Intel® DevCloud for the Edge |
Free Versions/ Open Source |
+ Network Router with 4 RJ45 1Gbps Port, Power Delivery Unit (PDU), Patch Cables and Power Cable |
||
Edge Compute Kit (without VPU module) | • UP Xtreme* Edge Compute Enabling Kit with at least 16 GB RAM, 500 GB storage space | 1 |
Edge Compute Kit (with VPU module) | • UP Xtreme* Edge Compute Enabling Kit with at least 16 GB RAM, 500 GB storage space, and UP AI Core XM 2280* module | 1 |
Foundation Kits | UP Squared AI Vision X* Developer Kit (with Camera), with AI Core X Mini PCIe card with the Intel® Movidius™ Myriad™ X Vision Processing Unit (VPU) |
3 |
Robotics Developer Kit (Optional) | • UP Squared RoboMaker* Developer Kit with Intel® RealSense™ D435I camera | 1 |
Monitors | • HDMI monitors (1 per kit) | 5 |
Software #2 | • Intel® Distribution of OpenVINO™ Toolkit
• Intel® Edge Insights • Intel® Media SDK + other Development tools as needed by end users |
Free |
Intel Unnati AIIoT Research Lab | ||
Item | Configuration | Quantity |
Login Node/ Head Node | • Intel® Xeon® Silver 4310, 12 cores, 2.1 GHz base frequency, 18 MB cache, 128 GB RAM, 1 TB SSD | 1 |
Compute Nodes | Dual Intel® Xeon® Gold 6330, 28 cores, 2.0 GHz base frequency, 42 MB cache • 256 GB Memory: 16 x 16 GB of 2933 MHz DDR4 ECC Registered Memory • 1 TB SSD |
4-8 |
FPGA Inference Node (only Qualified† Servers) | • Intel® Xeon® Silver 4314, 16 cores, 2.4 GHz base frequency, 24 MB cache
• 128 GB Memory: 8 x 16 GB of 2667 MHz DDR4 ECC Registered Memory • 1TB SSD • 1-2 Intel® Programmable Acceleration Card with Intel® Arria® 10 GX FPGA† |
1 |
VPU Inference Node | • Intel® Xeon® Silver 4314, 16 cores, 2.4 GHz base frequency, 24 MB cache
• 128 GB Memory: 8 x 16 GB of 2667 MHz DDR4 ECC Registered Memory • 1TB SSD • 1-2 Intel® Vision Accelerator Design With Intel® Movidius™ Vision Processing Unit (up to 8 VPUs) |
1 |
Storage Server | • TrueNAS* 1U 120 TB or equivalent | 1 |
Ethernet Cards | • Intel® Ethernet 700 Series Network Adapters (minimum 10 GbE, recommended 25GbE) | Based on number of nodes |
Software #1 | • Intel® oneAPI Base and HPC Toolkit
Product Type: Product With Priority Support License Type: Concurrent | Use Type: Academic Nodes: Multi-Node | Support Years: 3 Years Supported: 5 Concurrent Users/Maximum 25 Developers |
1 |
Software #2 for AI | • Intel® AI Analytics Toolkit
• Horovod* + Intel® MPI (for distributed DL training with TensorFlow*) • Intel® Extension for PyTorch* (IPEX) • Intel® FPGA Add-On for oneAPI Base Toolkit (on FPGA Inference Node only) • Intel® Distribution of OpenVINO™ Toolkit (FPGA card will work with OpenVINO LTS Release only) |
Free/Open Source (Intel MPI included in HPC toolkit) |
Software #3 for AI | • Third party software for job scheduling | 1 |
Edge Compute Kits | • UP Xtreme Edge* with Intel® Core™ i3 processor with UP AI Core XM 2280* (2 VPUs)
• UP Xtreme Edge* with Intel® Core™ i5 processor with UP AI Core XM 2280* (2 VPUs) |
1 each |
Foundation Kits | • UP Squared AI Vision X* Developer Kit (with Camera), with AI Core X Mini PCIe card with the Intel® Movidius™ Myriad™ X Vision Processing Unit (VPU) | 5 |
Low Power Boards | • UP* Board with at least Intel® Atom™ x5-z8350 or newer generation processor | 5 |
Robotics Developer Kit | • UP Squared RoboMaker* Developer Kit with Intel® RealSense™ D435I camera (can be purchased separately too) | 3 |
Intel® FPGA Development Kits | • DE10-Standard Development Kit (FPGA board with Intel® Cyclone® V SoC) | 2 |
• Intel® Cyclone® 10 GX FPGA Development Kit | 1 | |
Depth Cameras | • Intel® RealSense™ LiDAR Camera L515 | 2 |
Monitors | • HDMI monitors | 1 per kit |
USB Cameras | • Third party USB Cameras | 3 |
Software #4 for IoT Development | • Intel® Distribution of OpenVINO™ Toolkit (FPGA card will work with OpenVINO LTS Release only)
• Intel® Edge Insights • Intel® Media SDK |
Free |
Software #5 for FPGA-based Development | • Intel® Quartus® Prime Pro Design Software
• Intel® FPGA SDK for OpenCL™ Software Technology • Intel® SoC FPGA Embedded Development Suite (SoC EDS) |
Free |
Software #6 for Intel RealSense | • Intel® RealSense™ SDK 2.0 | Free |