UP Xtreme i11 Edge Compute Enabling Kit_0001 Version Series
1. No on-board 40-pin GPIO Bus header and Intel® FPGA Altera Max V
2. No USB 4.0 Type C
3. BIOS is different from 0000 version
TSN Support
TSN Features
Support
802.1AS (Time Synchronization)
Project Based only
802.1Qav (CBS)
Y
802.1Qbv (TAS)
Y
NOTE: Please note that ADC is currently not working due to kernel regression (future kernel releases will fix the issue).
NOTE: Please note that the latest NVM for i225 IT Ethernet controller is not working in Ubuntu Linux. Please refer here for more info.
For more information, please refer to UP Xtreme i11 wiki page
Powerful
1) The latest 11th Gen Intel® Core™ processor with Intel Iris Xe graphic (code name: Tiger Lake) powers the UP Xtreme i11 Edge Compute Enabling Kit and clocks up to 4.4 GHz with only 28 watts TDP and 15 watts cTDP.
2) Intel® Iris® Xe graphics provide up to 96EU, which is nearly twice the performance of corresponding Ice Lake Gen 11 at the same TDP.
Fast & Expandable
1) 5G supported for ultra-reliable low latency communications
2) Intel® Ethernet Controller i225 runs 2.5 Gbps Speed
3) Ready to connect: Ready to connect 5G, WiFi ( WiFi 5/WiFi 6), Bluetooth
Industrial and Security
1) Supports standard industry 12V power input with a lockable power connector
2) Reduce latency and minimize jitter with Intel® Time Coordinated Computing (TCC) and time-sensitive networking (TSN) technology
3) TPM 2.0 & In-Band ECC Supported
AI Ready
1) Optimize resource allocation for AI interference at the edge via Intel® Distribution of OpenVINO™ toolkit across CPU, GPU, and VPU
2) Optional VPU by adding UP AI Core XM2280, speed up your AI development by leveraging samples and various pre-trained models that come with the kit
Production Ready Computing System
1) UP Xtreme i11 Edge Compute Enabling Kit is production-ready for multiple vertical markets for robotics, automation, retail, AI and IoT. Worldwide shipping in 7 days.
2) The kit comes with Intel® Distribution of OpenVINO™ Toolkit pre-loaded to make your AI and computer vision application faster. It is also compatible with Intel® OneAPI, which is easy to install via command line.