Tech Updates — upcommunity

UP Pinctrl Driver With UP Squared Support Added to Linux Kernel 6.18

toniachen — Mon, 12 Jan 2026 10:21:46 +0000

Dear Community,

Good News! The UP pinctrl driver is now part of the mainline Linux kernel.
Key updates enabling UP Board FPGA support include GPIO-aggregator improvements, new MFD, LED, and pinctrl drivers—unlocking greater flexibility across use cases.

💡𝗕𝗼𝗼𝘁𝗹𝗶𝗻 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿 𝗧𝗵𝗼𝗺𝗮𝘀 𝗥𝗶𝗰𝗵𝗮𝗿𝗱 published a deeper look into the work behind it > CHECK HERE

[Tech Update] Benchmarks and AI workloads on UP Xtreme ARL AI Dev Kit [83 TOPs]

toniachen — Mon, 15 Dec 2025 10:04:43 +0000

The final AI Dev Kit review from CNX Software Limited is out!

The review Covered the benchmarks up to 83 TOPS and practical AI pipelines using Network Optix Nx Meta and the UP AI Toolkit for CV and GenAI workloads (chatbot, transcription, translation).

Check the full review : Here

[Tech Update] UPS Pro TWL AI Dev Kit [Hailo 8L:13TOPS] – Benchmarks and AI workloads on Ubuntu 24.04

toniachen — Mon, 15 Dec 2025 09:59:08 +0000

CNX Software ran benchmarks on our Intel N150 + Hailo-8L mid-level AI dev kit on Ubuntu 24.04

Compared to our entry level- UP TWL AI Dev Kit, it adds extra features like DisplayPort video output and M.2 expansion sockets.

Check the full review : Here

[Tech Update] UP TWL AI Dev Kit – Benchmarks, features testing, and AI workloads on Ubuntu 24.04

toniachen — Mon, 17 Nov 2025 15:12:33 +0000

CNX Software just released a benchmark review of the UP TWL AI Dev Kit — complete with its built-in fansink and powered by the Intel Processor N150.

Note that the UP TWL AI Dev Kit is an entry-level solution, and all AI workloads will be running on the CPU or the integrated GPU, since there’s no dedicated AI accelerator or an M.2 slot to add one on this model.

Check the full review : Here

[Tech Update] Benchmark Testing of UP 7000 and Raspberry Pi 5

FredyHsu — Tue, 13 Feb 2024 08:35:57 +0000

UP 7000 benchmark, comparison with Raspberry Pi 5
In this article we are going to provide a comparison between our new UP 7000 single board computer and the latest iteration of Raspberry Pi, the Raspberry Pi 5.
Let’s have a look at the results:

Test Systems:

UP 7000 N50 4GB RAM
UP 7000 N100 4GB RAM
RPi5 8GB RAM

The Raspberry Pi 5 is powered by a quad-core Cortex-A76 processor with up to 2.4GHz, compared to the four Cortex-A72 cores found in the Raspberry Pi 4 that only reached 1.8GHz. The integrated GPU is also much improved with now including a 800MHz VideoCore VII graphics processor over the VideoCore VI graphics with the Raspberry Pi 4.

With the Raspberry Pi 4 a moderate passive heatsink or even active cooling is recommended. But with Raspberry Pi 5 adequate cooling is crucial with the higher-clocked and faster Cortex-A76 cores. For this reason, in this comparison, we will show the performance of Raspberry Pi 5 without cooling and with the optional active cooler provided by the RPi Foundation.

The UP 7000 is a credit card-sized developer board that is powered by the latest Intel® Processor N-series platform (formerly Alder Lake-N) 1. The performance is up to 1.4x improved compared to previous Intel SoC generation in single thread.

The built-in Intel® UHD Graphics Gen12, a new generation of GPU based on Xe architecture with up to 24 Execution Units, is also a powerful AI engine and available for AI inference (with FP16 and INT8 quantization support).

UP 7000 series has a standard industrial PC operating temperature range of 0~60 C, making it flexible for any applications and it comes with a proper passive heatsink to handle properly the cooling of such powerful board. It is also designed with industrial standard 12V DC power input.

With Secure Boot support and the TPM 2.0 chip on board, UP 7000 enables better security options for any project, thanks also to the support of multiple operating systems such as Microsoft Windows 10/11 and multiple Linux Distributions like Debian and Ubuntu.

Both Single Board Computers offer a flexible 40-pin HAT GPIO can be configured also as PWM, UART, I2C, I2S, SPI.

Test Setup:

Comparison Overview and Results:

Executive Summary of Result

As results of the benchmarks, UP 7000 N100 4GB had the most wins. When compared to Raspberry Pi 5, UP 7000 offers superior performance for the most common applications and use cases, including compression tests, network/server applications, cryptography, encoding/decoding, and image processing. It also provides better results for generic CPU tests, GPU, and memory tests 2.

Although UP 7000 is priced higher than Raspberry Pi 5, it offers faster performance, integrated embedded storage with multiple options (32 GB / 64 GB / 128 GB eMMC) and security features such as secure boot and TPM2.0 onboard chip 2.

UP 7000 is a versatile and powerful embedded platform that can be used from prototype to production. It is designed to reduce the effort and risks in IoT, robotics, and AI/machine vision projects for software developers, embedded engineers, and data scientists.

Check the full benchmark report at https://openbenchmarking.org/result/2402076-NE-MERGE726852

Get UP 7000 for your project now!

Compatibility Queries - Intel Core i7 Laptops and UP Boards Integration

susanconner232 — Mon, 29 Jan 2024 10:23:18 +0000

Hello UP Community!

I hope everyone is having a smooth journey with their UP boards. I find myself in the midst of exploring the compatibility landscape, specifically concerning Intel Core i7 laptops and UP boards. If you have insights, experiences, or advice to share, your input would be highly valued.

Details of My Inquiry:

Known Compatibility Issues: Are there any known compatibility hiccups when integrating Intel Core i7 laptops with UP boards? Have users encountered specific challenges that others should be aware of?

Seamless Integration Tips: For those who have successfully integrated Intel Core i7 laptops with UP boards, what tips and tricks can you share to ensure a smooth and hassle-free experience?

Operating System Considerations: Are there any considerations related to the operating system when pairing Intel Core i7 laptops with UP boards? Any specific configurations that work best?

Peripheral Compatibility: How about compatibility with peripherals and accessories? Any known issues or recommendations for ensuring that peripherals play nicely with both the Intel Core i7 laptop and UP board?

Case Studies: If you've worked on projects involving Intel Core i7 laptops and UP boards, please share your case studies. How did you tackle any compatibility challenges you encountered?

Seeking Community Wisdom:

Your experiences and advice will not only help me but also other UP Community members looking to integrate Intel Core i7 laptops with UP boards. Let's build a knowledge base to ensure seamless compatibility and collaboration.

Thanks a bunch for your time and insights!

Compatibility Check: Intel Core i7 Laptops and UP Board – Any Issues?

emilyawalker123 — Sat, 27 Jan 2024 10:18:54 +0000

Greetings UP Community!

I hope you're all doing well. I've recently been exploring the integration of UP Board with Intel Core i7 laptops, and I'm curious to hear about any compatibility issues or success stories from the community. Let's pool our knowledge and experiences to ensure a seamless collaboration.

Here are a few questions to guide the discussion:

Compatibility Experiences: Have you successfully connected an Intel Core i7 laptop with the UP Board without any compatibility issues? If so, what steps did you follow?

Challenges Faced: Have you encountered any challenges or compatibility issues when integrating UP Board with an Intel Core i7 laptop? Whether it's related to hardware, drivers, or other aspects, please share your insights.

Solutions and Workarounds: For those who faced and resolved compatibility issues, what solutions or workarounds did you implement? Your tips could be invaluable to others facing similar challenges.

Hardware Configurations: Are there specific Intel Core i7 laptop models or UP Board versions that are known to work particularly well together?

Recommendations: Based on your experiences, do you have any recommendations or best practices for others attempting to connect Intel Core i7 laptops with UP Board?

Feel free to share your thoughts, experiences, and any tips you may have. Let's collaborate to ensure a smooth compatibility experience between Intel Core i7 laptops and UP Board.

Looking forward to hearing from the community!

Best regards,
emilyawalker123

Edge Servers and IoT Applications: Insights and Experiences from UP Community Members?

Sarajmorries — Tue, 09 Jan 2024 11:37:12 +0000

Hello UP Community Members!

The intersection of Edge Servers and IoT applications has been a game-changer, revolutionizing the landscape of technology. Let's delve into this exciting realm and gather insights and experiences from our community regarding the integration of Edge Servers in IoT applications using UP boards. How have you utilized Edge Servers for IoT projects? Share your insights and experiences!

Here are some focal points to guide our discussion:

Use Cases and Applications: What IoT applications have UP Community members developed using Edge Servers? Share specific use cases and projects you've worked on.

Benefits of Edge Servers: Insights into the advantages that Edge Servers [https://www.lenovo.com/fr/fr/c/servers-storage/servers/edge/] bring to IoT projects utilizing UP boards. How do they enhance functionality, efficiency, or performance?
Challenges Faced: Any hurdles or challenges encountered while integrating Edge Servers into IoT applications using UP boards? How were they addressed or overcome?
Performance Enhancements: Discussing the improvements in data processing, real-time analytics, or connectivity achieved by employing Edge Servers in UP-based IoT setups.
Security Considerations: Insights into the security measures adopted for Edge Server-enabled IoT projects within the UP Community. How do you ensure data integrity and privacy?
Future Potential: Predictions or expectations for the evolution of Edge Servers in IoT applications for UP boards. What future trends or advancements do you foresee?

Tips and Best Practices: Share any tips, tricks, or best practices for fellow community members looking to integrate Edge Servers into their IoT projects with UP boards.

Let's harness the collective knowledge and experiences within our community to explore the synergy between Edge Servers and IoT applications using UP boards. Your contributions and shared experiences can be invaluable for fellow developers and enthusiasts. Jump in and let's uncover the possibilities together!

Compatibility Issues: Intel Graphics Cards and UP Board - Seeking Solutions

Sarajmorries — Thu, 04 Jan 2024 10:53:14 +0000

Hello everyone,

I've recently encountered some compatibility issues between Intel graphics cards and the UP Board. It seems there might be limitations or conflicts that are causing certain functionalities or optimizations to not work as expected.

Has anyone else experienced similar problems or limitations with Intel graphics cards on the UP Board? I'm particularly curious about any specific models or configurations that might be prone to these issues.

Moreover, has anyone found any effective solutions or workarounds to mitigate these compatibility problems? I'm keen to explore potential fixes or alternative setups to ensure smoother operation between Intel graphics cards and the UP Board.

Any insights, tips, or experiences would be greatly appreciated. Let's collaborate to troubleshoot and share our knowledge to tackle these compatibility hurdles!

Looking forward to your input and suggestions.

Best regards,

UP 4000 freeze

itoile — Tue, 11 Jul 2023 08:56:58 +0000

Good morning,

Following a recent purchase of an UP4000 , programmed under linux ubuntu server makes me encounter a daily problem on the card.
My flash card.
Problem raised: my display remains blocked, a video that turns in the background this freeze, the date and time this freeze, impossible to interact on the touch and navigate etc.
I unplug it, plug it back in, and it’ll reset until the next failure.

Do you already have this problem? memory is not enough? heat problem?

My customer is really on top of my benefit and will terminate.

Can you get back to me on this quickly, please,

UP boards operating temperature range

dog_bone — Fri, 13 Jan 2023 17:05:26 +0000

Can any UP boards operate in the industrial temperature range? If so, which models?
If no to above, do any models operate within a temperature range somewhere between commercial and industrial?
Thanks

[Tech Update] AI Performance Benchmarks with Hailo-8™ AI Modules on UP

FredyHsu — Thu, 24 Mar 2022 17:34:41 +0000

AI Performance Benchmarks with Hailo-8™ AI Modules on UP
UP aims to bridge the gap for your AI needs. Leveraging a wide range of platforms based on Intel technology alongside extensive AI partners, UP offers solutions to power artificial intelligence and edge computing. We are happy to announce our next generation of AI capabilities using the Hailo-8™ M.2 AI Acceleration Module together with UP platforms. Check below for more details.

Hailo AI module
The latest Hailo-8 M.2 AI module delivers unprecedented AI performance for UP edge devices with high power efficiency Hailo-8™ AI Processor. Power your AI solutions to meet next-generation demands and step up your UP Squared Pro/ UP Squared 6000/ UP Xtreme i11 performance with best-in-class AI processor in a module. Execute in real-time and with low-power deep neural network inferencing for a broad range of market segments.

Form Factor	M.2 2280 B+M key
AI Processor	Hailo-8™ M.2 AI processor with up to 26 TOPS and best-in-class power efficiency
Dimensions	22 x 80mm via breakable extensions
Interface	PCIe Gen-3.0, 2 lanes (up to 16Gbs)
Supported Frameworks	TensorFlow and ONNX
Supported OS	Linux, Windows
Certification	CEE, FCC

See below benchmarks for details on performance and power-efficiency data of Hailo-8™ AI Processor.

Xavier NX results are using batch=8 (while Hailo-8 and Jetson Nano are using batch=1) and that Jetson Nano is limited to FP16 (while Hailo-8 and Xavier NX are INT8). NVIDIA results for batch=1 and INT8, respectively, are expected to be lower.

* MobileNet_v3 – the benchmarked model flavor is MobileNet_v3 Large Minimalistic
** Figure for processing 8 simultaneous video streams
NOTE: Check the link for the latest benchmark results from Hailo.

Supported UP Products
The Hailo-8 M.2 2280 B+M key AI Acceleration module is compatible with UP Squared Pro, UP Squared 6000, and UP Xtreme i11 which are powerful computing platforms built for industrial applications to scale the Industry Edge Solution.

UP Squared Pro features the Intel Atom® Series processors (formerly Apollo Lake), which run at speeds up to 2.5 GHz.
UP Squared 6000 comes with the latest Intel Atom® Series processors (formerly Elkhart Lake) which offer up to 1.7x better performance and twice the performance for 3D graphics compared with the previous generation UP Squared Pro (formerly Apollo Lake).
UP Xtreme i11 is powered by the latest 11th Generation Intel® Core™ Processors, which can clock up to 4.4 GHz with only 28 watts TDP and 15 watts cTDP. For the even more power-efficient performance at the edge.

UP Products	UP Squared Pro	UP Squared 6000	UP Xtreme i11
Dimension	101.6mm x 101.6mm	101.6mm x 101.6mm	120 mm x 122mm
CPU	Intel® Celeron® N3350 (up to 2.4 GHz) Intel® Pentium® N4200 (up to 2.5 GHz) Intel Atom® x7-E3950 (up to 2.0 GHz)	Intel® Celeron® N6210 (up to 2.6 GHz) Intel® Pentium® J6426 (up to 3.0 GHz) Intel Atom® x6413E (up to 3.0 GHz) Intel Atom® x6425RE (up to 1.9 GHz)	Intel® Core™ i7-1185GRE (up to 4.4 GHz) Intel® Core™ i5-1145GRE (up to 4.1 GHz) Intel® Core™ i3-1115GRE (up to 3.9 GHz) Intel® Celeron® 6305E (up to 1.8 GHz)
RAM	2GB, 4GB, 8GB LPDDR4	2GB, 4GB, 8GB LPDDR4	2x DDR4 2 channel SO-DIMM VERTICAL MAX 64GB @ 3200MT/s
Storage	eMMC 32 GB / 64 GB	eMMC 32 GB / 64 GB	via 1x SATA 3.0 connector with power connector
Expansion slot used for Hailo module	1x M.2 M key 2280 (PCIe Gen-2.0, 1 lane)	1x M.2 M key 2280 (PCIe Gen-3.0, 2 lanes)	1x M.2 M key 2280 (PCIe Gen-3.0, 2 lanes)
Supported OS	Ubuntu 20.04 host OS, Hailo software via Ubuntu container	Ubuntu 20.04 host OS, Hailo software via Ubuntu container	Ubuntu 20.04 host OS, Hailo software via Ubuntu container

This table is also available on our wiki.

Try Hailo-8™ M.2 2280 B+M key AI Acceleration Module on UP products:
- UP Squared Pro: https://up-shop.org/upsproboardswith-add-ons.html
- UP Squared 6000: https://up-shop.org/ups6000series.html
- UP Xtreme i11: https://up-shop.org/up-xtreme-i11-boards-0001-series.html
- Set up information & related documents: https://github.com/up-board/up-community/wiki/Hailo
- Getting Started Guide video: https://youtu.be/ookjOPzhIxc

Additional information on Hailo Hailo-8™ AI Acceleration Module
- Demos and White papers: https://hailo.ai/resources/
- Developer Zone: https://hailo.ai/developer-zone/

Hailo 8 Getting Started Guide on UP series

Watch our step-by-step getting started guide video now!

UP 4000 User Manual download

torbenp — Sat, 29 Oct 2022 16:33:44 +0000

The link to download the user manual does not appear to be accessible from: https://downloads.up-community.org/download/up-4000-user-manual/

Is there a fix/alternative?

UP Squared V2 40pin GPIO of and RS 232 /422 (CN 11) Pitch 1.0mm pin

pencilpen — Sat, 29 Oct 2022 00:42:29 +0000

How can I use 40pin GPIO of UP Squared V2. I cannot use "emutex/RPi.GPIO" or "marr" to write or read the GPIO.
How I can find RS 232 /422 (CN 11) Port.2*3P Pitch 1.0mm. I try to find it to use RS232 but I am not found. Please suggest.

UP 4000 Active Heatsink

JOSHUA SIRKIN — Tue, 06 Sep 2022 20:55:30 +0000

Hi, I was wondering if there are plans to release an active cooler heatsink that will fit the UP 4000?

[Tech Update] Benchmark Testing of UP 4000, UP, Raspberry Pi 4 & Jetson Nano

FredyHsu — Mon, 11 Jul 2022 08:07:55 +0000

UP 4000 benchmark, comparison with UP Board, Raspberry Pi 4 and Jetson Nano

Are you curious to know how UP 4000 performed? We have run a set of benchmarks on UP 4000, UP Board, Raspberry Pi 4, and Jetson Nano. Let’s have a look at the results:

Test Systems:

UP 4000 2GB RAM - Just released in 2022
UP Board 2GB RAM - Released in 2015
RPi4 4GB RAM - Released in 2019
Jetson Nano 4GB RAM - Released in 2019

UP 4000 vs UP Board Setup

UP 4000	UP Board
Processor: Intel Celeron N3350 @ 2.40GHz (2 Cores), Motherboard: AAEON UP-APL03 (UPAPBM06 BIOS), Chipset: Intel Celeron N3350/Pentium, Memory: 2048MB, Disk: 31GB DA4032, Graphics: Intel HD 500 APL 2 2GB (650MHz), Audio: Realtek ALC888-VD, Monitor: PHL 275E1, Network: Realtek RTL8111/8168/8411	Processor: Intel Atom x5-Z8350 @ 1.92GHz (4 Cores), Motherboard: AAEON UP-CHT01 (UPC1BM0X BIOS), Chipset: Intel Atom/Celeron/Pentium, Memory: 1536MB, Disk: 31GB M52532, Graphics: Intel HD 1GB (500MHz), Monitor: PHL 273V7, Network: Realtek RTL8111/8168/8411
OS: Ubuntu 20.04, Kernel: 5.4.0-1-generic (x86_64), Desktop: GNOME Shell 3.36.9, Display Server: X Server 1.20.13, OpenGL: 4.6 Mesa 21.2.6, Vulkan: 1.2.182, Compiler: GCC 9.4.0, File-System: ext4, Screen Resolution: 2560x1440	OS: Ubuntu 20.04, Kernel: 5.4.0-1-generic (x86_64), Desktop: GNOME Shell 3.36.9, Display Server: X Server 1.20.13, OpenGL: 4.6 Mesa 21.2.6, Vulkan: 1.2.182, Compiler: GCC 9.4.0, File-System: ext4, Screen Resolution: 1920x1080

Applications Tested:

SQLite
RAMspeed SMP
perf-bench
Go Benchmarks
Java SciMark
SciMark
X264
C-Ray
Parallel BZIP2 Compression
Node.js Octane Benchmark
LAME MP3 Encoding
GnuPG
Perl Benchmarks
System GZIP Decompression
OpenSSL
libjpeg-turbo tjbench
PyBench
PHPBench

Executive Summary of Result

UP 4000 2GB had the most wins, coming in first place for 83% of the tests. Based on the geometric mean of all complete results, the fastest (UP 4000 2GB) was 1.853x the speed of the slowest (UPboard 2GB). RPi4 4GB was 0.654x the speed of UP 4000 2GB, Jetson Nano 4GB was 0.976x the speed of RPi4 4GB, UPboard 2GB was 0.845x the speed of Jetson Nano 4GB. The results with the greatest spread from best to worst included:
✔ PHPBench (PHP Benchmark Suite) at 2.298x
✔ PyBench (Total For Average Test Times) at 2.28x
✔ SciMark (Computational Test: Composite) at 2.26x
✔ Perl Benchmarks (Test: Pod2html) at 2.106x
✔ RAMspeed SMP (Type: Copy - Benchmark: Integer) at 2.066x
✔ LAME MP3 Encoding (WAV To MP3) at 2.019x
✔ libjpeg-turbo tjbench (Test: Decompression Throughput) at 2.017x
✔ Java SciMark (Computational Test: Composite) at 1.971x
✔ System GZIP Decompression at 1.891x

Comparison Overview:

Results:

UP 4000 2GB had the most wins, coming in first place for 83% of the tests.

Comparison of UP 4000 with the UP Board system’s performance shows, superior performance for applications, Video Encoding, Compression, Decompression and for generic CPU and memory tests. Check the full benchmark report at https://openbenchmarking.org/result/2207012-UPBO-201005966

[Tech Update] Benchmark Testing of UP Xtreme i11

FredyHsu — Mon, 25 Apr 2022 08:58:19 +0000

UP Xtreme i11: CPU, GPU and AI performance overview

We have run a set of benchmarks to evaluate the different performances on CPU, GPU and AI for our UP Xtreme i11 industrial SKUs: Celeron, Core-i3, Core-i5 and Corei7.

Are you curious to know how UP Xtreme i11 performed?

Let’s have a look at the results:

Test Systems:
All Systems are based on the same configuration except the main SoC, which are:

UP Xtreme i11 Celeron
UP Xtreme i11 Core-i3
UP Xtreme i11 Core-i5
UP Xtreme i11 Core-i7

The TDP setting is set to the standard 28W (for Core-i3, Core-i5 and Core-i7) except for Celeron(15W) as Celeron SKU doesn’t have option to configure up to 28W for TDP setting.

The common hardware and software configuration is the following:

RAM: 16GB DDR4
Storage: 128GB SSD
Operating System: Ubuntu 20.04 64bit
Same version of Phoronix-Test-Suite and test version

Let’s have a look at the results…

Comparison Overview:

The UP Xtreme i11 Core-i7 is obviously the fastest, showing major performance gains, together with Core-i5, on applications optimised for multi-threaded processing and specifically:

5 times faster than Celeron on parallel compression/decompression, encoding/decoding and openSSL
2 to 3 times faster in most other applications
Up to 2 times faster on integrated GPU performance, where the difference between Core-i7 down to the Celeron is in the number Execution Units and Frequency (not Memory or architecture).
A particular mention goes to the AI Benchmarks, where the combined results of CPU+GPU and latency show an average of 2 times the performance for Core-i7 than the baseline (Celeron). While if considering only the CPU results, in particular the FPS, the performance for the Core-i7 is 5 times the Celeron.

The UP Xtreme i11 is available from our up-shop.org as board only product, enclosed system and development kit:
▶ UP Xtreme i11 board
▶ UP Xtreme i11 Edge
▶ UP Xtreme i11 Edge Compute Enabling Kit

For any question or feedback, you are welcome to participate in our community: https://www.up-community.org/, where you can find many developers using UP boards and our technical experts!

Warm regards,
UP Team

[Tech Update] Windows SDK Framework Update with Demo Apps

Pratik_Kushwaha — Fri, 18 Dec 2020 09:29:36 +0000

UP Windows SDK Framework Update with Demo apps
We have recently updated the UP Windows SDK Framework with API/EAPI support!

☞ The SDK currently enables GPI/O, I2C, SPI and PWM on the 40 pin HAT connector under Microsoft Windows for all UP Products – UP, UP Core, UP Core Plus (via Carrier Boards), UP Squared, and UP Xtreme boards.

Complete Windows setup tutorial can be found on our UP Wiki page,

Install Windows with Media creation tool
Install UP drivers
Install UP SDK Framework
Install Demo Apps

☞ UP Framework with Windows API/EAPI support V20.11.19

Download the updated UP Windows Framework setup file from here.
Download the updated UP Framework Demo App setup here.

　　Bugs Fixed:
　　　1. pin direction setting wrong in some conditions
　　　2. C# I2C SDK definition
　　　3. I2C host controller power not enabled
　　　4. I2C multiple bytes read/write issue
　　　5. SPI default pins setting issue
　　Features Added:
　　　1. Add support UPN-APL01 and UPX-ISH board
　　　2. Add SPI support
　　　　　a. 8-bit length
　　　　　b. Clock Frequency 4MHz ~ 25MHz
　　　　　c. CS0/CS1 support
　　　3. Add windows devices APIs support
　　　　　a. Windows.Devices.Gpio
　　　　　b. Windows.Devices.I2c
　　　　　c. Windows.Devices.Pwm
　　　　　d. Windows.Devices.Spi
　　　4. Change HAT pins function in OS through EAPI or Windows API

NOTE: You can also find the UP Framework Demo apps on GitHub here.

☞ Installing the Framework Demo applications

You can download the framework demo app packages here.
Steps for installation can be found here

[Tech Update] Benchmark Testing of UP Squared, Raspberry Pi 4 & Jetson Nano

Pratik_Kushwaha — Tue, 27 Oct 2020 09:52:51 +0000

UP Squared/ Raspberry Pi 4/ Jetson Nano: performance and platform comparison

We have ran a set of benchmarks to evaluate CPU and Memory performance of UP Squared, Raspberry Pi 4 and Jetson Nano.

Upcoming benchmark testing: GPU and AI. Stay tuned!

Are you curious to know how UP Squared performed? Let’s have a look at the results:

Test Systems:

UP Squared N4200 4GB RAM
Jetson Nano 4GB RAM
RPi4 4GB RAM

The test is performed by keeping the system aligned as much as possible, realizing the hardware differences and considering the following baseline:

All systems are Quad Core
Same RAM: 4GB
Same Storage amount: 32GB
Same OS type: Ubuntu 18.04 64bit
Same version of Phoronix-Test-Suite and test version

Comparison Overview:

The results with the greatest spread from best to worst included:
✔ Stream (Type: Copy) at 3.92x
✔ OpenSSL (RSA 4096-bit Performance) at 2.68x
✔ PHPBench (PHP Benchmark Suite) at 2.3x
✔ RAMspeed SMP (Type: Copy - Benchmark: Integer) at 2.25x
✔ perf-bench (Benchmark: Sched Pipe) at 2.21x
✔ Parallel BZIP2 Compression (256MB File Compression) at 2.13x
✔ Java SciMark (Computational Test: Composite) at 2.03x
✔ x264 (H.264 Video Encoding) at 1.94x
✔ PyBench (Total For Average Test Times) at 1.89x

Results:

UP Squared N4200 4GB had the most wins, coming in first place for 90% of the tests.
▶ Comparison of UP Squared with the RPi4 and Jetson system’s performance shows,

superior performance for applications written with the most used programming language, compression tests and network/server applications
improved performance in cryptography, encoding and imaging
better results for generic CPU tests and memory tests

▶ UP Squared sits on a higher price range compared to Jetson and RPi4 systems, and while it shares some of the I/O available with the other systems, such as the 40pin General Purpose Header and multiple Video Out, it offers users much more power and expandability with,

Multiple and Higher Speed USB ports: 3x USB3.0 (Type A), 1x USB 3.0 OTG (Micro -B) ), 2 x USB2.0 (internal header)
Faster Embedded Storage with multiple options: 32 GB / 64 GB / 128 GB eMMC, SATA3
Multiple Network Interfaces: 2x Gb Ethernet ports, optional WiFi/BT via M.2 2230 (including WiFi 6 modules), optional 3G/4G Connectivity via MiniPCIe
Expansion: 40 pin General Purpose bus + 4-channel 12-bit A/D converter 60 pin
AI Vision Kit: AI Core-X module (based on Intel Movidius Myriad-X) optional via MiniPCIe
Gateways: RED certification including supported Wireless interfaces (WiFi/BT, 3G/4G, LoRa)

While Raspberry Pi 4 model B and Jetson Nano Dev Kit are mainly development boards, UP Squared is an extremely versatile and powerful embedded platform for development and ready to be used in deployment. Using one platform from prototype to production is ideal for Software developers, Embedded Engineers and Data Scientists to reduce the effort and risks in their IoT, Robotics and AI/Machine Vision projects.

Intel RealSense L515 and UP Squared Board N4200 Compatibility

jauhari — Fri, 01 Jan 2021 03:09:55 +0000

I'm planning to purchase the Intel RealSense L515 for 3D scanning use case and run it using the UP Squared Board N4200/x7-E3950 8GB RAM & 128GB eMMc with Ubuntu 18.04.5. I would like to know if there are any issues the compatibility, recommendation and existing project using the same platform. Is there any benchmark on the size of storage required in relation to the size of object being scanned?

[Tech Update] Learn OPC UA Including TSN Technology - Check Tutorial Now!

Pratik_Kushwaha — Tue, 27 Oct 2020 09:10:59 +0000

Are you evaluating the platforms for your next Industrial IoT Project?
We have released a simplified tutorial to evaluate OPC UA (OPC Unified Architecture) based on the open-source implementation open62541 to take advantage of the TSN functionality available on our UP series with Intel i210 network interfaces:

- UP Core Plus with NetPlus
- UP Xtreme

It can be used as a starting point to learn/evaluate OPC UA including TSN technology and it is based on the tutorial created by Kalycito, with additionally pre-patched and configured kernel source and configuration files for our platforms.

☞ More information about the open62541 on Github
☞ Check out our documentation
☞ Check out the original tutorial from Kalycito

We can help you further with our Software Services for Customization, Integration, and Support for your Project based on UP and OPC UA together with our Software Partners.

[Tech Update] Released The Support For Yocto 2.7 On All UP Series

Pratik_Kushwaha — Tue, 27 Oct 2020 09:03:59 +0000

Are you working on a project on Yocto?
We have officially released the support for Yocto 2.7 Warrior on all UP series! Yocto Project provides the tools to develop tailored embedded Linux distributions for your project.

☞ Check the documentation
☞ Check our Github to build your Yocto image for each UP machine.
☞ See our latest Software Support Overview.

In case you are wondering, we can help you further with our Software Services for Customization, Integration, and Support for your Yocto Project based on the UP series. You can drop us an email or talk to us here!

[Tech update] Open-source application sample is available on our Github

Pratik_Kushwaha — Tue, 27 Oct 2020 08:46:33 +0000

	Want to develop your own computer vision application? No problem at all! We have released an Open Source sample application to get you started on our Github repository.This application is designed to detect the humans present at the entrance and exit of a building or area. If the people enter the marked area, it raises the alert (+1 for entry, -1 for exit) and sends through MQTT. It is intended to demonstrate how to use computer vision to monitor the number of people inside a building or area. We encourage you to try this application, as this sample application can help developers to create AI based solutions for monitoring the number of people in a building or area. Plus, it's a practical way to keep social distancing measurement for COVID-19.
	We have updated the user’s manual for UP Squared Highlight of updates: Added voltage levels information about pinout Such as, UART of CN20 connector is 3V3 TTL, and this UART also includes RTS and CTS pins to enable higher speed and flow control. UP Squared user manual: https://downloads.up-community.org/download/up-squared-user-manual/
	Tutorial: Deploy an offline, private LoRaWAN™ Network Here provides you the tutorial to set up LoRa gateway on Ubuntu 18.04. Our platforms (UP system base, UP Squared system base, can support TTN v3 Stack. And you can find all available resources on our Github and up-community! BIOS BIOS for UP system base BIOS for UP Squared LoRA Edge IP68 LoRa Packet Forwarder Driver/HAL for the concentrator

[Tech Update] Software Roadmap – see all validated software for UP

Pratik_Kushwaha — Tue, 27 Oct 2020 08:44:14 +0000

Goodies are here! We are excited to share with you all the software stacks we have validated. Check the link below to find out which UP board is the ideal one for your project and view our software support roadmap!

Software Support Roadmap can be found here!

[Tech Update] User Manual update for PoE module | UP Xtreme BIOS updated

Pratik_Kushwaha — Tue, 27 Oct 2020 08:39:01 +0000

	Are you using PoE expansion module on UP board? Power up your UP and UP Squared boards with PoE expansion via 40-pin header! We have updated our User Manual and also indicated PoE HAT block diagram, in case you encounter any issue while connecting PoE module to UP Board. It is recommended to connect a 37~65W PoE power supply to RJ45 in (LAN IN), check our wiki page for more information.
	UP Xtreme: BIOS V1.8 published (together with Debug version) We have published BIOS V1.8 and BIOS V1.8D for UP Xtreme! Other than generic fixes and updates that can be found in the History.txt file, we enabled 2 interesting features for our platform: Added SoundOpenFirmware Audio Key and Advanced Audio Mode: to be able to load custom firmware in the Audio DSP embedded on Intel® 8th Gen Core-i SoC from the SoundOpenFirmware project and providing additional audio functionalities, via Advanced Audio Mode BIOS option, on the 40-pin header like Soundwire and DMIC. For additional information please refer to: https://wiki.up-community.org/Pinout_Xtreme#Advanced_Audio_Mode Debug BIOS version enables any developer to take full advantage of Intel Debugging Tools: GDB* which is available as part of the Intel® oneAPI Base Toolkit: https://software.intel.com/get-started-with-debugging-dpcpp-linux Check BIOS update SOP and download the full packages now! UP Xtreme UEFI BIOS V1.8: https://downloads.up-community.org/download/up-xtreme-uefi-bios-v1-8/ UP Xtreme UEFI DEBUG BIOS V1.8D: https://downloads.up-community.org/download/up-xtreme-uefi-debug-bios-v1-8d/
	Working on a Windows project and looking for a driver to control GPIO pins on UP Squared? For Windows users who would like to control GPIO on UP Squared, here is how: You would need either Windows 10 (plus drivers) or Windows IoT Core image installed and then add our Windows SDK: https://downloads.up-community.org/download/up-sdk-for-windows-10-and-windows-iot/ We would also like to share with you that we are also working on a new version of SDK, which includes SPI & UART support and it is scheduled to release in Q3.
	We have updated the user’s manual for UP Xtreme and UP Xtreme Edge Compute Enabling Kit Highlight of updates: Added pinout information about Reset header (CN27) and Power Button (SW2) Ethernet controllers: UP Xtreme equipped 2 LAN allowing users to connect different devices. We use Intel i210 (TSN support) and Intel i219, in the user manual you can see which LAN port is connected to which ethernet controller! UP Xtreme user manual: https://downloads.up-community.org/download/up-xtreme-users-manual-and-datasheet/ UP Xtreme Edge Compute Enabling Kit user manual: https://downloads.up-community.org/download/up-xtreme-edge-user-manual-and-datasheet/

[Tech Update] Kernel 5.0 Ubuntu 18.04 released | Windows IoT Core BSP

Pratik_Kushwaha — Tue, 27 Oct 2020 08:35:42 +0000

	Are you working on a project on Win10 IoT Core? Then check out this Windows IoT BSP and User Guide for all UP Series! Windows IoT Board Supported Packages (BSP) is a collection of drivers/settings required to run IoT Core on a hardware platform. Building Windows IoT Core Image for UP Series Boards is easy now, we have made the step-by-step user guide, download the full package now!
	We have now officially released a validated 5.0 Kernel for all UP Series on Ubuntu 18.04! You can find the detailed documentation on our wiki pages., we also provide the instruction on whether you want to install Ubuntu kernel 5.0.0 from PPA, or install Ubuntu kernel 5.0.0 locally from debian packages. We also would like to share with you the pipeline for Ubuntu update, we will keep you updated so you can have the latest software stacks on time!
	We created a preconfigured Ubuntu 18.04 image for UP Xtreme board and UP Xtreme Edge Compute Enabling Kit available now on up-community. Thanks to this easy image download, developers can save some precious time and make more applications with UP Xtreme instead!