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TORADEX I.MX 8X-BASED SYSTEM ON MODULES GAIN AWS CERTIFICATION AND SUPPORT FOR TORIZON EMBEDDED LINUX

Summary of TORADEX I.MX 8X-BASED SYSTEM ON MODULES GAIN AWS CERTIFICATION AND SUPPORT FOR TORIZON EMBEDDED LINUX


Toradex has added Torizon support for its i.MX 8X-based System on Modules (SoMs): Colibri iMX8X (small) and Apalis iMX8X (powerful), with optional ECC memory. Colibri iMX8X is AWS-certified and listed in the AWS Device Catalog for Amazon IoT Greengrass. The SoMs feature up to four Armv8 Cortex-A35 cores, offering better performance and efficiency versus Cortex-A7/A53, Vivante GPU (OpenGL ES, OpenCL, Vulkan), advanced security/safety features, and optional dual-band 802.11ac 2×2 MU-MIMO Wi-Fi with Bluetooth 5.

Parts used in the Toradex i.MX 8X SoMs Project:

  • Colibri iMX8X System on Module (SoM)
  • Apalis iMX8X System on Module (SoM)
  • Torizon embedded Linux software platform
  • Optional ECC memory
  • Up to four 64-bit Armv8 Cortex-A35 cores
  • Vivante GPU
  • Wi-Fi and Bluetooth onboard module (optional dual-band 802.11ac 2×2 MU-MIMO Wi-Fi and Bluetooth 5)
  • AWS Device Catalog listing / AWS certification for Colibri iMX8X (Amazon IoT Greengrass)

Toradex is now bringing Torizon, its easy-to-use industrial Linux software platform, to its System on Modules (SoMs) based on the i.MX 8X applications processors from NXP®. Toradex offers the i.MX 8X-based SoMs in two form factors: the small Colibri iMX8X and the powerful Apalis iMX8X, with optional ECC memory.

TORADEX I.MX 8X-BASED SYSTEM ON MODULES GAIN AWS CERTIFICATION AND SUPPORT FOR TORIZON EMBEDDED LINUX

Toradex was among the first few partners to be part of NXP’s Early Access Program for the i.MX 8X applications processors and was shipping early samples of the Colibri iMX8X in 2018.

Additionally, the Colibri iMX8X is now AWS-certified and available in the AWS Device Catalog, based on certification requirements for Amazon IoT Greengrass. This certification is part of the AWS Device Qualification Program.

i.MX 8X-based SoMs are ideal for demanding applications requiring the highest reliability and power-efficient processing. Advanced security and safety features make these SoMs safety-certifiable. The SoMs come with up to four 64-bit Armv8 Cortex-A35 cores. Compared to the Cortex-A7, the Cortex-A35 can deliver up to 40% faster performance — and at the same clock speed — while consuming 10% less power. Compared to the Cortex-A53, it uses up to 32% less power at the same clock speed.

The Vivante GPU supports OpenGL™ ES, OpenCL™ and Vulkan® for modern graphics, or to accelerate such computing tasks as deep learning inference. The SoMs are also available with onboard Wi-Fi and Bluetooth, supporting dual-band 802.11ac 2×2 MU-MIMO Wi-Fi and Bluetooth 5.

Read more: TORADEX I.MX 8X-BASED SYSTEM ON MODULES GAIN AWS CERTIFICATION AND SUPPORT FOR TORIZON EMBEDDED LINUX

Quick Solutions to Questions related to Toradex i.MX 8X SoMs:

  • What Toradex SoMs support Torizon?
    Colibri iMX8X and Apalis iMX8X support Torizon.
  • Is the Colibri iMX8X AWS-certified?
    Yes, the Colibri iMX8X is AWS-certified and available in the AWS Device Catalog for Amazon IoT Greengrass.
  • How many CPU cores do the i.MX 8X SoMs provide?
    The SoMs come with up to four 64-bit Armv8 Cortex-A35 cores.
  • What GPU and APIs do the SoMs support?
    The Vivante GPU supports OpenGL ES, OpenCL and Vulkan.
  • Do the SoMs offer wireless connectivity?
    Yes, the SoMs are available with onboard Wi-Fi and Bluetooth, including dual-band 802.11ac 2×2 MU-MIMO Wi-Fi and Bluetooth 5.
  • Are the i.MX 8X SoMs suitable for safety-critical applications?
    Yes, they include advanced security and safety features that make them safety-certifiable.
  • How do Cortex-A35 cores compare to Cortex-A7 and Cortex-A53?
    Cortex-A35 can deliver up to 40% faster performance than Cortex-A7 while consuming 10% less power, and uses up to 32% less power than Cortex-A53 at the same clock speed.
  • Can the SoMs accelerate deep learning inference?
    Yes, the Vivante GPU can accelerate computing tasks such as deep learning inference.

About The Author

Ibrar Ayyub

I am an experienced technical writer holding a Master's degree in computer science from BZU Multan, Pakistan University. With a background spanning various industries, particularly in home automation and engineering, I have honed my skills in crafting clear and concise content. Proficient in leveraging infographics and diagrams, I strive to simplify complex concepts for readers. My strength lies in thorough research and presenting information in a structured and logical format.

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