NXP i.MX95 Technical Guide
NXP i.MX95 Technical Guide
Yocto, multimedia, and camera development resources for the NXP i.MX95 platform.
NXP i.MX95 Technical Guide
The i.MX95 applications processor family supports a wide range of edge applications, including automotive connectivity, Industry 4.0, and IoT platforms. This family features six Arm Cortex-A55 cores, an Arm Mali GPU, a 4K VPU, an ISP, ML acceleration via an NPU, and EdgeLock secure enclave security.
RidgeRun is an official member of the NXP registered Partner Program. We created this wiki to support common customers with a single, practical source of documentation, tutorials, and implementation guidance.
This guide covers Yocto, GStreamer, VPU, eIQ Neutron and camera driver support for NXP i.MX95 (also commonly typed as “imx95”), including the Toradex Verdin i.MX95.
Use this guide to move from platform evaluation into board bring-up, Yocto image build, system setup, camera driver porting and multimedia validation on NXP i.MX95 hardware. If you need direct support on your project, contact RidgeRun through our Contact Us page.
Image extracted from NXP product page.
RidgeRun understands the value of having a single source of information that shortens time-to-market. This guide brings together hardware preparation, operating system workflows, and media acceleration references so teams can move faster from evaluation to product integration.
Here is a brief feature summary for the NXP i.MX95 platform:
- GPU: Arm Mali G310, 128 GFLOPS
- CPU: Octa-core Armv8.2 at up to 2.0 GHz
- AI Acceleration: 4x eIQ Neutron N3-1024S NPU, 2 TOP/s
- ISP Acceleration: NXP ISP with RGB-IR support
- Encoder Acceleration (H.265): VPU, up to 32 video streams or 1x 4K@60fps
- Camera Support: Up to 8 concurrent cameras, 2.5 Gbps/lane
- Security Acceleration: EdgeLock Secure Enclave and V2X cryptographic accelerator
- Sensors: 1x digital temperature sensor on EVK
- Package Options: Two SoC versions, 15 mm x 15 mm and 19 mm x 19 mm
Explore the guide
The wiki is organized around hardware bring-up, operating system workflows, and multimedia enablement. Use these entry points to jump into the largest sections of the guide.
For additional material, use the table of contents.
RidgeRun NXP i.MX95 Embedded Linux Development and Support
With over 20 years of experience in embedded Linux development, RidgeRun helps companies develop, optimize, and deploy solutions across NXP, NVIDIA, Qualcomm, and other embedded platforms. As a member of the NXP Partner Program, RidgeRun provides engineering expertise throughout the product development lifecycle, including custom board bring-up, Yocto Linux integration, device drivers, GStreamer multimedia pipelines, camera integration, and hardware-accelerated video processing.
RidgeRun also develops software products that simplify complex multimedia integration and accelerate time to market. One example is RidgeRun Video Stitcher 2.0, which builds on a previous generation deployed in 20 customer products. The latest version extends support to NXP i.MX95 using OpenGL-based GPU acceleration and RidgeRun's LibPanorama library, enabling multi-camera panoramic video stitching on embedded Linux systems.
FAQ
- Does RidgeRun offer software products for NXP i.MX95?
- Yes. RidgeRun provides embedded software solutions for NXP i.MX95, including hardware-accelerated multimedia and multi-camera video processing. Developers can explore RidgeRun's software products and request free evaluation binaries for supported products. One example is RidgeRun Video Stitcher 2.0, which builds on a previous generation deployed in 20 customer products and extends hardware-accelerated panoramic video stitching to NXP i.MX95 using OpenGL and RidgeRun's LibPanorama image transformation library.
For direct inquiries, please refer to the contact information available on our Contact page. Alternatively, you may complete and submit the form provided at the same link. We will respond to your request at our earliest opportunity.
Links to RidgeRun Resources and RidgeRun Artificial Intelligence Solutions can be found in the footer below.
ARTIFICIAL INTELLIGENCE
