RidgeRun Software Developer Blog

Real-time AI at the edge is reshaping industries from medical devices to broadcast media. NVIDIA’s ecosystem—GStreamer, DeepStream, Holoscan SDK, and Holoscan for Media—offers multiple approaches to building streaming AI pipelines, each with distinct trade-offs in latency, scalability, and architecture. This deep dive clarifies how these frameworks differ and when to use each.

The NXP i.MX95 platform is designed to meet the growing demands of edge AI and modern embedded systems, combining heterogeneous processing, a dedicated Neural Processing Unit (NPU), and advanced multimedia capabilities. This article provides a decision-focused overview of its architecture, software ecosystem, and key use cases, helping technical leaders evaluate its suitability for industrial, automotive, and intelligent IoT applications.

Accelerating Deep Learning with FPGAs in a nutshell. Exploring the different architectures and implementations for low-latency inference

Select the best hardware device for AI and deep learning inference acceleration

Reduce sensor capture latency with the Low Latency Holoscan Sensor Bridge

CPU, GPU and FPGA help to perform hardware acceleration. Here, we detail some of the considerations to consider each of them

FPGAs are versatile and powerful devices and outstand the traditional processing circuits like CPUs and GPUs in latency

A research showing the process of automating action detection of an assembly sequence of a hardware part in a real production line

RidgeRun is creating a set of Python reference designs to be used as starting points for applications using deep learning in some form.

RidgeRun is thrilled to announce its new partnership with Coral from Google. Coral is a complete toolkit that allows you to build...

A media server provides multimedia all-in-one features, such as video capture, processing, streaming, recording, and, in some cases, the...

For better understanding of this latest blog from RidgeRun, please read the RidgeRun blog on Diving deep into NVIDIA Jetson TX2 - Video...