Draft:RidgeRun

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RidgeRun, LLC is an embedded software company founded in 2006.[1]. It maintains a business office in Bradenton, Florida, and a research and development center in San José, Costa Rica.[2]RidgeRun specializes in video processing, computer vision, Linux customization and streaming software for embedded and edge devices.

RidgeRun works with multiple system-on-chip (SoC) families through partnerships with vendors including NVIDIA, Texas Instruments (TI)[3], NXP[4], AMD/Xilinx, and Qualcomm[5] RidgeRun’s work began with TI DaVinci and OMAP processors in 2006, delivering SDKs and board support packages (BSPs) for multimedia ready SoC.[6] In 2013 it expanded to NXP’s i.MX platforms (i.MX6, i.MX8, and recently i.MX95),and over time shifted from SDK distribution to custom applications for video processing and analysis, with a focus on GStreamer, perception and computer-vision pipelines. [7][8][9]

Since 2016, RidgeRun has been an official partner in the NVIDIA Jetson ecosystem[10][11][12], supporting platforms from TK1, TX1[13], TX2 to AGX Orin and Thor. [14]Today, it builds end-to-end, edge-AI solutions optimized for heterogeneous architectures.

References

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  1. ^ "Embedded Linux specialist RidgeRun runs again". LinuxDevices. 2006-07-13. Retrieved 2025-08-28.
  2. ^ "Dispositivos de última tecnología refuerzan el trabajo en el SIP-Lab". Hoy En el TEC. 24 May 2018. Retrieved 2025-08-28.
  3. ^ "RDGRN-3P-SW-SERVICES". Texas Instruments. Retrieved 2025-08-28.
  4. ^ "RidgeRun NXP Partner Profile". NXP. Retrieved 2025-08-28.
  5. ^ "GStreamer Daemon". Qualcomm Documentation. Retrieved 2025-08-28.
  6. ^ "Cortex-A8 SoCs gain Linux GUI toolkit". LinuxDevices. 2018-10-29. Retrieved 2025-08-28.
  7. ^ "GStreamer Conference 2017 – Speaker Program". GStreamer. 2017-10-21. Retrieved 2025-08-28.
  8. ^ "GStreamer Conference 2018 Program (includes RidgeRun talk)". GStreamer. 2018. Retrieved 2025-08-28.
  9. ^ "GStreamer Conference 2023". GStreamer. 2023-09-25. Retrieved 2025-08-28.
  10. ^ "GTC 2019 Presentation: GstCUDA – Easy GStreamer and CUDA Integration" (PDF). NVIDIA GPU Technology Conference. 2019. Retrieved 2025-08-28.
  11. ^ "GTC 2020: How to Build a Multi-Camera Media Server for AI Processing on Jetson". NVIDIA Developer. 2020. Retrieved 2025-08-28.
  12. ^ "GTC Silicon Valley-2019: GstCUDA – Easy GStreamer and CUDA Integration". NVIDIA Developer. 2019. Retrieved 2025-08-28.
  13. ^ "NVIDIA Jetson TX1 Supercomputer-on-Module Drives Next Wave of Autonomous Machines". NVIDIA Developer Blog. 2015-11-11. Retrieved 2025-08-28.
  14. ^ "Building a Multi-Camera Media Server for AI Processing on the NVIDIA Jetson Platform". NVIDIA Developer Blog. 2020-05-08. Retrieved 2025-08-28.