--- format: "aidr-story-markdown/v1" id: "c6f8f20bbe8e275a9b37303cc24524d2fb688feb319e6567d67391263af89ed3" canonical_url: "https://aidr.today/c6f8f20b?lang=en" title: "Nvidia Releases Open 2B Parameter Alpamayo 2 Edge Model for Self-Driving Cars" lang: "en" requested_lang: "en" available_langs: ["en","vi"] translation_fallback: null fallback_fields: [] published_at: "2026-11-10T16:52:15.000Z" category: "Open Source" topics: ["nvidia","reasoning","open-source"] source_urls: ["https://huggingnews.com/ai/nvidia-releases-open-2b-parameter-alpamayo-2-edge-model-for-self-driving-38efa02d","https://marketbrief.now/ai/nvidia-releases-open-2b-parameter-alpamayo-2-edge-model-for-self-driving-38efa02d"] summary: "Nvidia released the open 2B parameter Alpamayo 2 Edge model for self-driving cars. This model runs on Nvidia's DRIVE AGX Thor platform and uses six camera feeds, vehicle motion history, and navigation data to predict driving scenarios 6.4 seconds into the future. It operates at a frequency of 10Hz." --- # Nvidia Releases Open 2B Parameter Alpamayo 2 Edge Model for Self\-Driving Cars > [Open the canonical story]() **Published:** 2026-11-10T16:52:15.000Z **Category:** Open Source **Topics:** nvidia, reasoning, open\-source ## Summary Nvidia released the open 2B parameter Alpamayo 2 Edge model for self\-driving cars\. This model runs on Nvidia's DRIVE AGX Thor platform and uses six camera feeds, vehicle motion history, and navigation data to predict driving scenarios 6\.4 seconds into the future\. It operates at a frequency of 10Hz\. ## Sources - [Story source]() - [Story source]()