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NVIDIA releases Alpamayo 2 Edge open driving model and explains its onboard fit

2 articles2 sourcessince Nov 10Last article 1h ago ·

Overview

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NVIDIA releases Alpamayo 2 Edge, an open model for real-time autonomous driving, according to its X account.

The company says the model plans driving paths, such as yielding to pedestrians or making room for an oncoming bus, and explains its decisions when needed. Developers can build on it to create autonomous vehicles that adapt to their own fleets.

In a separate NVIDIA Technical Blog post, the company says autonomous vehicle reasoning models must be reduced in size, keep useful reasoning, and be validated on target hardware to run within onboard compute and latency limits. The post names Alpamayo 2 Edge as its approach to this problem.

Written by AI from the articles below · updated Nov 10, 11:59 AM ET

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Developments

2 developments

  1. Nov 10, 11:08 AM ET · 1 article
    NVIDIA releases Alpamayo 2 Edge for autonomous vehicles
    NVIDIA: NVIDIA releases Alpamayo 2 Edge, an open model for real-time autonomous driving
  2. Nov 10, 11:00 AM ET · 1 article
    NVIDIA explains onboard compute and latency constraints for AV reasoning models
    NVIDIA Technical Blog: NVIDIA explains how to fit AV reasoning models within onboard compute limits

Article timeline

The articles in this story. Times are ET.

Nov 10
  1. NVIDIAOfficial
    NVIDIA releases Alpamayo 2 Edge, an open model for real-time autonomous driving

    AINVIDIA releases Alpamayo 2 Edge, an open model that brings adaptive AI reasoning to vehicles in real time. The model plans driving paths, such as yielding to pedestrians or making room for an oncoming bus, and explains its decisions when needed. Developers can build on it to create autonomous vehicles that adapt to their own fleets.

    Video from @nvidia's post
  2. NVIDIA Technical BlogOfficial
    NVIDIA explains how to fit AV reasoning models within onboard compute limits

    AINVIDIA says autonomous vehicle reasoning models must be reduced in size, keep useful reasoning, and be validated on target hardware to run within onboard compute and latency limits. The post names NVIDIA Alpamayo 2 Edge as its approach to this problem.

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