←Story detail

Trending story

NVIDIA launches Halos SAFE safety assessment framework at GTC Berlin

3 reports3 story updatesUpdated Oct 21 21:32

Understand this story

AI overview

On October 21, 2026, NVIDIA announced at GTC Berlin the launch of Halos SAFE, a new framework under the Halos safety system, which generates measurable, traceable autonomous driving safety evidence through simulation and real-vehicle testing. On the same day, NVIDIA also released autonomous driving development tools including Alpamayo 2 Edge, Alpamayo Agentic Factory, and a new variant of Cosmos 3 Nano. According to NVIDIA Newsroom, Bolt with Lucid, Mercedes-Benz, Volkswagen Commercial Vehicles, and Einride are demonstrating autonomous driving use cases for L3 and L4 vehicles and future robotaxi fleets on the NVIDIA Hyperion computing platform, while Volvo Cars is adopting Hyperion and NVIDIA Alpamayo Stack software. Bolt has selected Alpamayo Stack for its European robotaxi project, planning to begin collecting real-road data in Madrid in 2027, and plans to deploy at least 25,000 Hyperion-based L4 Lucid vehicles in Europe. A Unite.AI report on the same day also mentioned the Halos SAFE launch and stated that Bolt aims by 2035 to, in Europe and beyond

AI-generated from public reports

Latest development · Report

English translation is being prepared.

Developments

1 confirmed developments

  1. NVIDIA releases Halos SAFE security assessment framework

    Source:NVIDIA:Newsroom

Reports and discussion timeline

Browse reports and discussion by time. Their evidence levels remain distinct.

Oct 21

  1. unite_ai

    English translation is being prepared.

  2. ZhidongxiSelected

    NVIDIA releases DSX full-stack AI factory architecture and DSX POD container

    At the GTC conference in Berlin, NVIDIA released the DSX full-stack AI factory reference architecture and the DSX POD compute container; the latter pre-installs 7 Vera Rubin NVL72 liquid-cooled racks into a container, ready to plug and play upon arrival on site. Jensen Huang said that adopting this solution can compress the time from compute arriving on site to going into production from 4-5 months to about 1 month, while NVIDIA's press release said partners can shorten deployment time from 6 months to as short as 14 days. The conference also introduced the OpenShell secure agent reference architecture, the Nemotron Retriever retrieval model series, the Kumo structured data prediction model series, and, in collaboration with Agile, the Agile ONE SN humanoid robot reference design; the robot itself will be available in early 2027.

  3. nvidia_newsroomFirst-party

    English translation is being prepared.

Heat trend for this story

Current
5
Period peak
15 Oct 22 07:00
24-hour change
-50%

Move the pointer or select the chart to inspect hourly heat. Use the left and right arrow keys with a keyboard.

Related stories

  1. Related storiesNVIDIA expands open-source Agent Toolkit and launches Agent Knowledge Foundation
  2. Related storiesThe German federal government plans to cooperate with Nvidia
  3. Related storiesNVIDIA releases OpenShell reference architecture
  4. Related storiesNVIDIA launches DSX POD modular AI factory reference design