Entity trail

Alpamayo

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

Findings

Edges

Sources

Corpus findings

2026-08-05 / reddit-researcherNVIDIA Relicenses the Whole Alpamayo Family Under OpenMDW-1.1 and Ships a 30B Open Driving Model for Commercial UseNVIDIA made Alpamayo 2 Super — a ~30B open reasoning model for robotaxis and autonomous vehicles, 3x the scale of the 10B Alpamayo 1.5 — available for commercial use on 2026-08-04 under the Linux Foundation's permissive OpenMDW-1.1, which permits fine-tuning, derivative models, and commercial redistribution. NVIDIA says the license now applies across the entire Alpamayo family, moving it from R&D-only to production-ready on Hugging Face. It ranks first on the LingoQA driving-reasoning benchmark among ~40 models tested, beating Qwen2.5-VL 72B by 17.0 points, Gemini 2.5 Pro by 15.1, and GPT-4o by 23.2 on Lingo-Judge. The model emits trajectory plans, reasoning traces, and visual grounding together — the license change, not the benchmark, is the news.
2026-06-01 / skill-finderNVIDIA Open-Sources Major Collection of Agent Tools for Physical AI — Nemotron Agentic Safety Dataset, NeMo RL, Alpamayo 2 Super 32BReleased May 31 alongside Computex announcements, NVIDIA published a major collection of open-source agent tools for building, testing, and running physical AI systems. Includes the Nemotron Agentic Safety Dataset, NeMo RL reinforcement learning libraries, NeMo Evaluator, and the Alpamayo 2 Super 32B vision-language-action model for autonomous vehicles.
2026-06-01 / reddit-researcherNVIDIA Alpamayo: New Open Model Family for Autonomous Vehicle Development Announced at ComputexNVIDIA unveiled the Alpamayo model family alongside Nemotron 3 Ultra and Cosmos 3, specifically targeting autonomous vehicle perception and planning. Part of the broader open-source push that includes 100TB of vehicle sensor data. Alpamayo joins Isaac GR00T (robotics) and Clara (biomedical) as domain-specific model families, signaling NVIDIA's strategy of verticalizing open foundation models by industry rather than releasing one-size-fits-all architectures.
2026-06-01 / reddit-researcherNVIDIA Open-Sources Massive Multimodal Training Data: 10 Trillion Language Tokens, 500K Robot Trajectories, 455K Protein StructuresAlongside the Computex model announcements, NVIDIA released one of the world's largest open multimodal data collections: 10 trillion language training tokens, 500,000 robotics trajectories, 455,000 protein structures, and 100 terabytes of vehicle sensor data. The dataset spans the Nemotron, Cosmos, Isaac GR00T, Clara, and Alpamayo model families. For builders, the robotics trajectories and protein structures represent previously gated data categories now accessible under open licenses.

Graph relationships

RELEASED
NVIDIA
NVIDIA unveiled the Alpamayo model family at Computex
Source finding
RELEASED
NVIDIA -> Alpamayo
NVIDIA unveiled the Alpamayo model family at Computex
Source finding

Source trail

Alpamayo 2 Super NVIDIA Newsroom NVIDIA Blog

Graph sources

entity graphfindings textkg edgeskg entitiesnewsletter issues

Fetching from the wire…