NVIDIA 🇺🇸
DoomBench currently associates 8 models and 54 evidence assessments with NVIDIA. Company attribution is separate from each model's version-specific risk score.
- Tracked models
- 8
- Evidence items
- 54
- Toward-doom share
- 4.0%
- Net index pressure
- +2.67
0 comments · 0 votes
Sign in to join the discussion →
No comments yet. Start the discussion.
Videos about NVIDIA
Reviewed videos from Artificial Intelligence Videos. These links add context and never change a DoomBench score.
Models from NVIDIA
Availability distinguishes public artifacts, proprietary hosted access, internal systems, and profiles whose current source evidence remains inconclusive.
| Model | Availability | Released | Doom Score |
|---|---|---|---|
| Nemotron 3.5 Lightning | Open | 11 Aug 2026 | 75.9 |
| NVIDIA Nemotron 3 Nano 30B A3B | Open | 15 Dec 2025 | 72.3 |
| Isaac GR00T N1 | Open | 18 Mar 2025 | 69.4 |
| Alpamayo 1 | Open | 05 Jan 2026 | 64.1 |
| Nemotron-4 340B Instruct | Open | 14 Jun 2024 | 51.2 |
| Nemotron-4 340B Base | Open | 14 Jun 2024 | 44.1 |
| NVIDIA Megatron 530B | Closed | 09 Nov 2021 | 33.5 |
| Nemotron-4 340B Reward | Open | 14 Jun 2024 | 30.9 |
Latest assessments involving NVIDIA
NVIDIA agrees to buy Hugging Face for $12.9 billion
NVIDIA agreed to acquire Hugging Face while keeping the model-sharing platform open, multi-cloud and multi-accelerator. The deal places a distribution hub used by 18 million people and more than 200,000 companies under the leading supplier of AI computing infrastructure.
NVIDIA agent skills raise inference-deployment throughput by 15 to 77 percent
NVIDIA merged repo-native optimization skills into Dynamo after field tests in customer scenarios. In internal A/B tests, Claude Code and Codex agents using the skills achieved 15 to 77 percent higher throughput than unskilled pairs, and one agent ran an overnight optimization of a DeepSeek-V4-Pro deployment.
OpenAI secures 8 gigawatts for frontier training at PORTS-Pike
OpenAI agreed to lease about 8 gigawatts of AI data-center capacity at Ohio's PORTS-Pike campus from SB Energy. The 20-year project will use NVIDIA compute, begins with 800 megawatts expected in 2028, and is explicitly intended for frontier training, product demand, and maintaining OpenAI's competitive lead.
NVIDIA releases open Nemotron 3.5 Lightning for always-on agents
NVIDIA released Nemotron 3.5 Lightning, a 30-billion-parameter mixture-of-experts model with 3 billion active parameters, open weights, training data and recipes. The commercially usable model targets high-volume execution in long-running agents, runs on local hardware or data centers, and is distributed through open repositories, hosted APIs and cloud partners.
NVIDIA and six financial firms sign AI compute financing MOUs targeting $500 billion
NVIDIA signed memorandums of understanding with Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs, and KKR to create financing platforms intended to mobilize more than $500 billion for AI infrastructure used by frontier labs, enterprises, and AI clouds.
SSI and NVIDIA form compute partnership to scale superintelligence research
SSI and NVIDIA announced a long-term partnership involving a substantial NVIDIA investment and Vera Rubin infrastructure. SSI said the arrangement would increase its computing capacity tenfold while preserving control of its research roadmap.
Anthropic secures SpaceXAI compute and raises Claude usage limits
Anthropic agreed to use all Colossus 1 capacity, adding more than 300 megawatts and 220,000 NVIDIA GPUs within a month while doubling Claude Code limits and raising API limits.
World Labs raises $1 billion to accelerate frontier spatial intelligence
World Labs raised $1 billion from technology and institutional investors to accelerate world models and spatial intelligence for robotics and other physically grounded systems.
NVIDIA releases open Alpamayo 1 for reasoning-based autonomous driving
NVIDIA released Alpamayo 1 as an open vision-language-action model for autonomous vehicles, alongside simulation tools and datasets intended to accelerate Level 4 deployment roadmaps.
NVIDIA releases open Nemotron 3 Nano for scalable multi-agent systems
NVIDIA released a 30-billion-parameter hybrid model with 3 billion active parameters, open weights, and efficiency aimed at large multi-agent deployments.
GPT-5.2 launches for professional work and long-running agents
OpenAI released GPT-5.2 Instant, Thinking, and Pro across ChatGPT and APIs with stronger professional work, coding, long context, tool use, and multi-step agent performance.
Mistral Large 3 brings frontier-scale multimodal AI to open weights
Mistral AI released the 675-billion-parameter Mistral Large 3 base and instruction checkpoints under Apache 2.0 with API and multi-platform access.