NVIDIA 🇺🇸
DoomBench currently associates 10 models and 60 evidence assessments with NVIDIA. Company attribution is separate from each model's version-specific risk score.
- Tracked models
- 10
- Evidence items
- 60
- Toward-doom share
- 3.8%
- Net index pressure
- +2.49
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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 Super VL 120B-A12B NVFP4 | Open | 15 Oct 2026 | 79.0 |
| Nemotron 3.5 Bolt 74B-A9B 24GB | Open | 15 Oct 2026 | 76.2 |
| 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 | 64.0 |
| 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
Microsoft and NVIDIA publish joint risk guidance for enterprise open-weight models
Microsoft and NVIDIA released a model-layer risk taxonomy and evaluation-mapping resource for enterprise open-weight deployments. The guidance distinguishes model risk from application permissions, tool access and surrounding controls, and explains how deployment choices redistribute safeguard responsibilities. It is guidance, not a safety certification or demonstrated reduction in incidents.
NVIDIA releases Nemotron 3.5 Super VL and a 24GB Bolt model for local agents
NVIDIA released open-weight Nemotron 3.5 Super VL and Bolt 74B-A9B 24GB. The models support multimodal agent workflows; Bolt compresses a larger model for local deployment, while Super VL supports up to one million context tokens.
Mistral releases a cyber-capable Large 4 preview ahead of planned weight release
Mistral opened the Large 4 preview API on 6 October. Its launch reports strong cyber and agentic benchmarks and gives vetted red-team partners reduced moderation and expanded cyber access. Public weights are planned for later in October, not yet verified as released. Benchmark findings do not establish a real-world breach or job displacement.
Gary Marcus questions auditor independence in the voluntary US AI accord
Gary Marcus argues that the new voluntary AI accord leaves unresolved who chooses independent auditors, how the public participates and whether labs will slow development. His first-person critique identifies oversight-design gaps; it is not evidence that an audit has failed.
AI leaders sign voluntary US accord for internal controls and external audits
AP reports that AI leaders signed a voluntary accord covering internal controls, external audits and board review of audit reports. The commitments address advanced-AI oversight, but are not legally binding. Proposed committees and oversight arrangements are not yet demonstrated operational safeguards.
NVIDIA releases OpenShell agent runtime and Sentry hardware watchdog
NVIDIA launched an agent-safety platform combining broadly available OpenShell runtime policy enforcement with a Sentry hardware watchdog reference design. The company says OpenShell traces actions and Sentry can quarantine agents crossing boundaries within milliseconds; the latter is a vendor claim, not independent proof of universal effectiveness.
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.