- Posty @NVIDIAAIBenchling @benchlingWe teamed up with @NVIDIAAI to post-train Nemotron 3.5 Super VL on scientific protocol data. It outperformed comparable closed models in troubleshooting and optimizing lab experiments, at a remarkably low cost, representing a promising path for R&D teams to build specialized intelligence they can customize and improve over time with their own data.1194.6K
We teamed up with @NVIDIAAI to post-train Nemotron 3.5 Super VL on scientific protocol data. It outperformed comparable closed models in troubleshooting and optimizing lab experiments, at a remarkably low cost, representing a promising path for R&D teams to build specialized intelligence they can customize and improve over time with their own data.
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- Available now: NVIDIA Nemotron 3.5 Bolt E4B 4GB ⚡️ Our newest small open model is built for local assistants, interactive characters and robots that can carry on a conversation and use tools to get things done. Watch Reachy Mini chat and move, with Bolt handling conversation and NVIDIA Cosmos handling vision. Both models run locally on Jetson Orin Nano 8GB. Learn more:1472602.1K287K
- Meet NVIDIA Nemotron 3.5 Transcribe 🎙️ An open-weight, promptable 30B MoE model with ~4B active parameters that brings transcription in 40 languages, speaker attribution, translation, contextual prompting and audio understanding into one checkpoint. Watch it keep track of who said what when everyone’s talking at once. 1/ 🧵2024385.8K516K
- Posty @NVIDIAAIAs always, NVIDIA Nemotron 3.5 Bolt E4B 4GB is open and customizable. This includes weights, data and recipes. Available now on @huggingface →361068.7K
- Posty @NVIDIAAIvLLM @vllm_projectRun it today with NeMo Speech's vLLM 0.32.0 plugin, OpenAI-compatible chat completions and MTP speculative decoding. Deployment guide:10318.9K
- Posty @NVIDIAAIScale Labs @ScaleAILabsNemotron 3.5 Bolt E4B 4GB from @NVIDIAAI is the 🥇small language model on MultiChallenge, scoring 56.03% and finishing 12.8 points clear of Gemma 4 E4B (43.2%). MultiChallenge tests how well models hold up across realistic multi-turn conversations, from remembering details a user mentioned earlier to following instructions set at the start of a chat. Where Bolt E4B pulls ahead says a lot about where small models are improving. 🧵22557K
Posty @vllm_projectRun it today with NeMo Speech's vLLM 0.32.0 plugin, OpenAI-compatible chat completions and MTP speculative decoding. Deployment guide:10189.8K
Scale Labs@ScaleAILabsNemotron 3.5 Bolt E4B 4GB from @NVIDIAAI is the 🥇small language model on MultiChallenge, scoring 56.03% and finishing 12.8 points clear of Gemma 4 E4B (43.2%). MultiChallenge tests how well models hold up across realistic multi-turn conversations, from remembering details a user mentioned earlier to following instructions set at the start of a chat. Where Bolt E4B pulls ahead says a lot about where small models are improving. 🧵443512.4K- Posty @NVIDIAAISGLang @sgl_projectNemotron 3.5 Transcribe runs on SGLang-Omni from day 0 🎙️ 30B MoE, ~4B active, 40-language transcription served through /v1/audio/transcriptions endpoint, with streaming and custom prompts. Serve it today:01257.3K
- NVIDIA AIRT @NVIDIAAIInfra: Congrats @MiniMax_AI on dropping MiniMax M3.1 Flash 428B, built for everyday coding and agents. 🙌 In the first-ever Day 0 support, NVIDIA Vera Rubin delivers excellent out-of-the-box performance: ✔️ High throughput of up to 200K TPS/GPU ✔️ Fast interactivity with more than 700 TPS/user Download the NVFP4 checkpoints from @huggingface: or try it instantly:MiniMax (official) @MiniMax_AIMiniMax M3.1 Flash weights are now public. 428B parameters total, 23B activated per token. Agentic performance: A generational leap in agentic tasks, coding, and cybersecurity — 76.2 on BankerToolBench, 73.7% on DeepSWE v1.1, 61.7 on OSWorld V2, 29.6 on Agents' Last Exam, and 82.2 on CyberGym. Efficient by design: MiniMax Sparse Attention and DSpark speculative decoding improve inference efficiency. Hugging Face: ModelScope: API: M Plan: MCode for desktop:02202K
Nemotron 3.5 Transcribe runs on SGLang-Omni from day 0 🎙️ 30B MoE, ~4B active, 40-language transcription served through /v1/audio/transcriptions endpoint, with streaming and custom prompts. Serve it today:
NVIDIA AI @NVIDIAAIMeet NVIDIA Nemotron 3.5 Transcribe 🎙️ An open-weight, promptable 30B MoE model with ~4B active parameters that brings transcription in 40 languages, speaker attribution, translation, contextual prompting and audio understanding into one checkpoint. Watch it keep track of who said what when everyone’s talking at once. 1/ 🧵05328.8K
MiniMax (official)@MiniMax_AIMiniMax M3.1 Flash weights are now public. 428B parameters total, 23B activated per token. Agentic performance: A generational leap in agentic tasks, coding, and cybersecurity — 76.2 on BankerToolBench, 73.7% on DeepSWE v1.1, 61.7 on OSWorld V2, 29.6 on Agents' Last Exam, and 82.2 on CyberGym. Efficient by design: MiniMax Sparse Attention and DSpark speculative decoding improve inference efficiency. Hugging Face: ModelScope: API: M Plan: MCode for desktop:1752653.9K417K- Serving World Models: Latency vs Throughput with NVIDIA Cosmos 3 Super on Nebius | Cosmos Labs109547.3K
- How do you assess cyclone risk beyond what a few decades of historical data can reveal? @AXA researchers are using NVIDIA Earth-2 to help fill that gap. Using FourCastNet 3, one of Earth-2’s open, global weather forecasting models, the team generated more than 1,000 simulated cyclone seasons to study possible storm activity around the globe. These simulations help researchers understand where cyclones travel, how often they occur, and how storms affect multiple regions within the same season. Those insights can inform AXA’s risk assessments and help customers target prevention efforts. Learn how AXA and other organizations are applying Earth-2 to weather forecasting, risk assessment, and environmental modeling:211515112.4K
- Build AI agents that speak the language and understand the local context. Here's 5 steps to learn how to post-train NVIDIA Nemotron with synthetic data and LoRA to adapt its responses for regional terminology, policies and tone. Follow the step-by-step tech blog:202819118.9K
- Posty @NVIDIAAIJackson Stokes @jackson_stokesWe partnered with @nvidia, @nollahealth, and @nebiusai to post train Nemotron 3.5 VL Super far past the frontier on dermatology diagnosis. The model set new standards in our internal measures of trainability, and with Nolla it's powering the future of AI in medical care.13145.2K
- NVIDIA AIRT @nvidianewsroom: NVIDIA and @Meta will expand our partnership on @Muse models to improve inference and training performance. Together, we’re exploring NVIDIA OpenShell for safe AI agent deployment and NVIDIA Sentry for monitoring agent behavior. Meta plans broader deployments of NVIDIA Vera Rubin and Vera CPUs. Read the press release:024002.1K
We partnered with @nvidia, @nollahealth, and @nebiusai to post train Nemotron 3.5 VL Super far past the frontier on dermatology diagnosis. The model set new standards in our internal measures of trainability, and with Nolla it's powering the future of AI in medical care.
35487.9K- NVIDIA AIRT @JensenHuang: I was the opening act for a family of ducks. Thank you, Berlin. What a GTC. Europe is building its AI ecosystem and economy, from AI factories to agents to robots. DSX POD: Vera Rubin modular factories built, cabled and tested in the factory, then delivered ready to produce intelligence. Agents: models, harnesses, sandboxes, knowledge and tools. NVIDIA Agent Toolkit brings the pieces together so companies control what their agents know, access and do. NVIDIA OpenShell enhances safety. Physical AI: new customers across AI-RAN, robotaxis and robotics. Personal AI: after four years building with Microsoft, RTX Spark brings personal agents to the Windows PC. Thank you to President @EmmanuelMacron, Prime Minister @andyburnham and Chancellor @bundeskanzler for hosting me. Great to celebrate Sferical One with Sweden’s technology leaders. And thank you to President @TokayevKZ for the warm welcome. And to our partners and NVIDIA teams: thank you for making it happen. The keynote is here:Pollen Robotics @pollenroboticsMicroducks on stage for Jensen Huang’s famous keynote! We couldn’t be prouder of our little ones. 🥹059601.6K
Microducks on stage for Jensen Huang’s famous keynote! We couldn’t be prouder of our little ones. 🥹1122582.6K588K- NVIDIA AIRT @nvidia: Europe is building its AI future, and we’re all in. From AI factories and AI agents to robotics and healthcare, Jensen took the stage at #NVIDIAGTC Berlin to show how AI is taking shape across the continent. Here's a look back at the highlights:010601.5K
- GTC Berlin After Hours: Keynote Reactions & What’s Next for Developers448512.3K
- Jensen's a black belt now. 🥋NVIDIA Newsroom @nvidianewsroomThe black leather jacket wasn't the final form. 🥋 @JensenHuang was awarded an honorary black belt by the International @Judo Federation, recognizing his leadership and the shared values of judo and innovation: perseverance, respect, and continuous improvement.252641924.9K
The black leather jacket wasn't the final form. 🥋 @JensenHuang was awarded an honorary black belt by the International @Judo Federation, recognizing his leadership and the shared values of judo and innovation: perseverance, respect, and continuous improvement.
183638247.8K- From autonomous vehicles to smarter factories, companies are putting physical AI to work. We’ve added new NVIDIA Cosmos tools to help developers generate training data, train world models and test them before deployment. See how @Porsche, @MercedesBenz, @encord_team, @Siemens, @fogsphere, and @ltx_io are using Cosmos across robotics, autonomous driving and factory operations 👇242818318.4K
- Posty @NVIDIAAICatch up on the latest from GTC Berlin: See what's new with NVIDIA Cosmos, including work from @ADNOCGroup, @microagi, @roboflow, and @ultralytics → And the latest industrial AI announcements →22165.3K
- NVIDIA AIRT @NVIDIAGTC: That's a wrap on the #NVIDIAGTC Berlin keynote. 💚 ICYMI, watch the replay:01402.2K
- Europe’s industrial future is taking shape at GTC Berlin. With our CUDA-X and Omniverse libraries, plus Cosmos and Nemotron open models and tools, Europe’s industrial leaders are testing designs faster, simulating robots and improving factory operations. Learn how Agile Robots, @Audi, @Dassault3DS, Schaeffler and @Siemens are putting these technologies to work:233627117.3K
- Posty @NVIDIAAIThe innovation extends across Europe’s industrial ecosystem. @autodesk, @AVEVAGroup, @Cadence, Falkor, @MercedesBenz and @Synopsys are also putting our technology to work, from faster design simulations to vehicle inspection and AI factory digital twins. Read their stories in the blog above. 👆02225K
