@NVIDIAAI profile picture
NVIDIA AI @NVIDIAAI

Teaching your AI new tricks.

Joined June 2016
  • Posts 13,149
  • Following 880
  • Followers 317,152
6,173 Photos and videos
Pinned Post
NVIDIA AI
 @NVIDIAAI
Jun 4
Today we're shipping Nemotron 3 Ultra. A 550B MoE frontier-intelligence open model built for long-running agents. It delivers 5x faster inference and lowers the cost of complex agentic tasks by up to 30% versus other open frontier models.
2:59
218
469
3,563
1,283,517
NVIDIA AI reposted
Kato Steven Mubiru
 @katomubirusteve
Jul 3
A university room. One GPU. A problem close to home. Caleb Lwanga, a @Makerere student @Crails_Inc engineer, built Crane Nemo ASR so African SMEs can one day speak to AI in the languages they actually use. Luganda. Shona. Swahili. English retained. Near-100% WER → 4.3% CER on Luganda. Built on @nvidia NeMo Nemotron ASR. @NVIDIAAI , @NVIDIAAIDev , @huggingface ,@Makerere Model Card: huggingface.co/CraneAILabs/c…
3
10
47
7,283
Spark Hack Toronto Winner Spotlight: Belong & City Flow x.com/i/broadcasts/1XxyggNbo…

This media is unavailable

NVIDIA AI

Spark Hack Toronto Winner Spotlight: Belong & City Flow
6
2
35
8,989
NVIDIA AI reposted
Bryan Catanzaro
 @ctnzr
Jul 2
Why are open technologies for AI so important? How and why is NVIDIA building Nemotron? What can we learn from China’s AI efforts? Great conversation with Matt Turck. youtu.be/Oojrfdl42LI

Inside Nemotron & NVIDIA’s AI Lab | Bryan Catanzaro

NVIDIA is a chip company. So why does it put hundreds of researcher...

youtube.com
9
22
80
18,296
NVIDIA AI reposted
Amazon Web Services
 @awscloud
Jul 1
.@OpenAI GPT OSS and @NVIDIA Nemotron 3 open-weight models are now available on Amazon Bedrock in AWS GovCloud (US), now with FedRAMP High and DoD IL-4/5 approval.
8
7
51
17,929
And you can find the paper here arxiv.org/abs/2606.26493

Nemotron-Labs-TwoTower: Diffusion Language Modeling with...

Diffusion language models offer a promising alternative to autoregressive models due to their potential for parallel and iterative generation. However, existing approaches use a single network for...

arxiv.org
3
12
148
19,087
Check it out on @huggingface👇 huggingface.co/nvidia/Nemotr…

nvidia/Nemotron-Labs-TwoTower-30B-A3B-Base-BF16 · Hugging Face

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

huggingface.co
5
27
238
28,915
We took a 30B model and split it in two to write tokens in parallel instead of one at a time. Introducing Nemotron-Labs-TwoTower: a diffusion language model from NVIDIA Research adapted from Nemotron-3-Nano-30B-A3B. Here’s how it works: one half holds the context, the other writes the tokens, with both reusing the pretrained model instead of training a new one from scratch. We found it kept 98.7% of the original model’s quality at 2.42× faster generation.
0:13
129
600
4,790
737,724
NVIDIA AI reposted
Together AI
 @togethercompute
Jul 1
Nemotron 3 Ultra is taking off on Together AI 🚀 In just days, it's climbed to 35B tokens/day on @OpenRouter. That's the community voting with their tokens for open models that are fast, efficient, and fully customizable. A top open model from @NVIDIA, fully customizable and available on Together AI.
5
16
97
13,034
x.com/i/article/207235600374…
6
24
155
15,638
If you're interested in SIGGRAPH, check out this article from our very own @liu_mingyu. Plus, learn more about papers and sessions here: nvidia.com/en-us/events/sigg… x.com/liu_mingyu/status/2072…
Ming-Yu Liu
 @liu_mingyu
Jun 30
x.com/i/article/207201866963…
2
5
42
10,014
Read the paper 👇 arxiv.org/abs/2606.29148

GPC: Large-Scale Generative Pretraining for Transferable Motor Control

Developing controllers capable of completing a wide range of tasks in a natural and life-like manner is a key challenge in enabling practical applications of physics-based character animation. In...

arxiv.org
1
8
80
7,753
Most motion papers tailor one controller to one specific task. This year at SIGGRAPH, our research team asks: can motor control itself be pretrained and reused? Generative Pretrained Controllers, or GPC, turn motor skills into a vocabulary of discrete tokens and train a transformer-based generative controller through next-token prediction. Just like GPT, the same pretrained controller can then be fine-tuned to solve new tasks. Trained on 600 hours of motion, GPC runs in real-time inside a physics simulation, producing natural and physically grounded behaviors for interactive control.
1:45
38
189
1,464
171,789
What 5,000 Kagglers Taught Us About Improving AI Reasoning | Nemotron Labs x.com/i/broadcasts/1oJMvvjzw…

This media is unavailable

NVIDIA AI

What 5,000 Kagglers Taught Us About Improving AI Reasoning | Nemotron Labs
5
9
71
7,622
What if your model handled its own tuning? ⚙️ With NVIDIA TAO 7, just prompt your coding agent what you want in plain language and let it do the rest. • Agent skills plug into your coding agent and improve accuracy. • AutoML removes the guesswork from hyperparameters. LLM-guided tuning finds strong configs up to 2x faster. • Fine-tune any @huggingface CV or VLM model on local NVIDIA GPUs. • Data enhanced fine-tuning helps your agent identify why the model fails, then fix it. Try TAO skills ➡️ nvda.ws/4bknjPs
0:12
22
50
431
39,000
Explore deep agents 👇 nvda.ws/4wfGqCn

What Is a Deep Agent? – NVIDIA Glossary

Deep agents handle complex, long-running tasks using explicit planning, persistent memory, and subagent delegation. Explore how they differ from shallow agents.

nvidia.com
1
3
13
4,810
Frontier agent performance you can customize, tune, and deploy on your terms. @langchain integrates with NVIDIA Nemotron models across agent workflows, from inference to orchestration, on an open stack built for production.
0:20
17
23
175
18,353
NVIDIA AI reposted
NVIDIA
 @nvidia
Jun 29
📣 @AnthropicAI Claude models are now generally available in @Microsoft Foundry, running on the NVIDIA GB300 NVL72 platform on Azure with NVIDIA Quantum-X800 InfiniBand networking. For enterprises building the next generation of agentic AI, this means more powerful autonomous and domain-specific agents, backed by the inference performance and lowest cost per token.
93
167
1,399
132,799
NVIDIA AI reposted
OpenRouter
 @OpenRouter
Jun 27
Four open-weight models have crossed into territory where they are powering real agentic pipelines. New post in our Insights blog about why companies are choosing them in June: openrouter.ai/blog/insights/…
45
189
1,690
179,006
NVIDIA AI reposted
Ahmad
 @TheAhmadOsman
Jun 28
MASSIVE NEWS Teamed up with NVIDIA to make Local AI The Default
1:47
164
149
2,159
454,112
Ends Tuesday. Top winners each get $ DGX Spark Stripe credits.
Nous Research
 @NousResearch
Jun 16
The Hermes Agent Accelerated Business Hackathon presented by @NVIDIAAI × @stripe × @NousResearch starts now, for builders making agents that can earn, spend, and run real operations at any scale. Our NVIDIA integrations let your team run agents safely through NemoClaw, quickly on Nemotron 3 Ultra, and intelligently with access to their extensive agent skills. The new Stripe Skills for Hermes let your agent buy what it needs, provision its own SaaS, and pay for the services it uses. We want to see what kind of business tooling you can build on top of this foundation, whether it’s a fully automated company or a framework to accelerate enterprise functions. Prizes: 1st — $10,000 cash NVIDIA DGX Spark $5,000 Stripe Credits 2nd — $5,000 cash NVIDIA DGX Spark $3,000 Stripe Credits 3rd — $2,500 cash NVIDIA DGX Spark $1,000 Stripe Credits To enter: 1) Tweet a 1-3 minute demo video tagging @NousResearch with a short writeup 2) Drop the link in the submissions channel: discord.gg/nousresearch/PFbQ… 3) Fill out the submission form: form.typeform.com/to/hpEifIK… Judged by Nous Research, NVIDIA, and Stripe on usefulness, viability, and presentation. Submissions due EOD Tuesday, June 30.
1:06
26
41
349
71,638
Load more