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[NVIDIA @nvidia]

Read more about Jaiveer and the Isaac ROS team’s work here: https://t.co/ccNW0KOvMn

[NVIDIA @nvidia]

Before a robot can change the world, it needs software that builders can trust.

NVIDIA robotics engineer Jaiveer Singh leads the team behind Isaac ROS, an open source platform helping developers build autonomous mobile robots, manipulation systems and humanoids with modular, CUDA-accelerated libraries and AI models.

“When more people can build robots,” he says, “the future gets here faster.”

[NVIDIA Omniverse @nvidiaomniverse]

Vision AI agents are becoming a practical way to automatically turn video data from the physical world into operational intelligence in factories, cities, warehouses and transportation systems.

See how Roboflow, DeepHow, and Linker Vision use NVIDIA Cosmos and NVIDIA Metropolis to generate synthetic data, fine-tune vision models faster, and deploy vision agents at scale.

📰 Read the blog: https://t.co/zWIUJeMsxd

[NVIDIA @nvidia]

See how AI is creating new opportunities to build in America: https://t.co/cvYyTzSqQn

[NVIDIA @nvidia]

America is a nation of builders.

For 250 years, America has built railroads, power grids, factories, semiconductors, and the internet.

Now, America is building again.

[NVIDIA @nvidia]

In this way, the five-layer cake of AI is enabling America to build new industries and reimagine existing ones.

It’s helping to increase productivity, add jobs, and bolster the U.S. economy.

[NVIDIA AI @NVIDIAAI]

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.

[NVIDIA GTC @NVIDIAGTC]

Get the best price for #NVIDIAGTC Berlin conference passes today:

✅ GTC alumni get the biggest savings
✅ Early bird pricing is open to everyone
✅ All discounted pricing ends July 15

🔗https://t.co/RVougTUzox

[NVIDIA @nvidia]

NVIDIA inference software keeps driving down token costs, long after AI infrastructure is deployed. ⚡

In just one month on NVIDIA Blackwell, software optimizations improved DeepSeek V4 performance by up to 5×, reducing token costs to roughly one-fifth of previous levels. NVIDIA's integrated inference software stack compounds improvements across runtimes, kernels, networking, and hardware, delivering up to 20× higher throughput on the same GPU.

Co-designed with NVIDIA GPUs, CPUs, networking, and systems, and powered by CUDA-native open source frameworks, NVIDIA's inference software stack ensures new model breakthroughs and optimizations run on NVIDIA from day zero, and keep improving throughput and lowering cost after deployment.

See how @Baseten, @Cognition, @DeepInfra, @togethercompute, and @Cursor_ai are turning continuous software innovation into lower cost per token: https://t.co/jQquhFMR2m

[NVIDIA @nvidia]

@PalantirTech Learn more: https://t.co/v4J7DmXRGu

[NVIDIA @nvidia]

We're working with @PalantirTech to bring NVIDIA Nemotron open models into secure, air-gapped environments for U.S. government agencies and critical infrastructure operators.

The new engine lets teams train on their own data, run models on their own infrastructure and retain full model ownership.

[NVIDIA @nvidia]

Learn more: https://t.co/dbzJ7cEyDp

[NVIDIA @nvidia]

The future of computer graphics is here, and it's built by AI. ✨

Don't miss the NVIDIA Research Keynote at SIGGRAPH 2026 for live demos and research examples showcasing breakthrough neural rendering, world models, and simulation methods across creative tools, industrial design, robotics, and autonomous systems.

[NVIDIA @nvidia]

@AnthropicAI @Microsoft 🔗Learn more: https://t.co/MoE325IwkA

[NVIDIA @nvidia]

📣 @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.

[NVIDIA @nvidia]

@NPS_Monterey @NPSfoundation 📺 Watch now: https://t.co/9OmJeLShfB

🔗 Learn more about the NPS and NVIDIA partnership at Converge @ NPS: https://t.co/cxeS6vgGmD

[NVIDIA @nvidia]

📣 We are collaborating with the @NPS_Monterey to empower thousands of students to work and build applications with AI.  

Hear from Todd Lyons, EVP at the @npsfoundation, on how #NVIDIADGX and NVIDIA Omniverse are helping to create synthetic data, train tailored foundational models, and deploy solutions at scale for the public sector.

[NVIDIA AI @NVIDIAAI]

.@ArtificialAnlys just dropped a brand new leaderboard called AA-Briefcase for evaluating realistic tasks in complex projects.

Nemotron 3 Ultra ranks among the top open models, with strong performance across a wide range of long-running agentic tasks, even when encountering them for the first time.

🔗 https://t.co/xtqr3Gzv5s