NVIDIA AI

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NVIDIA AI

NVIDIA AI

@NVIDIAAI

The latest breakthroughs and the future of AI for business leaders.

Santa Clara, CA Katılım Haziran 2016
790 Takip Edilen267.8K Takipçiler
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NVIDIA AI
NVIDIA AI@NVIDIAAI·
Watch Jensen Huang unveil the latest breakthroughs in AI and accelerated computing, and more in the #NVIDIAGTC 2026 keynote. Now live ⬇️ youtube.com/watch?v=jw_o0x…
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NVIDIA AI Developer
NVIDIA AI Developer@NVIDIAAIDev·
🙌 Congrats @GoogleDeepMind and teams on the release of your @googlegemma 4 models!🎉 The new multimodal and multilingual models are built for fast, efficient, and secure AI across devices – and optimized to run locally on NVIDIA RTX, RTX PRO, DGX Spark, and Jetson. 👉 Prototype the 31B model and start experimenting for free on build.nvidia.com/google/gemma-4… 🔗Check out the details to get started in our Technical Blog: developer.nvidia.com/blog/bringing-…
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Google DeepMind@GoogleDeepMind

Meet Gemma 4: our new family of open models you can run on your own hardware. Built for advanced reasoning and agentic workflows, we’re releasing them under an Apache 2.0 license. Here’s what’s new 🧵

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NVIDIA AI
NVIDIA AI@NVIDIAAI·
We're joining thousands of builders at @HumanXCo next week. ⭐ Bryan Catanzaro, VP of Applied Deep Learning Research, unpacks AI as a five-layer cake on Opening Night 🤝 NVIDIA Inception Roundtable–Founder and Investor Networking 🎤 Two startup pitch competitions, in partnership with Mayfield and Google Cloud 🗺️ 40+ Inception startups exhibiting on the showfloor Check out these key sessions and highlights: nvda.ws/4143RkL
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NVIDIA Omniverse
NVIDIA Omniverse@nvidiaomniverse·
What Is computer-aided engineering? 🤔 Computer-aided engineering (CAE) is the use of software to simulate and analyze how products will perform in real-world conditions Read how this helps engineers test, optimize, and validate designs before building them. 👉 nvda.ws/4td8zbK
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LangChain
LangChain@LangChain·
Jensen Huang is coming to Interrupt. May 13-14 in SF. Join Jensen and Harrison for a fireside chat to learn where enterprise agents are headed. We'll dive into the LangChain x @nvidia partnership and how Deep Agents, NVIDIA Nemotron models, and the NVIDIA Agent Toolkit enable production-grade claws for the enterprise. Get tickets: interrupt.langchain.com
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NVIDIA AI
NVIDIA AI@NVIDIAAI·
There is plenty more to see at the Venetian Expo over the next two days. 🤩 Join us to see how NVIDIA Metropolis and Jetson continue to drive the future of intelligent, secure spaces. 5/5
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NVIDIA AI
NVIDIA AI@NVIDIAAI·
Centific’s analytics platform, running on BCD infrastructure, leverages NVIDIA AI and accelerated compute to analyze feeds in real time. This enables operators to search and act in seconds. 4/5
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NVIDIA AI
NVIDIA AI@NVIDIAAI·
Live from ISC West 2026. NVIDIA and our partners are showcasing how vision-language models (VLMs) and AI agents reimagine operations by turning video streams into real-time insights. 🧵 1/5
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NVIDIA AI Developer
NVIDIA AI Developer@NVIDIAAIDev·
🦞 Build-a-Claw is just getting started. Dive deeper with two livestreams next week: 📆 3/31, 11 AM PDT — Nemotron Labs: Build & scale your own claw with Nemotron 📹 YouTube: youtube.com/live/N2LHg2-J3… 📍 AddEvent: addevent.com/event/22mxt8mg… 📆 4/1, 11AM PDT — Build a Physical AI pipeline on DGX Spark with NemoClaw, Omniverse NuRec, and Isaac Sim 📹 YouTube: youtube.com/watch?v=CGx_CR… 📍 AddEvent: addevent.com/event/gcbntg1r… From code to real-world autonomy. . . Let's go! 🙌
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NVIDIA AI
NVIDIA AI@NVIDIAAI·
.@Cohere is defining the future of sovereign AI. Autumn Moulder, VP of Engineering at Cohere, breaks down the requirements for a full AI sovereign stack at #NVIDIAGTC: ✅ Full-Stack Sovereignty: Deploying everything from the model to applications and reasoning traces within a single data center. ✅ The Power of Openness: Why open models like NVIDIA Nemotron are critical for data lineage and navigating evolving regulations.
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NVIDIA AI
NVIDIA AI@NVIDIAAI·
Scalable AI requires more intelligence for every single watt used and every single dollar spent. On the @lexfridman podcast, NVIDIA CEO Jensen Huang explains why extreme co-design is essential for AI efficiency. Watch the full episode now: nvda.ws/4rSxgt6
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Lex Fridman
Lex Fridman@lexfridman·
Here's my conversation with Jensen Huang, CEO of NVIDIA, the most valuable & one of the most influential companies in the history of human civilization. It is the engine powering the AI revolution. This was a fascinating & inspiring conversation, in parts super-technical on engineering of every part of the AI stack, memory, power, supply chain (TSMC, ASML, etc), in parts about leadership & psychology, and in parts personal & philosophical about life, consciousness, mortality, and human nature. It's here on X in full and is up everywhere else (see comment). Timestamps: 0:00 - Introduction 0:33 - Extreme co-design and rack-scale engineering 3:18 - How Jensen runs NVIDIA 22:40 - AI scaling laws 37:40 - Biggest blockers to AI scaling laws 39:23 - Supply chain 41:18 - Memory 47:24 - Power 52:43 - Elon and Colossus 56:11 - Jensen's approach to engineering and leadership 1:01:37 - China 1:09:50 - TSMC and Taiwan 1:15:04 - NVIDIA's moat 1:20:41 - AI data centers in space 1:24:30 - Will NVIDIA be worth $10 trillion? 1:34:39 - Leadership under pressure 1:48:25 - Video games 1:55:16 - AGI timeline 1:57:29 - Future of programming 2:11:01 - Consciousness 2:17:22 - Mortality
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NVIDIA AI
NVIDIA AI@NVIDIAAI·
A new class of AI is emerging: autonomous agents that achieve complex tasks. To deploy them responsibly means building in governance from day one. NVIDIA OpenShell unifies open innovation with built-in security and privacy controls —so agents can operate more securely, predictably, and in line with policies. Learn more: nvda.ws/47bUxyI
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clem 🤗
clem 🤗@ClementDelangue·
Nvidia just crossed Google as the biggest org on @huggingface with 3,881 team members on the hub. I'm officially calling it: Nvidia is the new American king of open-source AI!
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