What does it take to bring open models into the enterprise? On the NVIDIA AI Podcast, Mistral CTO and co-founder Timothée Lacroix joins to discuss @MistralAI’s open-model philosophy, its Forge customization framework, and its collaboration with NVIDIA through the Nemotron Coalition. 🎧 Listen now: nvda.ws/4v2yUun

At #WWDC26, NVIDIA Confidential Computing on @GoogleCloud is enabling Apple to extend their groundbreaking Private Cloud Compute service to third-party data centers for the first time. NVIDIA is collaborating with Apple and Google to power Apple Intelligence workloads built with Google Gemini on NVIDIA Blackwell GPUs. nvda.ws/3SidOtu

Build on-device personal AI agents on Windows PCs with new tools from NVIDIA and Microsoft, including secure sandboxing, faster local inference, multi-GPU support, and RTX acceleration for Windows AI APIs. Read the technical blog: nvda.ws/4v6D98q

The open vs. closed AI debate has a new answer: Both. Our CEO Jensen Huang said it at #NVIDIAGTC: "Proprietary versus open is not a thing. It's proprietary AND open." Enterprise AI isn't one monolithic model — it's an orchestrated system tuned for your data, your workflows, your industry. 🏥 Healthcare. 💰 Finance. 🏭 Manufacturing. Every vertical needs AI built for its problems. The Nemotron Coalition was built for this — a global collaboration of AI labs advancing open frontier models, with 45M Hugging Face downloads and growing. The real question for CxOs and tech leaders: do you have the agentic AI stack to orchestrate both? nvda.ws/43tkkQw

Proud to collaborate on the next frontier of private AI. 🔒 Apple is expanding Private Cloud Compute to @GoogleCloud using NVIDIA GPUs. nvda.ws/4ewJl3q

We post-trained Ultra for popular agent harnesses like @OpenClaw, @NousResearch Hermes Agent, and @LangChain. The result is an open frontier model developers can customize for specialized agents across domains. Read more: nvda.ws/4oAeqqJ

📢 Calling all AI startups across APAC. Applications are now open for the Inception Grand Challenge 2026 — a regional initiative designed to help startups accelerate enterprise adoption and real-world AI deployment. The challenge connects startups with: ✅ Enterprise problem statements ✅ Technical guidance and ecosystem support ✅ Pilot discussions and industry collaboration ✅ Regional showcase and visibility opportunities 📅 Online Opening Webinar | June 24: nvda.ws/3PVfV5U 💡 Join the Inception Grand Challenge: nvda.ws/4e0n267 Apply by June 30. #NVIDIAInception

🌍 Got a Sovereign AI project you're ready to accelerate? Bring it to the Sovereign AI Codefest, running July 3–31, 2026. Over four weeks, selected teams will work side-by-side with experts from NVIDIA and Bitdeer AI to optimize models, tackle technical challenges, and advance the development roadmap of Sovereign AI applications built around local languages, local contexts, and regional data. Participants will also receive access to Bitdeer AI Cloud powered by NVIDIA H200 Tensor Core GPUs, enabling faster experimentation, training, and deployment. Whether you're building AI agents, copilots, local language applications, or domain-specific AI solutions, this is your opportunity to move from development to impact with expert guidance and world-class AI infrastructure. Apply by June 19: nvda.ws/49JTnvE #SovereignAI #AIHackathon #GenerativeAI #NVIDIA #OpenHackathon

✨ The energy at #NVIDIAGTC Taipei at #COMPUTEX2026 was incredible. The show was packed with the community and ecosystem partners that make this all possible. Loved seeing all the accelerated computing technologies on the showroom floor! Thank you to all the attendees, sponsors, and partners. We'll see you next time. ✌️

Local AI Agents are leveling up across DGX Spark & RTX PCs. NVIDIA OpenShell is coming to Windows alongside new agentic AI optimizations and creator app updates—including NVIDIA Broadcast 2.2, plus upcoming RTX acceleration for Adobe apps and Blender. Learn More: nvda.ws/4ujS5Pi

📣 LG Group and NVIDIA are building an AI factory based on the NVIDIA DSX platform. The AI factory will provide LG Group with accelerated computing infrastructure to train, simulate, validate and deploy AI-based applications across robotics, autonomous driving, data center technologies and GPU cloud services. Learn more about the collaboration: nvda.ws/49LvC6k

📣 NVIDIA and Doosan Group are expanding their collaboration across physical AI, robotics and AI factory infrastructure. Doosan Group's businesses span several layers of the AI factory ecosystem, including intelligent robotics systems, power generation and advanced electronics materials, and are now exploring NVIDIA's physical AI stack, DSX, MGX and accelerated computing platforms across these areas. Learn more about the collaboration ➡️ nvda.ws/4ogPNiD

AI is changing how vehicles, factories, and robots are built. Jensen met with @HMGnewsroom leadership to discuss NVIDIA and HMG’s work across mobility and physical AI.

The next generation of AI builders brought the energy. 🦞 Jensen stopped by @SeoulNatlUni for a Build-a-Claw pop-up, packed with students, developers, and AI researchers building intelligent agents from the ground up.

Robot development doesn’t stop at one training loop. 🔁 It’s a continuous cycle of collecting data, refining it, training policies, testing, and repeating. Discover how we’re helping developers accelerate this cycle with new updates across NVIDIA Isaac technologies including Isaac GR00T, an open, end-to-end development platform for humanoid robots built on NVIDIA Jetson Thor. 🤖 Read the blog: nvda.ws/4veXGI5 #NVIDIAGTC

📣 Korea's telecom network is becoming national AI infrastructure. @SKtelecom plans to build a gigawatt-scale AI Cloud in Korea, powered by the NVIDIA DSX platform. 🇰🇷 The first AI factory comes online in 2027 to support sovereign, physical and agentic AI services for enterprises and industries across Korea — with plans to expand across Asia. 🔗 Read the announcement: nvda.ws/4uhZ0bB

📣 Useful AI has arrived — and NAVER is building the infrastructure to meet it at scale. @official_naver will expand its GAK Sejong data center using the NVIDIA DSX platform, starting at 55 megawatts with plans to reach gigawatt scale, powering sovereign and physical AI models, agents and enterprise workloads across Korea and beyond. 🔗 Learn more: nvda.ws/4xjEla4

📣 @SKhynix and @NVIDIA announce a multiyear technology partnership to codevelop next-generation memory for the global AI factory buildout. SK hynix will codevelop memory for NVIDIA's platforms — from NVIDIA Vera Rubin to Jetson Thor — while advancing fab digital twins using @NVIDIAOmniverse libraries and applying NVIDIA CUDA-X and PhysicsNeMo to accelerate semiconductor design and manufacturing. Read the press release: nvda.ws/4e43e0p