The NVIDIA RTX platform for professional visualization drives the innovation of graphics and AI, from the desktop to the data center to the cloud.
External link for NVIDIA Workstation
NVIDIA Workstation reposted this
AI Learning, Wrapped for the Holidays 🎁 Unwrap the power of AI this holiday season. NVIDIA DGX Spark bridges education and innovation, helping students and developers build real-world skills in AI development and research—all with NVIDIA’s trusted software stack. ➡️ https://nvda.ws/44mhWvG #SparkSomethingBig ✨
Digital twins are revolutionizing AEC 🤖✨ In Dell Technologies latest Reshaping Workflows, Logan Lawler chats with NVIDIA’s Sean Young about AI in AEC—from safety-tracking agents to robot crews and more. 🎧 Tune in: https://nvda.ws/3K7nhA3
Curious how #NVIDIARTXPRO can boost your creative workflows? ☀️ Advanced Ray Tracing for stunning realism 🧠 Neural Rendering to accelerate creativity 🚀 AI performance for the future of work Explore more: https://nvda.ws/4kHsBY9
NVIDIA Workstation reposted this
Check out our interview with NVIDIA on the new DGX Spark at the Micro Center in Santa Clara. Tons of useful info and tech demos about the future of local AI compute.
NVIDIA Workstation reposted this
Industrial 3D/AR/VR/XR (75K+ Follower) for LEAN Sales & Marketing powered by Agentic AI & Metaverse || CEO ROBOTOP @FAU @FAPS || Visual Storytelling into the Future
🔐 Where does my data go with AI? How do I protect IP? Short answer: 𝐫𝐮𝐧 𝐀𝐈 & 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 𝐥𝐨𝐜𝐚𝐥𝐥𝐲 on your own machines with the right GPU. ->(brief summary, watch video)<- 𝐀𝐈 𝐚𝐠𝐞𝐧𝐭𝐬 𝐟𝐞𝐥𝐭 𝐥𝐢𝐤𝐞 𝐀𝐥𝐚𝐝𝐝𝐢𝐧’𝐬 𝐥𝐚𝐦𝐩: instant wishes, instant wins. My job as a CEO is simple—deliver results and boost efficiency. If an AI agent can do it faster, better, cheaper—that’s a real game changer (NVIDIA AI). 𝐖𝐡𝐲 𝐥𝐞𝐚𝐝𝐞𝐫𝐬 𝐜𝐚𝐫𝐞 - Keep sensitive data in-house (No internet connection required) - Faster results, lower latency (Fastest solution) - Quietness of the Workstation Edition (Office Use) But what do decision-makers need to consider when operating AI models themselves? 🧠 𝐖𝐡𝐚𝐭 𝐭𝐨 𝐰𝐚𝐭𝐜𝐡 𝐟𝐨𝐫 𝐞𝐱𝐞𝐜𝐮𝐭𝐢𝐧𝐠 𝐀𝐈 𝐦𝐨𝐝𝐞𝐥𝐬 - VRAM = brain size → plan ~+20% above model size - TFLOPS/TOPS = thinking speed - Training vs. Inference: use pre-trained open-source models - AI model Parameters ≈ expertise: bigger models → better answers → stronger hardware (GPU) 💼 𝐌𝐲 𝐞𝐱𝐞𝐜 𝐩𝐢𝐜𝐤 𝐟𝐨𝐫 𝐥𝐨𝐜𝐚𝐥 𝐀𝐈 NVIDIA RTX PRO 6000 (Blackwell) – Workstation Edition - 96 𝐆𝐁 𝐆𝐃𝐃𝐑7 (ECC) for large models & reliability - 𝐔𝐩 𝐭𝐨 4 𝐆𝐏𝐔𝐬 (MIG) → 𝐭𝐨 384 𝐆𝐁 𝐕𝐑𝐀𝐌, multi-user, secure isolation - ≈4,000 𝐓𝐎𝐏𝐒 & 1,792 𝐆𝐁/𝐬 𝐛𝐚𝐧𝐝𝐰𝐢𝐝𝐭𝐡h → faster cycles, fewer bottlenecks - 𝐂𝐔𝐃𝐀 𝐞𝐜𝐨𝐬𝐲𝐬𝐭𝐞𝐦 = compatibility, efficiency, reliability I’ll keep breaking this down for decision-makers. 𝐏𝐒: What should I cover next AI Video? Comment below? 𝐏𝐏𝐒: What do you think of the combination of the AI voice and my own voice in the video? Is the future a combination of hybrid AI-human teams?
NVIDIA Workstation reposted this
✨ From prototype to production, the new NVIDIA DGX Spark puts GB10 Superchip performance in your hands. Compact. 4 TB ready. Game-changing speed to run your LLMs locally. Available here ➡️ https://nvda.ws/4nTkRUq #SparkSomethingBig ✨
NVIDIA Workstation reposted this
The GTC Live Pregame is back — bigger than ever. From breakthrough AI startups to next-generation infrastructure, discover how AI is reshaping industries and accelerating science. Tune in ahead of Jensen Huang’s keynote live from Washington, D.C., October 28 at 8:30 a.m. ET. https://nvda.ws/43krc2Y #NVIDIAGTC
NVIDIA Workstation reposted this
And that's a wrap on another season of the PNY PRO Podcast! 🎬 A season full of ground breaking launches, expert guests, and incredible discussions! Thank you all for being apart of the journey and be sure to stay tuned for more exciting content coming your way from the PNY PRO team. Watch Here: https://bit.ly/4hcAFiy Listen Here: https://bit.ly/3LgWd1q
NVIDIA Workstation reposted this
🎊Today is the day. NVIDIA DGX Sparks are now shipping from us and from our partners. ➡️ https://nvda.ws/494LPDW We enjoyed delivering some of our first desktop AI supercomputers to researchers, developers, universities, creators, to launch the next chapter in AI: Refik Anadol — Director and Media Artist, Refik Anadol Studio Yagil Burowski — Founder and CEO, LM Studio Soumith Chintala — Head of PyTorch Meta, New York University ComfyAnonymous — Creator of ComfyUI Lev Gonick — Enterprise CIO, Arizona State University Yann LeCun — VP & Chief Scientist, FAIR, Meta, New York University Professor Joseph Mardall — Chief Hardware Officer, Zipline Jeffrey Morgan — CEO and Co-Founder of Ollama Joseph Nelson — Co-Founder and CEO of Roboflow will i am — Founder and CEO of FYI And special thanks to 🙌 Serve Robotics. Watch 👇 or on YouTube: https://lnkd.in/gYgFx32j #SparkSomethingBig ✨
NVIDIA Workstation reposted this
🎉 To celebrate DGX Spark shipping worldwide starting Wednesday, our CEO Jensen Huang just hand-delivered some of the first units to Elon Musk, chief engineer at SpaceX 🚀, today in Starbase, Texas. The exchange was a connection to the new desktop AI supercomputer’s origins -- the NVIDIA DGX-1 supercomputer -- as Musk was among the team that received the first DGX-1 from Huang in 2016. See our live blog for details, and on more early deliveries to developers, creators, researchers, universities, and more: 🔗 http://nvda.ws/4n3tafi #SparkSomethingBig ✨