NVIDIA AI
@NVIDIAAI
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The latest breakthroughs and the future of AI for business leaders.
Santa Clara, CA
Joined June 2016
Watch Jensen Huang unveil the latest breakthroughs in AI, robotics, accelerated computing, and more in the #GTC25 keynote. Now live ⬇️ https://t.co/AfO8VAVdiv
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No studio? No problem. 🎬 See how @omi_3D, an #NVIDIAInception startup, helps brands create stunning, on-brand visuals in minutes, powered by NVIDIA tech. 👀 Watch CEO Hugo Borensztein explain how virtual product studios are scaling creativity → https://t.co/9gXJDWJqR0
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🎤 This isn't a typical pitch session. Investors from leading venture capital firms share their vision for the future of their industries at #NVIDIAGTC DC. 🗓️ Wednesday, October 29 | 10:00 a.m. EDT @FusionFundVC | @SignalFire | @SAICinc | Stella Capital | Accion 🔗
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🚨 New on the NVIDIA AI Podcast: 💊 Raja Shankar & Avinob Roy from @IQVIA_global dive into how agentic AI is transforming healthcare—from speeding clinical trials to delivering the right treatments to the right patients, faster. 🎧 Listen now: https://t.co/oQApq6qewP
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🎊Today is the day. NVIDIA DGX Sparks are now shipping from us and from our partners. ➡️ https://t.co/Nzmxz1lSHQ We enjoyed delivering some of our first desktop AI supercomputers to researchers, developers, universities, creators, to launch the next chapter in AI:
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Things have come a long way since the delivery of the DGX-1 9 years ago; amazing to see...
Thanks Jensen for the hand delivery of DGX Spark. Best delivery service ever. Amazing to see so much compute (1 petaflop!) in such a tiny form factor.
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🏆 We’re honored to share that VMware Private AI Foundation with NVIDIA has been named A.I. Solution of the Year at The A.I. Awards 2025! This recognition celebrates our joint innovation in helping enterprises securely build and scale AI within their private clouds.
🏆 Big news! VMware Private AI Foundation with NVIDIA won A.I. Solution of the Year at The A.I. Awards 2025! Proud to lead the way in secure, scalable #PrivateAI innovation. 🔗 https://t.co/v5MTqrb3ti
#AIAwards #CloudAwards
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NVIDIA and @NetApp are collaborating to solve the unstructured data challenge for enterprises across any industry. By integrating NVIDIA AI software into NetApp technologies, we will help simplify and accelerate the entire AI pipeline, from model training to inference.
Our landmark collaboration with @nvidia powers NetApp AFX & AIDE with NVIDIA accelerated computing and NVIDIA NIM™ microservices, for the unmatched speed, efficiency, & security your #enterpriseAI needs. Find out how we're redefining #AI infrastructure: https://t.co/UpVq3SyThP
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🚨NVIDIA and its partners will start shipping DGX Spark — the world’s smallest AI supercomputer. Early recipients are testing, validating and optimizing their tools, software and models for DGX Spark. Built on the NVIDIA Grace Blackwell architecture, DGX Spark integrates
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NVIDIA Spectrum-X Ethernet accelerates AI for hyperscalers. @Meta and @Oracle are standardizing NVIDIA Spectrum-X Ethernet for open, accelerated networking — unlocking exponential gains in AI training efficiency and deployment at scale. Read more:
nvidianews.nvidia.com
NVIDIA today announced that Meta and Oracle will boost their AI data center networks with NVIDIA Spectrum-X™ Ethernet networking switches.
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As AI moves from prototypes to production, inference efficiency becomes the ultimate driver of profitability. Open benchmarks like InferenceMax provide a shared standard to measure performance, TCO, and ROI, validating NVIDIA’s full-stack approach of co-designed hardware and
📣 NVIDIA Blackwell sets the standard for AI inference on SemiAnalysis InferenceMAX. Our most recent results on the independent benchmarks show NVIDIA’s Blackwell Platform leads AI factory ROI—— see how NVIDIA Blackwell GB200 NVL72 can yield $75 million in token revenue over
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💡Industries are scaling AI like never before. To help organizations extract maximum value, NVIDIA systems are built to deliver unmatched performance at AI factory scale. ⚙️ The latest InferenceMAX v1 benchmarks confirm: 💥 10× more performance per watt, translating to lower
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As AI moves from prototypes to production, inference efficiency becomes the ultimate driver of profitability. Open benchmarks like InferenceMax provide a shared standard to measure performance, TCO, and ROI, validating NVIDIA’s full-stack approach of co-designed hardware and
📣 NVIDIA Blackwell sets the standard for AI inference on SemiAnalysis InferenceMAX. Our most recent results on the independent benchmarks show NVIDIA’s Blackwell Platform leads AI factory ROI—— see how NVIDIA Blackwell GB200 NVL72 can yield $75 million in token revenue over
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Live race production, rearchitected. 🏁 With @Verizon Private 5G Network and Enterprise AI, powered by NVIDIA AI Enterprise + Holoscan for Media, @FanDuelTV is cutting wireless latency, simplifying setups, and scaling fast. 🔗 https://t.co/J0z0FbED3f
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📊 Data is exploding, but insights aren’t keeping pace—AI can change that. @Cytoreason is using AI-powered disease models to help pharma leaders turn complex biological data into actionable insights. On today’s episode of the NVIDIA AI Podcast, co-founder Shai Shen-Orr shares
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NVIDIA GTC Washington, D.C. is right around the corner 🌟 During this event, we will be hosting Agentic AI Day, bringing together developers, researchers, and technology leaders to learn how NVIDIA technologies are accelerating national AI priorities and powering the next
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📣 Join us at #NetAppINSIGHT to discover how to bridge enterprise data and AI at scale. Dive into our sessions on real-world use cases for #AI infrastructure, data discovery, and best practices for scalable governance. Register now to connect with experts and see what’s next.
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Leaders from @Cadence, @Synopsys, and @Siemens will discuss how accelerated computing and AI are redefining electronic design automation. Join us at GTC DC 👇
How are leading semiconductor design experts reshaping electronic design automation? 👀 Join this #NVIDIAGTC Washington, D.C. panel with @Cadence, @Synopsys, @Siemens EDA, and NVIDIA to explore how accelerated computing and AI are transforming chip design workflows. 📆 Add to
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