The NVIDIA accelerated computing platform is optimized for energy efficiency while accelerating AI performance, helping enterprises deploy secure, future-ready AI data centers.
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Learn how Nebius is adopting NVIDIA Vera Rubin to build their full-stack platform and help customers run agentic workloads at scale. Watch now ⬇️
Nebius and NVIDIA are building gigawatt‑scale, full‑stack AI cloud and AI factories for AI‑native startups and enterprises. ▶️Hear directly from Nebius' Roman Chernin in the #NVIDIAGTC Studio episode: https://nvda.ws/42qLPtp
💡What does it take to move an AI factory from proof-of-concept to production? NVIDIA Enterprise Reference Architectures provide infrastructure guidance for on-premises deployments, defining how compute, networking, storage, software, and system components integrate into a production-ready AI platform. Read about three configurations for AI factories, built around NVIDIA RTX PRO Blackwell Server Edition GPUs, HGX systems, and GB300 NVL72. ➡️ https://nvda.ws/48vVToD
20 years of #CUDA. One incredible journey. CUDA architect Stephen Jones reflects on two decades of the software platform that powers modern AI, from writing functions to helping fuel ChatGPT. 🔗 Read the Computerworld article to learn how CUDA continues to evolve for AI, robotics, quantum computing, and beyond: https://nvda.ws/4t9hri1
📣 Nemotron 3 Nano Omni supports hardware-aware optimized inference across multiple GPU architectures, including NVIDIA Ampere, NVIDIA Hopper, and NVIDIA Blackwell GPU families, and for popular inference engines, including vLLM and NVIDIA TensorRT-LLM. Learn more ⬇️
Meet Nemotron 3 Nano Omni 👋 One open model that sees, hears, reads, and reasons. No fragmented model stacks or context lost at handoffs, just unified multimodal reasoning in a single efficient loop. 30B parameters. 256K context length. Built for subagents. 📖 Tech Blog: https://nvda.ws/4t4iaRU
Idle GPUs are costing AI factories more than you think. Join NVIDIA's Matheen Raza and DDN's Jason Brown and VirooPax Mirji on May 6 at 10am PT to learn how smarter data infrastructure keeps your GPUs working — not waiting. We'll show that by increasing GPU utilization by over 30%, organizations can get more output from existing AI infrastructure and significantly lower their cost per token. Register now ⬇️
Ready to unlock more value from your AI Infrastructure? 🔑 NVIDIA’s Matheen Raza, Principal Product Marketing Manager, joins DDN’s Jason Brown, Senior Director of Product & Solutions Marketing, and VirooPax Mirji, Principal AI Solutions Architect, for a discussion on how enterprises can identify idle GPU capacity, increase utilization by more than 30%, and lower cost per token. Attendees will learn how to: • Identify where GPU capacity is going unused and understand the financial impact • Increase GPU utilization across AI workloads and lower cost per token • Turn AI Infrastructure into a stronger-return investment 🗓️ Wednesday, May 6 🕙 10 AM PT / 1 PM ET ➡️ Register now: bit.ly/4vwEtBR
🏭 As data center infrastructure grows in complexity, it requires efficient solutions that simplify network operations. NVIDIA DSX Air gives organizations the ability to simulate their entire AI factory hardware and software infrastructure. By creating high-fidelity digital twins, DSX Air ensures maximum resource utilization and faster time to first token for agentic AI. 📹 Watch it in action: https://nvda.ws/3PbvJRr
💡 Building and scaling AI requires infrastructure that generates more revenue per watt — and drives the lowest token cost. NVIDIA Vera Rubin + LPX delivers: ✅ 35x more throughput per megawatt than NVIDIA Hopper with trillion-parameter models and more interactivity ✅ Up to a 10x annual revenue opportunity NVIDIA's Dion Harris and Stuart Pitts break down how extreme inference throughput and performance help developers and enterprises with Alex Divinsky from Ticker Symbol: YOU. ➡️ https://nvda.ws/4cCBQHx
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What a week at #GoogleCloudNext in Las Vegas ✨ From sessions to showfloor demos to networking events, we were excited to partner with Google Cloud to advance how the AI ecosystem can build, deploy, and innovate in the cloud. Looking forward to working together to advance AI agents, physical AI, and beyond. 🔗 https://nvda.ws/4cFEb4B
⚡ Matlantis and NVIDIA are accelerating the future of materials science together. The new integration of the NVIDIA ALCHEMI Toolkit into Matlantis brings industrial-scale simulation speed and efficiency—unlocking faster, more powerful R&D for next-generation materials. Learn more 👇
Matlantis is now featured in the NVIDIA ALCHEMI Toolkit launch — highlighted in the NVIDIA Technical Blog alongside leading platforms in the chemistry and materials science community. Building on our existing integration of ALCHEMI Toolkit-Ops — including GPU-accelerated neighbor list construction and DFT-D3 dispersion corrections — we've achieved up to 10x speedup in key atomistic computations. We're now exploring further integration with ALCHEMI Toolkit to enable high-throughput, parallel simulation at industrial scale. -Matlantis press release →https://lnkd.in/gdvrQGdu -NVIDIA Technical Blog → https://lnkd.in/g7VV8skk #Matlantis #NVIDIA #MaterialsScience #AtomisticSimulation
Join us for our global webinar on April 30 where NVIDIA experts will walk you through refreshed and upcoming certifications in AI infrastructure, data science, physical AI, and more. Learn exam prep strategies, walk through sample questions and answers straight from our experts in a live Q&A. Attendees will receive an exclusive 50% off exam discount code. 🔗 Register now: https://nvda.ws/41ZEQYf