NVIDIA NVLink Fusion’s open platform enables seamless integration of custom CPUs and ASICs with the world-leading NVLink scale-up interconnect and OCP MGX rack-scale server architecture. By leveraging the NVLink Fusion technology stack and ecosystem of ASIC designers, CPU providers, and OEM/ODM partners, it increases performance, lowers development costs and reaches the market faster. Learn how Amazon Web Services (AWS) and others are integrating #NVLinkFusion to deploy specialized AI infrastructure. ➡️ https://nvda.ws/4qaq4Io
About us
The NVIDIA accelerated computing platform is optimized for energy efficiency while accelerating AI performance, helping enterprises deploy secure, future-ready AI data centers.
- Website
-
https://www.nvidia.com/en-us/data-center/
External link for NVIDIA Data Center
- Industry
- Computer Hardware Manufacturing
- Company size
- 10,001+ employees
- Headquarters
- Santa Clara, California
Updates
-
In collaboration with us, Northrop Grumman is deploying an AI factory powered by #NVIDIARTXPRO Servers, Spectrum-X Ethernet networking and government-ready NVIDIA AI Enterprise software for deploying secure enterprise AI services. The #AIfactory is enabling the development of advanced AI capabilities and boosting productivity and operational efficiency across its workforce of nearly 100,000 employees. 📹 Watch on YouTube: https://nvda.ws/3XRNGp2 🔗 Learn more about AI factories: https://nvda.ws/498x6HJ
-
The bar for AI training has just been raised again: #NVIDIABlackwell delivers up to 3.2x faster LLM training and nearly 2x performance per dollar for #AIfactories. With NVIDIA extreme codesign delivering massive performance leaps, these gains are set to enable training of next-generation AI models and enable fast and cost-efficient serving of those models, bringing more value to the AI ecosystem. Read our technical deep dive: https://nvda.ws/4q5OD9c
-
💡 Discover how leading organizations across industries have built their own #AIfactories using the #NVIDIADGX platform and how they’re unlocking the full potential of generative AI and reasoning AI to tackle complex challenges with creativity, precision, and scale. Read the ebook to learn more about AI factories in action—accelerating innovation, scaling intelligence, and helping organizations stay ahead in the AI era. ➡️ https://nvda.ws/4q9xED2
-
-
Loading #LLMs into NVIDIA GPUs on Google Cloud just got simpler. NVIDIA Run:ai Model Streamer now supports GKE with Workload Identity for Google Cloud Storage—unlocking faster and more secure AI/ML inference. Learn more below. ⬇️
⚡ Native GKE Integration is Live: Load 100 GBs of model weights from GCS in seconds ⚡ Run:ai Model Streamer now has native Google Cloud Storage support on GKE with Workload Identity - something we've been working on with the Google team for months. Why does this matter? Cold starts are brutal for LLM inference. You spin up a GPU, and it just... sits there waiting for a 70B+ model to load. That's expensive idle time and very slow autoscaling. The model streamer changes that by streaming tensors directly from object storage to GPU memory concurrently. For multi-GPU setups with model parallelism, it coordinates loading across NVLink so each process fetches its share and shares with the others. The result: loading a 141GB Llama 3.3 70B model goes from minutes to seconds with a single flag: --load-format=runai_streamer Really proud of the results that we achieved here. Huge shoutout to everyone, who made it happen - Peter Schuurman, Noa Neria, Omer Dayan, Brian Kaufman Nishtha Jain, Jason Messer, Ronen Dar (Blog and Quickstart Guide link in the comments 👇)
-
-
📣 AI infrastructure is becoming a national priority. Episode 3 of our five-part series from the #NVIDIAGTC Washington, D.C. Keynote Pregame Show dives into why AI’s growth hinges on data centers, power availability, and the industrial-scale expansion of energy systems. Hear from Olivier Blum (CEO of Schneider Electric), Giordano Albertazzi (CEO of Vertiv), Chase Lochmiller (Co-founder and CEO of Crusoe), and Krishna Jonnalagadda (CTO of GE Vernova) on how public-private collaboration and extreme co-design are reshaping America’s strategy, and what must happen next to stay ahead. 👉 Listen to the episode: https://nvda.ws/4pzRmba
-
-
💡 AI data centers are quickly evolving into #AIfactories, rendering traditional network monitoring methods ineffective. As workloads grow in complexity and infrastructure scales rapidly, real-time, high-frequency insights are essential. System monitoring is now a critical function. Discover how high-frequency streaming telemetry in NVIDIA Spectrum-X Ethernet delivers real-time visibility into AI fabrics, enabling proactive issue detection, lossless RDMA performance, and more efficient AI workloads. Learn more now. ➡️ https://nvda.ws/4iV7kdm
-
-
📣 Discover how groundbreaking architectures like NVIDIA #NVQLink are shaping the future of #quantumcomputing. Join Shane Caldwell (NVIDIA), Andre Saraiva (Diraq), and Yonatan Cohen (Quantum Machines) for a LIVE Q&A session on December 17 at 6pm CET. Register below. ⬇️
Quantum was never meant to work in isolation. #Hybrid quantum–classical computing is the future, we are shaping it today, and it's evolving at breakneck speed. New architectures like #DGX Quantum and #NVQLink are really pushing the limits of possible. At our recent Adaptive Quantum Circuits #AQC25 conference in Boston, we had a chance to sit down with the leaders in the hybrid compute field - Andre Saraiva (Diraq), Shane Caldwell (NVIDIA), and Yonatan Cohen (our CTO at Quantum Machines) to explore the future of hybrid quantum systems. That conversation was pre-recorded in advance to make it part of our monthly webinar series. And now we need you - the audience - to join us 17 𝐃𝐞𝐜𝐞𝐦𝐛𝐞𝐫 𝐚𝐭 6𝐩𝐦 𝐂𝐄𝐓 for a LIVE Q&A with the three speakers. Do join us! The talk will touch upon: 🚀 the challenges of integrating #QPUs with high-performance classical accelerators, 🚀 new workflows enabled by DGX Quantum and NVQLink, 🚀 and overall, what real progress actually looks like across the stack. Please register here to attend: https://lnkd.in/eXjCyTQX
-
-
NVIDIA Data Center reposted this
As a proud member of the Global Semiconductor Alliance, we were honored to present NVIDIA with the award for Most Respected Public Semiconductor Company (greater than $5 billion) at the annual Awards Celebration last week. The alliance brings together leaders in semiconductor innovation to collaborate, share insights, and set a vision for the future together — it’s an invaluable resource. Ankur Gupta, SVP & GM of our Digital Design Creation Platform, joined Jennifer Lloyd, CEO of Power Integrations to present the award. Please join us in congratulating Jensen Huang and team on this exciting recognition! 👏🏽 #SemiconductorIndustry #Electronics #GSA
-
-
NgKore is making AI-RAN deployments quantum safe 🔒 by accelerating post-quantum cryptography with NVIDIA #cuPQC directly on GPUs, ensuring scalable, high-performance security for the future of telecommunications. 📶 Learn more now. ⬇️
𝙈𝙖𝙠𝙞𝙣𝙜 𝘼𝙄-𝙍𝘼𝙉 𝙌𝙪𝙖𝙣𝙩𝙪𝙢 𝙎𝙖𝙛𝙚 Contributed by: Aditya Koranga, Megha . & Shubham Kumar Our latest deep-dive on securing next-generation AI-RAN deployments against future quantum threats. 𝗧𝗵𝗶𝘀 𝗯𝗹𝗼𝗴 𝗲𝘅𝗽𝗹𝗼𝗿𝗲𝘀: • With AI-RAN workloads running on GPUs, why security workloads should also move to GPUs—eliminating the need for separate cryptographic hardware • How NVIDIA #cuPQC enables GPU-accelerated post-quantum cryptography for AI-RAN • A practical demo of a Quantum-Safe MidHaul using PQC-backed DTLS • Benchmark insights on ML-KEM & ML-DSA performance If you’re working on AI-RAN, or preparing for a quantum-safe future, this is a must-read. Read the blog here: 🔗 https://lnkd.in/gb3YcU2H #PostQuantumCryptography #PQC #OpenRAN #AIRAN #6G #TelecomSecurity #NVIDIA #cuPQC #QuantumSafe #RAN #CyberSecurity #AI #AIRAN