NVIDIA Networking’s cover photo
NVIDIA Networking

NVIDIA Networking

Computer Networking Products

Santa Clara, California 59,530 followers

Accelerated Networks for Modern Workloads

About us

Data center networking is essential in confronting the challenges of modern-day computing. NVIDIA networking delivers accelerated software-defined networking, storage, security, and management services that are turning the data center into one compute unit.

Website
https://www.nvidia.com/en-us/networking/
Industry
Computer Networking Products
Company size
10,001+ employees
Headquarters
Santa Clara, California

Updates

  • 🌐 Is your network built to scale with your AI factory? In this webinar, Gilad Shainer, SVP of Networking at NVIDIA, and Alan Weckel, Founder and Technology Analyst at 650 Group, break down what it takes to build a networking foundation for enterprise AI, from on-prem deployments to gigascale systems. Learn how NVIDIA Spectrum-X Ethernet gives enterprises the performance, flexibility, and ecosystem support needed to deploy AI factories at any stage of growth. 🎥 Watch now: https://nvda.ws/48ijwku

    • No alternative text description for this image
  • Siemens is bringing NVIDIA accelerated computing and NVIDIA BlueField DPUs to the industrial edge, delivering secure, AI-ready data centers that run production-critical AI right where data is created. Learn more below 👇

    View organization page for Siemens Industry

    884,844 followers

    📢 Exciting news! 🚀 We are revolutionizing Industrial AI with our next-generation Industrial Automation DataCenter, now AI-ready and packed with advanced cybersecurity! We've partnered with NVIDIA and collaborated with Palo Alto Networks to bring you a truly groundbreaking solution. Here’s how it benefits for you: ✅ Ready-to-Operate & Pre-Configured: Say goodbye to complex integrations! Our DataCenter is delivered fully pre-installed, pre-configured, and system-tested from a single source, saving you up to 80 hours of integration, installation, and system engineering. ✅ Powerful AI at the Edge: Unlock the full potential of AI directly in your production environments. With NVIDIA's accelerated computing power, you get real-time insights, optimized processes, and enhanced efficiency for tasks like quality control, predictive maintenance, and production optimization. ✅ Uncompromising Cybersecurity: We've integrated advanced AI-specific cybersecurity from Palo Alto Networks Prisma AIRS and NVIDIA BlueField DPUs. This means robust protection for your critical operations and intellectual property, ensuring continuous, high-performance operation without compromising security. ✅ Real-Time Data Processing: NVIDIA BlueField DPUs enable intelligent real-time data processing and security at the infrastructure layer, offering deep visibility, advanced micro-segmentation, and zero-trust security. ✅ Worry-Free Production: Our Remote Industrial Operations Services provide continuous remote monitoring, comprehensive cybersecurity measures, regular maintenance, and rapid support from Siemens OT Security Operations Centers, protecting your production environments 24/7. Experience greater performance, efficiency, and innovation with an out-of-the-box solution designed for the demands of industrial #digitalization. Learn more about it in the first comment. #HM26 #IndustrialAI #Cybersecurity

    • A Siemens Industrial Automation Data Center graphic.
  • AI at giga-scale is redefining how we build and run networks for the AI factory era. From multi-site fabrics and edge inference to secure, cost-efficient AI factories, we explored what’s next with AI Networking at #NVIDIAGTC 2026. Watch our on-demand sessions featuring leaders from NVIDIA, Microsoft, Meta, Oracle, CoreWeave, Red Hat, Palo Alto Networks, F5, SoftBank Group Corp., and more, to learn how to scale performance, optimize tokenomics, and build resilient AI infrastructure across cloud, core, and edge. 🎥 https://nvda.ws/3Oen0h6

    • No alternative text description for this image
  • NVIDIA DOCA Argus running on NVIDIA BlueField DPUs delivers agentless runtime visibility for AI factories, monitoring process activity and memory-level behavior from its own trust domain without impacting host performance. Learn how Zscaler integrates this telemetry to turn raw runtime signals into contextual risk decisions ⤵️

    View organization page for Zscaler

    497,606 followers

    As AI investments grow, runtime security for the underlying infrastructure is critical. In our latest blog, we share how agentless runtime signals, streaming telemetry from NVIDIA DOCA Argus, and Zscaler Zero Trust work together to improve visibility and protection for AI environments → https://bit.ly/4bw4kkd Key takeaways: ✨ Real-time infrastructure insights via DOCA Argus telemetry ✨ Agentless runtime visibility with no performance impact ✨ Zero Trust to reduce new AI attack surfaces ✨ Better threat detection for AI workloads

    • Promotional image featuring the logos of Zscaler and NVIDIA. The text reads: "Blog: Agentless Runtime Signals for the AI Factory with NVIDIA and Zscaler." There is a "Read the Blog" button. The background includes a digital abstract design with swirling blue and green lines.
  • 🌐 Building AI at gigascale starts with the right network. In this on-demand webinar, “Powering Gigascale AI Factories With NVIDIA Networking,” Gilad Shainer (NVIDIA) and Sameh Boujelbene (Dell'Oro Group) share a data-driven look at how the world’s largest AI environments are designed, built, and scaled. Explore how scale-up, scale-out, and scale-across networking come together to connect hundreds of thousands of GPUs, improve performance per watt, and enable the next generation of AI factories. Watch the full webinar ➡️ https://nvda.ws/4myeB4u

    • No alternative text description for this image
  • Excited to see NVIDIA's storage experts, Jason Hardy and Jacob L., highlight how NVIDIA BlueField and NVIDIA CMX are transforming storage from a bottleneck into an accelerator for AI workloads. This is exactly the infrastructure evolution enterprises need to unlock their data's full potential. Watch their #NVIDIAGTC session below ⤵️

    View organization page for NVIDIA Data Center

    272,705 followers

    Is your storage infrastructure the actual bottleneck in your AI strategy? NVIDIA's Jason Hardy and Jacob L. reveal how enterprise storage is evolving from simple data delivery to AI-ready data systems. Discover how GPU-accelerated AI data platforms are unlocking petabytes of enterprise data in place, turning storage into the foundation of successful AI factories. ➡️ https://nvda.ws/3Qpi6ON

    • No alternative text description for this image
  • ⏳ In financial markets, microseconds matter. Databento processes 200B+ market updates daily, delivers U.S. options data in under 242 µs, and reduced network operations overhead by 60%+, all on NVIDIA Spectrum-X Ethernet, NVIDIA ConnectX, and NVIDIA Cumulus Linux. The result? A modern, scalable data infrastructure that's fueling 3,800%+ annual growth — without the cost of colocation. See how they did it 👉 https://nvda.ws/4cu3sxg

    • No alternative text description for this image

Affiliated pages

Similar pages