Maximize AI training performance across multiple data centers with automatic topology awareness and optimized network paths. NCCL's new cross-DC feature makes scaling distributed workloads easier and optimizes performance with minimal major workflow changes Read the tech blog ➡️ https://nvda.ws/4ojLfrj
NVIDIA Networking
Computer Networking Products
Santa Clara, California 38,814 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
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https://www.nvidia.com/en-us/networking/
External link for NVIDIA Networking
- Industry
- Computer Networking Products
- Company size
- 10,001+ employees
- Headquarters
- Santa Clara, California
Updates
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NVIDIA Networking reposted this
Securing mission-critical applications just got a whole lot easier 🔐 The next generation of edge security is here: Prisma AIRS on NVIDIA BlueField delivers real-time AI-powered, Zero Trust protection where others can't. Gain end-to-end visibility and security that moves at the speed of business, ensuring your critical applications are always protected. The edge is no longer your blindspot. https://bit.ly/45orGFI
Prisma AIRS on NVIDIA BlueField
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How will advances in memory shape the future of #AI? Hear NVIDIA CTO Michael Kagen drive the conversation at the Future of Memory & Storage Summit (FMS) next week. Expect insights on key trends steering artificial intelligence and storage innovation. 🗓️ Wednesday, August 6, 8:30am PT, Santa Clara, CA. 🔗 Don’t miss your chance to learn from the leaders: https://nvda.ws/4lT5ytU
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🚀 Looking forward to our tutorial on GPU Communication at IEEE Hot Interconnects. This is a fantastic opportunity to deepen your expertise in NCCL and NVSHMEM—two essential libraries powering large-scale AI and HPC. Hands-on learning with top experts awaits, and registration is now open. Don’t miss your chance to join on August 22, 2025. 🔗 Register here: https://lnkd.in/g43JjsVc
This year NVIDIA is giving a tutorial on GPU Communications at IEEE Hot Interconnects! The tutorial will cover NVIDIA Collective Communication Library (NCCL) and NVSHMEM, the technologies behind cutting-edge large-scale AI and HPC infrastructures. The resources will be provided by Forschungszentrum Jülich. Save the date (Aug 22, 2025) Presenters: Arnav Goel, Benjamin G., Pouya Kousha, PhD, Andreas Herten Abstract: This tutorial provides a comprehensive introduction to two advanced GPU communication libraries: NVIDIA Collective Communication Library (NCCL) and NVSHMEM. Designed for researchers, engineers, and developers working on HPC and deep learning, the session explores the core concepts, programming models, and practical use cases of both libraries. NCCL is optimized for collective and point-to-point communication among GPUs, offering high throughput and low latency by leveraging hardware features such as NVLink, PCIe, and RDMA networking (InfiniBand, RoCE, etc). It is widely used for distributed deep learning and scientific computing, enabling efficient data movement and synchronization across multiple GPUs within and across nodes. NVSHMEM, on the other hand, implements a Partitioned Global Address Space (PGAS) model for NVIDIA GPUs, supporting one-sided communication and fine-grained data exchange. It enables both host- and device-initiated operations, allowing for asynchronous, in-kernel communication and efficient overlap of computation and communication. NVSHMEM is particularly suited for irregular communication patterns and workloads requiring low-latency, fine-grained GPU-initiated operations. Through hands-on examples we elaborate on the new features in both libraries, participants will gain practical skills in leveraging NCCL and NVSHMEM to accelerate multi-GPU applications, understand their interoperability, and select the right tool for diverse HPC and DL scenarios. IEEE Computer Society NVIDIA Networking #NCCL #NVSHMEM #NVIDIA #AI #HPC #hoti #hoti25
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NVIDIA Networking reposted this
Learn how to simulate real-world data centers in the #cloud using NVIDIA Air—a powerful platform for building, testing, and sharing virtual topologies. This step-by-step tutorial walks you through launching your first simulation, provisioning services, and collaborating with others in a realistic environment. #IT Watch now ➡️ https://nvda.ws/3GKmfIR
Simulate Real-World Data Centers in the Cloud with NVIDIA Air
https://www.youtube.com/
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Looking for a smarter way to configure networks? With NVIDIA Air, you can: ✅ Easily test and experiment with network automation using popular tools like Ansible and Git ✅ Leverage version control and automation for rapid, error‑free configuration deployment across the entire fabric ✅ Build, test, stress, and rebuild with the flexibility of a cloud‑based simulation platform 🔗 Read the blog to learn more: https://nvda.ws/41fKZj1
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Loved the first webinar, "Enable AI Factories with Optimized Data Center Infrastructure"? Don’t miss the next one! 💡 Join NVIDIA experts for Part 2 as we dive deeper into the networking backbone of AI factories. 🔗 Take your AI knowledge even further and register now: https://nvda.ws/3IHLFqY
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Before diving into configuration, routing, or management, it’s critical to design your network topology. With NVIDIA Air, you can do more than just plan. You can simulate and validate scalable, custom topologies before a single cable is deployed. Whether you’re modeling a small lab network or an entire data center, external file uploads make it easy to bring in your own designs and test them at scale. 🔗 Discover how to accelerate your design process and reduce deployment risks: https://nvda.ws/4l4nhO0
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NVIDIA Networking reposted this
Don’t miss this! Join us Thursday, August 7 at 11:00 AM for the FMS Executive AI Panel — a powerhouse conversation with top leaders from NVIDIA, KIOXIA America, Inc., SK hynix America, IBM, and VAST Data on how memory and storage are evolving for AI inference. This panel will explore how AI-optimized networking and storage can unlock dramatic gains in inference request throughput and scalability across massive GPU deployments. Santa Clara Convention Center Thursday, August 7 11:00 AM – 12:00 Noon Secure your spot at FMS: the Future of Memory and Storage now https://bit.ly/4kCmKDp #AIInference #FMS25 #MemoryAndStorage #AIInfrastructure #FutureOfAI #DataStorage #TechLeadership #NVIDIA #KIOXIA #SKhynix #IBM #VASTData #DataInnovation #ExecutivePanel #ScalingAI #TechEvents #FMS2025
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🔐 Security shouldn’t be an afterthought, it should be built in. NVIDIA Quantum InfiniBand delivers hardware-enforced isolation, secure management, and tenant-level control, all without sacrificing performance. 🔗Read our tech blog: https://nvda.ws/46JqONZ
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