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DriveNets

Dive into the latest in high-scale networking

  1. 1d ago

    DriveNets and WhiteFiber Connect Two Distant Sites into One AI Supercluster

    DriveNets, WhiteFiber and WEKA successfully connected GPU clusters at two geographically separated data centers to operate as one AI supercluster. The video explores how this scale-across approach helps overcome power and capacity constraints, alongside network planning considerations and plans to expand to more sites. 𝗞𝗲𝘆 𝗧𝗮𝗸𝗲𝗮𝘄𝗮𝘆𝘀  Plan the network ahead: use shallow buffer for intra-site connectivity and deep buffer for cross-site connectivity. Provide sufficient capacity, preferably dark fiber, between the sites, and use a scheduler that spreads the workload across different systems.  • When a data center runs out of power, add GPUs in another data center up to 50 and even 100 miles away. Both GPU clusters then work as a single cluster.  For latency-sensitive inference, place GPUs closer to customers at the edge, and measure time to first token and time between tokens, not just round-trip delay.  WhiteFiber runs 2 sites today and plans 3 or more in a mesh or hub-and-spoke model, combining smaller modular capacity into one larger fabric.𝗥𝗲𝗮𝗱 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 𝘀𝘁𝗼𝗿𝘆 https://www.whitefiber.com/blog/cross-data-center-networking-solution --------------------------------------------------------------------- 𝗟𝗲𝗮𝗿𝗻 𝗺𝗼𝗿𝗲 𝗮𝗯𝗼𝘂𝘁 𝗗𝗿𝗶𝘃𝗲𝗡𝗲𝘁𝘀 https://drivenets.com/ DriveNets builds high-performance networking solutions for large-scale AI infrastructure and service-provider networks. DriveNets’ Network Cloud powers production networks at global operators such as AT&T and Comcast, while its AI Fabric solutions optimize the performance and time to first token (TTFT) in multi-vendor AI environments at foundation model labs, NeoClouds, and enterprises. DriveNets combines high-performance networking, end-to-end automation, and full-stack AI cluster optimization to remove network bottlenecks, maximize GPU utilization, accelerate AI cluster deployments, and improve token economics. 𝗪𝗵𝗲𝗿𝗲 𝘁𝗼 𝗳𝗶𝗻𝗱 𝗗𝗿𝗶𝘃𝗲𝗡𝗲𝘁𝘀 🔗 LinkedIn: https://www.linkedin.com/company/drivenets 🔗 X: https://x.com/drivenets

  2. Oct 8

    Delivering the full-stack suite for GPU interconnect

    At the AI Infra Summit, DriveNets’ Dudy Cohen (VP Product Marketing) explores how networking plays a key role in AI infrastructure, from optimizing GPU utilization, supporting scale-across for data centers to enabling heterogeneous AI. What will you learn: How networking helps optimize GPU utilization and improve tokens per dollar and per watt.Why full-stack optimization spans switches, NICs, communication libraries, and workloads.How networking enables heterogeneous AI clusters with different GPU and ASIC types.Why disaggregated inference requires networks that handle bursty traffic and KV cache transfers.How scale-across connects GPUs across geographically separated data centers to tap into available power resources.𝗟𝗲𝗮𝗿𝗻 𝗺𝗼𝗿𝗲 𝗮𝗯𝗼𝘂𝘁 𝗗𝗿𝗶𝘃𝗲𝗡𝗲𝘁𝘀  👉 https://drivenets.com/ai-fabric 𝗪𝗵𝗲𝗿𝗲 𝘁𝗼 𝗳𝗶𝗻𝗱 𝗗𝗿𝗶𝘃𝗲𝗡𝗲𝘁𝘀 🔗 LinkedIn:    https://www.linkedin.com/company/drivenets 🔗 X:   https://x.com/drivenets 𝗣𝗼𝗱𝗰𝗮𝘀𝘁𝘀 🔈 Apple: https://podcasts.apple.com/il/podcast/cloudnets/id1589786423  🔈 Spotify:  https://open.spotify.com/show/1q8e4hNOyaz5ySTeRjTP25

  3. Jul 14

    Nasdaq Marketsite interviews DriveNets

    Nasdaq Marketsite reporter Kristina Ayanian interviews DriveNets CEO & co-founder, Ido Susan, and Hillel Kobrinsky, Chief Strategy Officer and co-founder. DriveNets Co-Founder and CEO Ido Susan and Co-Founder and Chief Strategy Officer Hillel Kobrinsky joined Kristina Ayanian at Nasdaq MarketSite to discuss DriveNets’ $410 million Series D funding round, the company’s growth, and the future of AI infrastructure. In the interview, they explained why the round is not a traditional fundraising milestone, but a “delivery round” designed to support DriveNets' scaling inventory, supply chain, and customer delivery. They also covered AMD’s role as a strategic investor, the market shift toward open, multi-vendor AI infrastructure, and why network performance has become critical to maximizing GPU utilization. DriveNets is helping to solve AI networking bottlenecks by optimizing the software stack connecting tens of thousands of GPUs into a single high-performance infrastructure. Discussing the rise of heterogeneous AI, they expand on how different AI workloads should be matched to the most suitable chips, resources, and architectures. 𝗪𝗵𝗲𝗿𝗲 𝘁𝗼 𝗳𝗶𝗻𝗱 𝗗𝗿𝗶𝘃𝗲𝗡𝗲𝘁𝘀 🔗 LinkedIn: https://www.linkedin.com/company/drivenets         🔗 X:   https://x.com/drivenets 𝗣𝗼𝗱𝗰𝗮𝘀𝘁𝘀 🔈 Apple:  https://podcasts.apple.com/il/podcast/cloudnets/id1589786423 🔈 Spotify:  https://open.spotify.com/show/1q8e4hNOyaz5ySTeRjTP25 👇SUBSCRIBE TO OUR NEWSLETTER NOW👇 Subscribe on LinkedIn https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=6953575364468056064

  4. Apr 20

    Rethinking Data Center Network Architecture

    Dudy Cohen, VP of Product Marketing at DriveNets, examines the rapid evolution of Ethernet technology and its critical role in AI infrastructure. Cohen discusses how Ethernet is advancing through multiple dimensions—from 800G to 1.6T line rates, co-packaged optics integration, and the introduction of scheduling layers that address Ethernet's traditional limitations. He explores the dramatic scaling of GPU clusters, from thousands to potentially millions of units, and explains why different scheduling approaches—fabric scheduling versus endpoint scheduling—suit different deployment scenarios. Cohen traces DriveNets' journey from building scalable service provider routers to applying the same scheduled fabric technology to AI backend networks. The discussion reveals how technical architecture choices directly impact business metrics, from time to first token to cost per million tokens, and why open, Ethernet-based solutions are gaining traction across hyperscalers, neoclouds, and enterprise deployments. What You Will Learn: How Ethernet technology is evolving across speed, optics, and scheduling capabilitiesThe difference between fabric scheduling and endpoint scheduling for AI networksWhy ESUN technology enables Ethernet to compete with purpose-built scale-up protocolsHow GPU cluster sizes are scaling from thousands to potentially millions of unitsThe business case for Ethernet-based AI infrastructure in terms of deployment speed and operational costs

  5. Feb 2

    CloudNets S5 E5 Orchestrating the world’s largest temporary network

    From the SuperCompute25 event in St. Louis, this episode takes a look behind the scenes of the world’s largest temporary network. Hear about the real challenges of orchestrating massive, multi-vendor networks—and how a new platform aims to simplify network operations end to end, with big news coming in 2026. 𝗟𝗲𝗮𝗿𝗻 𝗺𝗼𝗿𝗲 𝗮𝗯𝗼𝘂𝘁 𝗗𝗿𝗶𝘃𝗲𝗡𝗲𝘁𝘀 𝗡𝗲𝘁𝘄𝗼𝗿𝗸 𝗖𝗹𝗼𝘂𝗱 👉 https://drivenets.com/solutions/ai-networking/ 𝗪𝗵𝗲𝗿𝗲 𝘁𝗼 𝗳𝗶𝗻𝗱 𝗗𝗿𝗶𝘃𝗲𝗡𝗲𝘁𝘀 🔗 LinkedIn:    https://www.linkedin.com/company/drivenets 🔗 X:   https://x.com/drivenets 𝗣𝗼𝗱𝗰𝗮𝘀𝘁𝘀 🔈 Apple: https://podcasts.apple.com/il/podcast/cloudnets/id1589786423  🔈 Spotify:  https://open.spotify.com/show/1q8e4hNOyaz5ySTeRjTP25

  6. Jan 27

    CloudNets S5 E4 Last Mile Redundancy Dilemma

    In this episode of CloudNets, we dive into the last-mile redundancy dilemma for service providers. We explore the trade-offs between single and dual connections, the complexity of traditional chassis-based designs, and how Distributed Disaggregated Chassis (DDC) delivers the best of both worlds—true redundancy, resilience, and scalability without added operational complexity. DriveNets Service Provider Networking solution: https://drivenets.com/products/ Follow us on social LinkedIn: https://www.linkedin.com/company/drivenetsX: https://twitter.com/drivenets𝗣𝗼𝗱𝗰𝗮𝘀𝘁𝘀 🔈 Apple:  https://podcasts.apple.com/il/podcast/cloudnets/id1589786423 🔈 Spotify:   https://open.spotify.com/show/1q8e4hNOyaz5ySTeRjTP25

  7. Jan 21

    CloudNets S5 E3 Minimize Blast Radius

    In this episode of CloudNets, we dive into blast radius and how to design networks that prevent failures from cascading and impacting customers. We explore how network segmentation and distributed chassis architectures dramatically reduce blast radius and improve resiliency. 𝗟𝗲𝗮𝗿𝗻 𝗺𝗼𝗿𝗲 𝗮𝗯𝗼𝘂𝘁 𝗗𝗿𝗶𝘃𝗲𝗡𝗲𝘁𝘀 𝗡𝗲𝘁𝘄𝗼𝗿𝗸 𝗖𝗹𝗼𝘂𝗱 https://drivenets.com/products/ 𝗪𝗵𝗲𝗿𝗲 𝘁𝗼 𝗳𝗶𝗻𝗱 𝗗𝗿𝗶𝘃𝗲𝗡𝗲𝘁𝘀 LinkedIn: https://www.linkedin.com/company/drivenets X: https://x.com/drivenets 𝗣𝗼𝗱𝗰𝗮𝘀𝘁𝘀 Apple:  https://podcasts.apple.com/il/podcast/cloudnets/id1589786423 Spotify:  https://open.spotify.com/show/1q8e4hNOyaz5ySTeRjTP25 𝗪𝗮𝘁𝗰𝗵 𝗠𝗼𝗿𝗲 𝗩𝗶𝗱𝗲𝗼𝘀       • CloudNets S4 Ep7 Network Modernization        • CloudNets 4 Ep 1 New Automation Capabilities        • CloudNets 4 Ep 3 Autonomous Network

  8. Jan 12

    CloudNets S5 E2 Network Upgrade Considerations

    This episode of CloudNets explains how network operators should prioritize upgrades by balancing new feature value against security, reliability, and SLA risks. It highlights the importance of addressing security vulnerabilities quickly using targeted hot patches, which reduce testing scope and operational risk while allowing upgrades to be scheduled and deployed with minimal network disruption. 𝗟𝗲𝗮𝗿𝗻 𝗺𝗼𝗿𝗲 𝗮𝗯𝗼𝘂𝘁 𝗗𝗿𝗶𝘃𝗲𝗡𝗲𝘁𝘀 𝗡𝗲𝘁𝘄𝗼𝗿𝗸 𝗖𝗹𝗼𝘂𝗱 https://drivenets.com/products/ 𝗪𝗵𝗲𝗿𝗲 𝘁𝗼 𝗳𝗶𝗻𝗱 𝗗𝗿𝗶𝘃𝗲𝗡𝗲𝘁𝘀 LinkedIn: https://linkedin.com/drivenets   X: https://x.com/drivenets 𝗣𝗼𝗱𝗰𝗮𝘀𝘁𝘀 Apple:  https://podcasts.apple.com/il/podcast/cloudnets/id1589786423 Spotify:  https://open.spotify.com/show/1q8e4hNOyaz5ySTeRjTP25 𝗪𝗮𝘁𝗰𝗵 𝗠𝗼𝗿𝗲 𝗩𝗶𝗱𝗲𝗼𝘀    • https://youtu.be/-8EbkT524yo?si=qs70VVUFBqrTQtki    • https://youtu.be/F7MwHpnbGP0?si=L5R-s3Kq4PgcyVOh    • https://youtu.be/SI5MPwFy_XM?si=MJAgiWkQl91vIH6Y

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About

Dive into the latest in high-scale networking

Information

  • Creator
    DriveNets
  • Years Active
    2021 - 2026
  • Episodes
    54
  • Rating
    Clean
  • Copyright
    © 2026 CloudNets
  • Show Website
    CloudNets