CloudNets

DriveNets

Dive into the latest in high-scale networking

  1. 14 Jul

    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

  2. 20 Apr

    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

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5
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Dive into the latest in high-scale networking