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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
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🔈 Apple: https://podcasts.apple.com/il/podcast/cloudnets/id1589786423
🔈 Spotify: https://open.spotify.com/show/1q8e4hNOyaz5ySTeRjTP25
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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:
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
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/
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𝗣𝗼𝗱𝗰𝗮𝘀𝘁𝘀
🔈 Apple: https://podcasts.apple.com/il/podcast/cloudnets/id1589786423
🔈 Spotify: https://open.spotify.com/show/1q8e4hNOyaz5ySTeRjTP25
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
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
In this episode, we explain the challenge network operators face when introducing new features—balancing speed, risk, and maintenance windows—and why traditional “big bang” upgrades are risky and slow. Here, we introduce automated scheduled maintenance that allows gradual, controlled software rollouts, reducing risk while accelerating innovation without late-night manual work.
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
At the SC25 event, DriveNets’ Dudy Cohen (VP Product Marketing) and Andy Holland (Sales Director for AI Infrastructure) explore how Ethernet is expanding its reach beyond traditional scale-out and scale-across applications to challenge InfiniBand in the demanding scale-up domain.
Key highlights
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