AI builders can now design next-gen superclusters without being limited by local resource constraints. Join @drivenets @weka and @WhiteFiber_ to explore how WhiteFiber Continuum connects geographically separated data centers into a single logical GPU supercluster. The panel takes you inside the architecture and explores what it takes to put it into practice. 👉 Register for the webinar 📅 October 14, 2026 | 11:00 AM ET weka.io/lp/scaling-ai-across… Sagie Fanish Alan McSeveney Toby Ford

Break through the barriers to AI infrastructure growth. ​ DriveNets proves that data center power does not have to limit AI infrastructure scaling. ​ With long-distance, scale-across AI networking, clusters can span across multiple data centers. ​ Read the full deployment story with @WhiteFiber_ drivenets.com/blog/inside-wh…

This shows what becomes possible when ambitious engineering is paired with the right networking architecture. @WhiteFiber_ Continuum is a high-performance AI cluster built over two locations, 83 km apart, connected by DriveNets AI Fabric

Building an AI cluster is much more than choosing GPUs. Compute, networking, storage, software, and operations must work together to deliver performance at scale. The latest blog from Rahul Nema explores the key considerations for designing an efficient, scalable AI cluster. 👉 Read more: drivenets.com/blog/how-to-de…

Attending India Mobile Congress 2026? We’d love to meet you there! Join us at DriveNets – Booth C10, Hall 2 to explore how we’re helping top global service providers transform their networks, reduce operational complexity, and lower costs. Let’s connect to discuss your network and business plans and share the latest updates from DriveNets. get.drivenets.com/imc26-sche…

More GPUs don’t guarantee more performance for AI As models scale and architectures evolve - it's more and more the network's role to determine how much compute is actually usable. In this Techstrong.ai article, DriveNets’ Shai Haim explains why compute, networking, software, and model architecture must be designed as one system. Read the full article: techstrong.ai/features/for-m…

Attending India Mobile Congress 2026? We’d love to meet you there! Join us at DriveNets – Booth C10, Hall 2 to explore how we’re helping top global service providers transform their networks, reduce operational complexity, and lower costs. Let’s connect to discuss your network and business plans and share the latest updates from DriveNets. get.drivenets.com/imc26-sche…

Migrating a live Tier-1 backbone is not easy. During the transition, legacy routers advertise unicast routes while migrated routers use VPN routes. Traditional approaches solve this with stitching routers that add hardware, traffic chokepoints, and new failure domains. In the latest blog, Hen Haklai explains how @drivenets AFX is the bridge that makes this transition easier. Read now: drivenets.com/blog/migrating…

Redefining AI infrastructure performance. Our white paper explores how AMD Instinct GPUs combined with DriveNets’ AI networking architecture deliver true system-level optimization, maximizing GPU utilization, scalability, and efficiency for AI workloads. Download: drivenets.com/resources/whit…

One size doesn't fit all AI infrastructure has, for most of its history, run on a one-size-fits-all assumption. That assumption is breaking down. Different AI workloads stress hardware in fundamentally different ways, and as the mix of workloads grows, the cost of forcing all of them onto the same chip grows. Heterogeneous AI matches each stage of inference to the kind of hardware it actually needs, rather than picking one GPU and using it for everything. 👉 drivenets.com/blog/the-hidde…

Are you in Vegas at Ai4? Meet our team at DriveNets booth 840: Andy Holland, Gali Ross-Hasson, and Sani Ronen Learn more about our AI Ethernet fabric supporting InfiniBand-level performance, and about our work with AMD.

Will you be in Vegas at Ai4? 👉 Join us! Wed Aug 5, at 10:30am for the panel Overhauling Traditional IT Systems for the AI Era VP of AI Product, Yossi Kikozashvili, will share insights on how IT leaders are modernizing legacy infrastructure to support AI workloads. ai4.io/agenda-full/?_gl=1*q5… We’ll be at Ai4 in Las Vegas (booth 840) and will be happy to share more about our AI Ethernet fabric supporting InfiniBand-level performance, and about our work with AMD. 👉 get.drivenets.com/ai4-2026-s…

DriveNets and AMD released a validated reference architecture for building high- performance AI infrastructure using AMD Instinct™ MI350 series GPUs and DriveNets AI Fabric.​ ✔️ supports scale-out and scale-across architectures​ ✔️ offers an open alternative to vertically integrated AI infrastructure stacks​ ✔️ maximizes GPU utilization ​ ✔️ delivers 5% higher throughput and 10–15% lower time to first token (TTFT)​ Read the full announcement for benchmark results:  drivenets.com/news-and-event…

Break through the barriers to AI infrastructure growth.​ DriveNets proves that data center power does not have to limit AI infrastructure scaling. ​ With long-distance, scale-across AI networking, clusters can span across multiple data centers.​ Read the full deployment story: drivenets.com/blog/inside-wh…

With long-distance, scale-across AI networking, clusters can span across multiple data centers - physical distance is no longer a barrier. drivenets.com/news-and-event…

One GPU for everything no longer works for AI infrastructure. As inference becomes the dominant cost of AI, the mismatch is getting harder to ignore: prefill needs raw compute, while decode needs memory bandwidth and low latency. The solution: Heterogeneous AI - matching each stage of inference to the hardware it actually needs. But splitting inference across different kinds of hardware puts the network on the critical path. Networking becomes a first-class part of the architecture, not something you order last, and standard datacenter network is not enough. Read the new blog from Adam Wolman and learn how Heterogeneous AI is reshaping AI infrastructure. 👉 drivenets.com/blog/the-hidde…

Recently on @theallinpod piped.video/V0lFjTWx36I?t=2094 (35:00) @GavinSBaker shares insights on "Reinventing Networking" "I would just say, well you know, two names that we've been involved in publicly are @AriaNetworks and @DriveNets. And they're both in the networking space and basically as data centers get more specialized and complicated you're going to have increasingly specialized chips it's called the disaggregation of inference and pre-fill and decode. And to make all of these chips to work together, like a symphony, and have the kind of the right chip for the right job at the right time, I do think we need to reinvent networking and @AriaNetworks and @DriveNets are coming at that in a very different way."

𝗗𝗿𝗶𝘃𝗲𝗡𝗲𝘁𝘀 は 𝗜𝗻𝘁𝗲𝗿𝗼𝗽 𝟮𝟲 𝗧𝗼𝗸𝘆𝗼 に出展します🎉 👉ブース小間番号: 5Y15 ✅ 国内複数の通信事業者様で 商用導入が開始 ✅ Dell AI Factory に DriveNets Fabric Scheduled Ethernet (FSE) が採用 ✅ AMD Instinct GPU との Reference Architecture を公開 ✅ 直近、$410M(Series D) の資金調達を完了/ 累計調達額 $1B、企業価値 $8.5B へ 「Disaggregated Networking」が"検証フェーズ"から"商用フェーズ"へ。 AT&T・Comcast・KDDI に続き、日本でも本格展開が始まっています。 AMDも新たに出資参画し、Heterogeneous AI 時代の次のステージへ加速しています。 レガシールーターからオープンネットワークへ：Tier-1 事業者のための現実的アプローチ 佐々木 俊輔 | J3-03 | 06.12（金）11:25〜12:05　展示会場内 J（7A09） forest.f2ff.jp/introduction/… 🔗 japan.drivenets.com/home 👉 DriveNets、Telecom Infra Project (TIP) 準拠クラスタベース DDBR コアルーターの商用運用を KDDI Corporation バックボーンで開始 get.drivenets.com/drivenets-… 👉 ドライブネッツ、4 億 1,000 万ドルのシリーズ D 資金調達を実施 - 大規模 AI 導入でのイーサネット・ファブリック需要の急増に対応 get.drivenets.com/drivenets-… #Interop2026

The most expensive idle asset in the world right now is a GPU waiting on the network. Following our $410 million Series D funding announcement this week, Ido Susan, CEO and co-founder at DriveNets, explores the true cost of AI infrastructure and how any network weakness can drastically reduce GPU utilization and extend job completion times. 👉 drivenets.com/blog/the-most-… DriveNets addresses this with our Scheduled Ethernet-based AI fabric. We deliver high-performance, low-latency, and reliable connectivity across large GPU clusters - supporting scale-up, scale-out, and scale-across architectures - along with front-end and storage connectivity. Having built large-scale networking solutions for the world’s leading service providers, we're brought this foundation to AI infrastructure, where GPU clusters demand massive scale, resilience, and operational efficiency. With more than $1B in secured business, learn how DriveNets is looking to support its growing AI fabric pipeline and expand our Heterogeneous AI solution.

The most expensive idle asset in the world? A GPU waiting on the network. When networking bottlenecks slow down your AI clusters, your ROI plummets. DriveNets just secured $410M in Series D funding to scale the open, multi-vendor Ethernet fabrics that large-scale AI infrastructure demands. drivenets.com/news-and-event… DriveNets’ high-performance AI Fabric eliminates networking bottlenecks by performing end-to-end networking optimizations across the entire AI stack. ✔️ Maximize GPU utilization ✔️ Reduce cost-per-token ✔️ Enable rapid deployment and efficient end-to-end scaling