DriveNets
Executive perspectives from DriveNets across NextGenInfra's event and research showcases.
12 video interviews · 2024–2026
Rethinking Data Center Network Architecture
- Ethernet is advancing from 800G to 3.2T with co-packaged optics and scheduling layers that remove lossiness for AI fabrics
- GPU clusters are scaling from 8,000 toward one million units
- DriveNets' scheduled fabric claims better time-to-first-token and lower cost-per-million-tokens than proprietary alternatives
Full summary
In this Director's Cut video, Dudy Cohen, VP of Product Marketing at DriveNets, explains how Ethernet is evolving through advancing speeds (800G to 3.2T), co-packaged optics (CPO) integration, and scheduling layers that address lossiness to support AI infrastructure with GPU clusters scaling from 8,000 to nearly one million units. He describes how DriveNets has adapted its scheduled fabric technology, delivering superior time-to-first-token performance and lower cost-per-million-tokens compared to proprietary technologies.
Ethernet Fabrics for AI Data Centers
- Networking is ~10% of AI infrastructure cost but causes ~80% of deployment challenges
- Scheduled Ethernet fabrics can exceed InfiniBand performance
Full summary
Dudy Cohen, VP of Product Marketing at DriveNets, explains that while networking represents only 10% of AI infrastructure costs, it causes 80% of deployment challenges, advocating for Ethernet-based solutions with scheduling capabilities that can exceed InfiniBand performance. He emphasizes the importance of working with innovative vendors who have deep expertience.
AI Powered Network Automation
- DriveNets pursues a dual AI strategy: automation for autonomous SP operations plus new AI revenue on existing infrastructure
- The same infrastructure serves both legacy services and GPU-as-a-service offerings
- Operators can build GPU clusters and become neo-clouds to capture the AI market
Full summary
Dudy Cohen, VP of Product Marketing at DriveNets, presents the company's dual AI strategy at MWC 2026, introducing automation tools that simplify service provider operations and enable autonomous networks while helping operators leverage existing infrastructure for new AI business opportunities. DriveNets enables service providers to use the same infrastructure for both legacy services and new offerings like GPU-as-a-service, allowing them to build GPU clusters, become neo-clouds, and capitalize on the AI market.
GPUs diversity and Ethernet in Scale-Up
- The GPU market grows more heterogeneous, moving beyond a single dominant vendor
- Networking becomes a critical AI infrastructure design consideration
- Ethernet emerges as the leading technology across all connections, from scale-up to scale-out
Full summary
Dudy Cohen, VP of Product Marketing at DriveNets, presents three predictions for 2026 AI infrastructure: a more heterogeneous GPU market, networking becoming a critical design consideration, and Ethernet emerging as the leading technology across all AI infrastructure connections (from scale-up to scale-out).
AI Networking for Service Providers: A Different Approach with DDC Clusters
- DriveNets pitches a "third" approach to AI networking for service providers
- The architecture leverages distributed disaggregated chassis (DDC) clusters with a fabric design
Full summary
Juan Rodriguez, Senior Sales Engineer at DriveNets, explains how service providers are adopting AI networking through a "third" approach leveraging distributed disaggregated chassis (DDC) cluster technology with fabric architecture.
DriveNets on Scaling AI Networks
- DriveNets frames AI scaling in three modes: scale up, scale out, and scale across.
- Modern networks can support up to 576 GPUs in a single cluster.
- Scale across unifies distributed GPU resources across multiple data centers as one system.
Full summary
Dudy Cohen, VP, Product Marketing at DriveNets, outlines three essential approaches to AI infrastructure scaling: scale up, scale out, and scale across, demonstrating how modern networks can support up to 576 GPUs in single clusters. His analysis shows how scale out networking enables unlimited GPU scalability through fabric scheduled architectures, while scale across solutions allow organizations to manage distributed GPU resources across multiple data centers as one unified system.
Scheduled Ethernet Fabric for Data Center Infrastructure
- DriveNets Network Cloud AI uses scheduled Ethernet fabric to eliminate jitter and packet drop at low latency.
- The fabric connects thousands of GPUs through a single hop.
- It runs on cost-effective white box hardware rather than proprietary switches.
Full summary
Dudy Cohen, VP, Product Marketing at DriveNets, outlines how data centers can support AI workloads through advanced networking solutions that eliminate jitter and packet drop while maintaining low latency. His showcases the DriveNets Network Cloud AI solution, which uses scheduled Ethernet fabric to connect thousands of GPUs through a single hop while operating on cost-effective white box hardware.
MWC 2024: AI & Quantum Set to Reshape Network Technology | Tech Insights
- AI and quantum computing are positioned as forces shaping networking's future.
- DriveNets advises service providers on segment routing implementation and vendor relationships.
Full summary
Juan Rodriguez, Senior Sales Engineer at DriveNets, shared insights on how AI and quantum computing will shape networking's future, while advising service providers on segment routing implementation and vendor relationships.
Why High-Performance Networks Choose Ethernet Now
- DriveNets argues high-performance Ethernet now surpasses InfiniBand via scheduled fabric.
- Ethernet is moving into the demanding scale-up domain with better low latency and predictability.
- The pitch: Ethernet is winning leadership across all AI networking use cases.
Full summary
Dudy Cohen, VP, Product Marketing at DriveNets, discusses Ethernet's growing dominance across all networking use cases at the OCP Global Summit, explaining how modern high-performance Ethernet solutions now surpass InfiniBand performance through technologies like scheduled fabric. He emphasizes that Ethernet is successfully pursuing leadership in the demanding scale-up domain with its improved low latency and predictability capabilities, making this an exciting time for AI infrastructure networking.
Ultimate Carrier Service Agility
- DriveNets advocates a software-centric, disaggregated approach for flexibility and service agility in middle mile networks.
- The vision has NaaS reshaping carrier networks with AI-driven systems managing complex networks in real time.
Full summary
Dudy Cohen, VP of Product Marketing at DriveNets, emphasizes the importance of flexibility and service agility in modern middle mile networks, advocating for a software-centric, disaggregated approach. Dudy envisions a future where Network as a Service (NaaS) reshapes carrier networks, with AI-driven systems managing complex networks in real-time.
Network Disaggregation is Happening Everywhere
- Drivenets' Juan Rodriguez observes that network disaggregation is actively happening.
- Drivenets helps customers address the challenges along the disaggregation journey.
Full summary
Juan Rodriguez, Senior Sales Engineer at Drivenets, observes that disaggregation in networking is happening, and shares how they are helping customers address challenges on the journey.
Disaggregation and SRv6 have both arrived
- Drivenets' Run Almog notes industry interest in the disaggregated distributed chassis (DDC) solution.
- SRv6 is emerging alongside disaggregation.
Full summary
Run Almog, Head of Product Strategy at Drivenets, discusses how the industry is showing interest in the disaggregated distributed chassis (DDC) solution as well as the emergence of SRv6.