Service Provider Routing

Software-Based Cloud-Native Network Services, One Shared Infrastructure
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For any network use case

DriveNets Network Cloud-AI offers an open networking infrastructure solutions for all sizes of GPU clusters and applications – from Enterprise to NeoCloud to Hyperscalers. Optimal solution for Enterprise applications including for Healthcare, Financial Services, Energy, Autonomous Driving and Defense. DriveNets provides a high performance, Ethernet-based solution, replacing InfiniBand and unifying backend & storage networks
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Lossless, low-tail-latency, and scalable fabric

DriveNets Network Cloud-AI delivers high-performance, scalable and open networking solutions designed to meet the demands of AI workloads – it offers an Ethernet base alternative to InfiniBand. The Fabric Scheduled Ethernet (FSE) architecture provides lossless, low-tail-latency, and scalable fabric that efficiently interconnect any number of AI accelerators.
Network Cloud-AI Highlights:

  • Highest job completion time (JCT) performance
  • Fastest AI Networking deployment time
  • No vendor lock – any Optics, any NIC, any GPU
  • Best performance multi-tenancy solution
  • The only solution providing multi-site lossless connectivity for distributed GPU clusters
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Which Network Architecture is Right for You?

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Enterprise

DriveNets Network Cloud-AI delivers high-performance, scalable and open networking solutions designed to meet the demands of AI workloads – it offers an Ethernet base alternative to InfiniBand. The Fabric Scheduled Ethernet (FSE) architecture provides lossless, low-tail-latency, and scalable fabric that efficiently interconnect any number of AI accelerators.
Network Cloud-AI Highlights:

  • Highest job completion time (JCT) performance
  • Fastest AI Networking deployment time
  • No vendor lock – any Optics, any NIC, any GPU
  • Best performance multi-tenancy solution
  • The only solution providing multi-site lossless connectivity for distributed GPU clusters
Learn More

Hyperscaler

DriveNets Network Cloud-AI delivers high-performance, scalable and open networking solutions designed to meet the demands of AI workloads – it offers an Ethernet base alternative to InfiniBand. The Fabric Scheduled Ethernet (FSE) architecture provides lossless, low-tail-latency, and scalable fabric that efficiently interconnect any number of AI accelerators.
Network Cloud-AI Highlights:

  • Highest job completion time (JCT) performance
  • Fastest AI Networking deployment time
  • No vendor lock – any Optics, any NIC, any GPU
  • Best performance multi-tenancy solution
  • The only solution providing multi-site lossless connectivity for distributed GPU clusters

NeoCloud

DriveNets Network Cloud-AI delivers high-performance, scalable and open networking solutions designed to meet the demands of AI workloads – it offers an Ethernet base alternative to InfiniBand. The Fabric Scheduled Ethernet (FSE) architecture provides lossless, low-tail-latency, and scalable fabric that efficiently interconnect any number of AI accelerators.
Network Cloud-AI Highlights:

  • Highest job completion time (JCT) performance
  • Fastest AI Networking deployment time
  • No vendor lock – any Optics, any NIC, any GPU
  • Best performance multi-tenancy solution
  • The only solution providing multi-site lossless connectivity for distributed GPU clusters
Learn More

Back-end Networking

Backend networking in AI clusters refers to the interconnect infrastructure that facilitates internal communication between AI accelerators (such as GPUs) within a data center. This is a critical piece of the AI cluster infrastructure as it accommodates the sensitive traffic enabling efficient parallel processing and data sharing

DriveNets Network Cloud-AI transforms backend networking by combining the flexibility of Ethernet with the high-performance characteristics required for AI workloads. Unlike traditional Ethernet solutions, Network Cloud-AI leverages fabric-scheduled Ethernet, an advanced architecture that ensures lossless and predictable network performance while optimizing load balancing and latency. By eliminating packet loss and minimizing GPU idle time, DriveNets Network Cloud-AI optimizes job completion time (JCT)—outperforming both standard Ethernet and proprietary InfiniBand technologies. This next-generation approach enables seamless scalability………

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Front-end/Storage Networking

Frontend networking in AI/HPC clusters refers to the network infrastructure that manages external data traffic between AI workloads and users, applications, or other services. It connects the AI cluster to the broader data center, cloud services, or enterprise systems. Frontend networking must provide high bandwidth, low latency, and secure connectivity to ensure seamless interaction between AI models and end-users or business applications.
Storage networking in AI clusters is responsible for handling the massive data transfer between the AI compute nodes and external storage systems. For AI workload, unlike typical HPC implementations, this is a critical infrastructure as this traffic is intense and insufficient performance of the storage fabric will result in poor overall workload performance.
DriveNets Network Cloud-AI provides a unified solution for both networking fabrics, sharing the same Ethernet-based technology, architecture and actual implementation with the back-end fabric.

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"We are carrying 590 petabytes of every day. That's a lot of traffic. And on our core backbone. Already over 50% of the traffic is running on an open disaggregated ...

Yigal Elbaz

SVP Network/CTO

"We are carrying 590 petabytes of every day. That's a lot of traffic. And on our core backbone. Already over 50% of the traffic is running on an open disaggregated ...

Yigal Elbaz

"We are carrying 590 petabytes of every day. That's a lot of traffic. And on our core backbone. Already over 50% of the traffic is running on an open disaggregated ...

Yigal Elbaz

SVP Network/CTO

"We are carrying 590 petabytes of every day. That's a lot of traffic. And on our core backbone. Already over 50% of the traffic is running on an open disaggregated ...

"We are carrying 590 petabytes of every day. That's a lot of traffic. And on our core backbone. Already over 50% of the traffic is running on an open disaggregated ...

Features & Benefits

Fully Disaggregated

Reduced Expenses

Deliver customer value

Lorem Ipsum

Blog

Why full-stack optimization is critical for the next era of AI infrastructure

You can buy the fastest compute in the world, but if your storage and your network aren’t optimized to work together i ...

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Networking Is Core to AI Factory Full-Stack Optimization

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Networking Is Core to AI Factory Full-Stack Optimization

After spending time at RAISE Summit 2026 in Paris, one message was clear: the AI industry is moving from model excitemen ...

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The Hidden Cost of Moving Your KV Cache

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The Hidden Cost of Moving Your KV Cache

The AI industry has grown significantly since the introduction of the attention mechanism in 2017, reaching the point wh ...

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DriveNets Solutions and our Partner Ecosystem

Grow your business by combining DriveNets’ solutions with your value-added expertise and services to penetrate new markets, differentiate yourselves, and build long-term, profitable business.

NeoCloud

NeoCloud/GPUaaS infrastructure, either purpose built or reassigned from crypto-mining, requires exceptional scalability, flexibility, multi-site and multi-tenant support to accommodate diverse cloud-native AI workloads. DriveNets Network Cloud AI delivers these capabilities through its innovative scheduled-fabric architecture — optimized for AI-driven environments. With the ability to host multiple tenants without fine-tuning, ensure resource isolation between tenants …

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In-House Hardware

Network Interface Cards (NICs): a choice of NICs from industry leading vendors including AMD 
what do you want people to walk away with and Broadcom with performance optimization software​

2500S

ESE Switch​

51.2 Tbps full duplex​
64 x 800 GbE QSFP​
Broadcom Tomahawk 5
Learn more download

2500S

ESE Switch​

51.2 Tbps full duplex​
64 x 800 GbE QSFP​
Broadcom Tomahawk 5
Learn more download

2500S

ESE Switch​

51.2 Tbps full duplex​
64 x 800 GbE QSFP​
Broadcom Tomahawk 5
Learn more download

2500S

ESE Switch​

51.2 Tbps full duplex​
64 x 800 GbE QSFP​
Broadcom Tomahawk 5
Learn more download

2500S

ESE Switch​

51.2 Tbps full duplex​
64 x 800 GbE QSFP​
Broadcom Tomahawk 5
Learn more download

2500S

ESE Switch​

51.2 Tbps full duplex​
64 x 800 GbE QSFP​
Broadcom Tomahawk 5
Learn more download

2500S

ESE Switch​

51.2 Tbps full duplex​
64 x 800 GbE QSFP​
Broadcom Tomahawk 5
Learn more download

2500S

ESE Switch​

51.2 Tbps full duplex​
64 x 800 GbE QSFP​
Broadcom Tomahawk 5
Learn more download

Lorem Ipsum

Frontend networking in AI/HPC clusters refers to the network infrastructure that manages external data traffic between AI workloads and users, applications, or other services. It connects the AI cluster to the broader data center, cloud services, or enterprise systems. Frontend networking must provide high bandwidth, low latency, and secure connectivity to ensure seamless interaction between AI models and end-users or business applications.
Storage networking in AI clusters is responsible for handling the massive data transfer between the AI compute nodes and external storage systems. For AI workload, unlike typical HPC implementations, this is a critical infrastructure as this traffic is intense and insufficient performance of the storage fabric will result in poor overall workload performance.

DriveNets Network Cloud-AI provides a unified solution for both networking fabrics, sharing the same Ethernet-based technology, architecture and actual implementation with the back-end fabric.

Learn More

Lorem Ipsum

Frontend networking in AI/HPC clusters refers to the network infrastructure that manages external data traffic between AI workloads and users, applications, or other services. It connects the AI cluster to the broader data center, cloud services, or enterprise systems. Frontend networking must provide high bandwidth, low latency, and secure connectivity to ensure seamless interaction between AI models and end-users or business applications.
Storage networking in AI clusters is responsible for handling the massive data transfer between the AI compute nodes and external storage systems. For AI workload, unlike typical HPC implementations, this is a critical infrastructure as this traffic is intense and insufficient performance of the storage fabric will result in poor overall workload performance.

DriveNets Network Cloud-AI provides a unified solution for both networking fabrics, sharing the same Ethernet-based technology, architecture and actual implementation with the back-end fabric.

Learn More

Related Content

DriveNets Advances Open Backend Networking for AI with AMD

Industry Events

DriveNets Advances Open Backend Networking for AI with AMD

DriveNets works with AMD to deliver an open, full stack backend networking solution for AI advanced by AMD Instinct™ M ...

Read more

Blog

Why full-stack optimization is critical for the next era of AI infrastructure

You can buy the fastest compute in the world, but if your storage and your network aren’t optimized to work together i ...

Read more

Collateral

AMD and DriveNets Reference Architecture

Building high-performance AI clusters is no longer a matter of adding GPUs.

Read more