AI Infrastructure

Full-stack Networking Solutions
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Heterogeneous AI

Building heterogeneous AI infrastructure, with multiple GPU types, allows you to optimize overall performance. DriveNets AI Fabric solution enables such an infrastructure with full-stack optimized support for multiple GPU vendors and highest performance for the bursty and unpredictable traffic patterns of such architecture

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Full stack AI fabric
for AMD

AMD and DriveNets are helping cluster builders deploy high-performance AMD-based AI environments faster and with lower risk.
We are working closely together to provide a complete AI infrastructure solution that includes AMD Instinct GPU systems and DriveNets networking domains, spanning scale-up, scale-out, scale-across and frontend & storage networking.
The joint solution provides a fully integrated software stack that is optimized for performance and functionality, delivering a competitive alternative to a full NVIDIA AI solution.​

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AI fabric for any GPU​

DriveNets AI Fabric portfolio provides Ethernet-based, high-performance open networking solutions supporting multiple AI networking use cases:

  • Scale out – Fabric Scheduled Ethernet (FSE): a cell-based fabric providing lossless, scalable fabric with low tail latency, that efficiently interconnects any number of AI accelerators.
  • Scale out – Endpoint Schedule Ethernet (ESE): This architecture offers endpoint-based (NIC) scheduling, according to the Ultra Ethernet Consortium (UEC) standard, providing ultra-scalable, high-performance backend fabric which supports multiple NIC vendors.
  • Scale-across – DriveNets AI Fabric can support a single AI cluster with a GPU deployment split across multiple datacenters that are over 50 miles apart. This solution delivers the highest-performing multi-site connectivity, leveraging a combination of shallow- and deep-buffer ASICs within a single infrastructure.
  • Front-end and storage networks – an integrated frontend and storage network with high-performance networking for any scale.
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All Solutions Provide

Delivering unmatched AI networking performance with faster deployment, complete hardware freedom, and seamless scalability across multi-tenant and multi-site environments.


Highest Performance

Industry-leading job completion times for AI workloads.


Faster Deployment

Deploy AI networking infrastructure faster & with less complexity.


Open
Ecosystem

No vendor lock-in. Compatible with any optics, NIC, and GPU.


Built
to Scale

Optimized for multi-tenant and multi-site environments.

AI Industries

NeoCloud

LLM Vendor/Hyperscaler

Enterprise

eBook

System integrator challenges in building large-scale AI clusters

Today’s large AI clusters bring their own set of challenges. AI clusters are larger, more complex, and far more power- ...

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Industry Events

Zeus Kerravala interviews Ido Susan

Zeus Kerravala of ZK Research interviews DriveNets CEO & Co-founder Ido Susan at MWC25 in Barcelona.

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Case Studies

Case Study: Deploying Large- Scale AI Training Network Over Ethernet

Until recently, large-scale AI training environments were widely assumed to require InfiniBand to achieve acceptable GPU ...

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