AI Networking High Performance Ethernet Solution

DriveNets Network Cloud-AI

With the fast growth of AI workloads, network solutions used in the fabric of AI clusters need to evolve to maximize the utilization of costly AI resources and support standard connectivity that enables vendor interoperability.

DriveNets Network Cloud-AI which is based on the largest-scale DDC (Distributed Disaggregated Chassis) architectures in the world, provides predictable, lossless back-end cluster connectivity and 10%-30% improvement in JCT (Job Completion Time) of high-scale, high-performance AI workloads. It maintains a GPU, ASIC and ODM agnostic architecture and supports over 100% ROI at day-1.

Performance at Scale

Up to 32K GPUs per cluster (100G-800G ports)
Performance validated in trials by hyperscalers
10-30% improved JCT performance: may lead to 100% system ROI

Trusted Solution

Based on a certified OCP DDC (Distributed Disaggregated Chassis) architecture
Proven in the world’s Largest DDC Networks
Well-Known protocol – 600 million Ethernet ports per year

Architectural Flexibility

Ethernet-based - enables vendor interoperability
GPU, ASIC & ODM agnostic
Seamless internet connectivity

Description

To best support AI workloads, new networking solutions will need to reduce AI implementation costs, enable greater throughput and 100% utilization, and support Ethernet-based implementations that enable network interoperability and multivendor support.

Early trials by some of the world’s most prominent hyperscalers have proven Network Cloud for AI’s ability to achieve a 30% improvement in JCT (Job Completion Time) over all other industry Ethernet solutions. Network Cloud-AI is the industry’s only solution capable of delivering the high performance of a proprietary solution with a standards-based Ethernet implementation; providing unrivaled performance while avoiding vendor lock-in.

Best JCT performance
Up to 32K GPUs (100-800Gbps) per cluster
Scheduled fabric – lossless connectivity, low latency & jitter
Highest bisectional bandwidth
Seamless failover and fastest recovery
No vendor lock
Support diverse Apps

Network Cloud-AI vs. The Alternatives

Network Cloud-AI vs. “Proprietary”

Network Cloud-AI is a Trusted Solution

Well-Known Protocol – 600M Ethernet Ports Per Year.

Network Cloud-AI has Architectural Flexibility

GPU, ASIC & ODM agnostic
One technology for front-end and back-end networking

Network Cloud-AI vs. Ethernet Clos Topology

Network Cloud-AI shows Performance at Scale

Up to 32K GPUs per Cluster (100G-800G ports)
Up to 30% higher performance in AI training
No performance impact on network convergence (lossless, seamless failover)
Cell-based fabric – single-hop GPU communication and scalable QoS (optimal packet-loss, latency, and jitter performance)

Network Cloud-AI vs. Ethernet Single Chassis

Network Cloud-AI shows Performance at Scale

Up to 32K GPUs (100G-800G ports) per Cluster
Scale with no performance impact

Network Cloud-AI has Architectural Flexibility

GPU, ASIC & ODM agnostic

Network Cloud-AI vs. Other DDC Solutions

Trusted Solution

Powering the world’s largest DDC Network (>52% of AT&T’s backbone)
Performance proven by hyperscalers

Network Cloud-AI has Architectural Flexibility

Open and disaggregated – Based on a certified OCP architecture
GPU, ASIC & ODM agnostic

DriveNets Network Cloud-AI​

Performance at Scale​

Trusted Solution​

Architectural Flexibility​

Description

DriveNets Network Cloud-AI

Performance at Scale

Trusted Solution

Architectural Flexibility