AI Networking

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.

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.

Early trials by some of the world’s most prominent hyperscalers have proven Network Cloud-AI’s ability to achieve a 30% improvement in JCT (Job Completion Time) over all other industry Ethernet solutions. DriveNets 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