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As the volume and complexity of AI models grows, reducing job completion time (JCT) by improving the efficiency of AI back-end networks becomes critical. Early testing of the use of Distributed Disaggregated Chassis (DDC) networking solutions in AI clusters demonstrate very high performance @scale. It also reduces the JCT of very large AI workloads. Based on these results, DriveNets is optimizing its DDC solutions for AI networking needs. Learn more below.
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From InfiniBand to Ethernet

Hyperscalers look to replace Infiniband with Ethernet –
Here’s why
 
 
 
Read more...         

AI Performance at Scale

How does Network Cloud-AI make performance at scale possible?
 
Learn how Ethernet can do it!
 
Watch now...         
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“DDC guarantees lossless connectivity of high-bandwidth AI workloads free of flow discrimination and with minimal impact from network failures."
Utilizing Distributed Disaggregated Chassis for Back-End AI Networking Fabric
 

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