AI-Ready Private Cloud with Cisco and VMware

What determines whether a private cloud platform can actually serve AI workloads effectively is everything built around them: how the fabric carries traffic, how the tenancy model lets teams consume capacity, and how policy and telemetry stay coherent across the virtual and physical boundary. An AI-ready private cloud is not simply a private cloud with GPUs added to it.

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The useful part

An AI-ready private cloud is not simply a private cloud with GPUs added to it. Networking is a key component in the future of the datacenter, and it introduces new and interesting challenges. This is where the joint work VMware and Cisco are doing across VMware Cloud Foundation (VCF) and Cisco Nexus One Fabric matters.

How it works

This is work customers have been asking for, and we're excited to deliver on this.
AI workloads change the traffic profile in both directions Traditional enterprise virtualization produced a reasonably stable pattern.
AI workloads are changing the general assumptions of network traffic – they have their own patterns and they tend to go both East-West and North-South but in a more intensely saturated fashion.
What determines whether a private cloud platform can actually serve AI workloads effectively is everything built around them: how the fabric carries traffic, how the tenancy model lets teams consume...
North-south was the smaller, better-understood fraction, which is why concentrating it through a centralised gateway was a sound design.

What to take from it

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Details worth keeping

Most traffic stayed east-west inside the cluster.