Cisco wants a (big) piece of the AI pie and doubles down on compute
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Cisco gradually rolls out a complete ecosystem of solutions, both software and hardware, for the AI age. We discuss the objectives Cisco has in the compute space with Jeremy Foster, SVP and GM for Cisco's compute organization.
Cisco's compute business appeared to be in de doldrums a couple of years ago. That is, it appeared to coast along without a very clear objective. Cisco didn't make a lot of big announcements around UCS either, as far as we can remember.
This has changed fundamentally over the past year or so. Cisco wants to make it very clear now that UCS still plays a very important role in Cisco's strategy. The reason for this? AI of course. What else? With the rise of AI comes more and different demand for the underlying infrastructure.
That infrastructure is about more than GPUs alone. Compute and networking also play a very important role. That's why Cisco has been focusing heavily on delivering AI stacks to customers. Hyperfabric is one of them, but the recent announcement of the AI POD, and the news together with Nvidia coming out of GTC are all clear indications of this.
During our conversation with Foster at Cisco Live EMEA, we asked him all about the changed dynamic within Cisco around UCS and compute in general. We talked about what makes a good AI stack, and what customers should take into account when setting one up.
Foster promises one thing, Cisco's only getting started, so it's a good idea to be clued in from the start. Another good reason to listen to this new Episode of Techzine Talks on Tour now.
Chapters
1. Cisco wants a (big) piece of the AI pie and doubles down on compute (00:00:00)
2. Introduction to Jeremy Foster (00:00:45)
3. UCS and Compute Portfolio Revival (00:01:19)
4. AI Strategy and Stack Definition (00:03:30)
5. Enterprise AI Inferencing vs Training (00:08:04)
6. Security and Storage Considerations (00:11:02)
7. FlexPod AI and Validated Designs (00:15:09)
8. Networking Integration and Future Direction (00:18:39)
36 episodes