Rajesh Kadam has worked at CEO of PipeIQ and has seen the shift from AI in the Cloud to AI in the datacenter. Rajesh talks about why Private AI from VCF 9 makes sense for mature AI workloads.

Comdivision CEO Yves Sanfort comes to Palo Alto to work with VCF teams and talks about customer adoption across the globe, from Europe, now to America's and also a APJ perspecitve. Yves also covers the AI drivers in the enterprise and moving workloads back to VCF from other Vendors.

Brad Tompkins comes on the show to talk about VMUG at Explore, the Reception, Sessions, Booth and the all important Advantage discount. Also don't forget your VCP certification for your home lab licenses.

Eric and Bob cover Raspberry Pi, Hackathon and the ARM Powershell prizes for Explore

The event team talks about what it's like to build the event this year and what's going to be new and fun in 2025 Vegas. Loads of new things and really targeting the community. Great Show!

Eric and Corey talk about the new MiniForum PC that has 16 cores, 32 threads, 128 gig of memory and 3 SSD's for VSAN, ESX and Tier Memory support. This little guy is a beast that is great for a VCF 9 home lab. It also has an external PCIe Bus to allow you to connect GPU's to run VCF 9 Private AI models. Cool Beans all the way around. These machines will be at the VMware {code} lab at explore. Not too late to get a ticket!

Kelly and David give us a behind the scene look at what it took to do the all new VCF 9 labs that were part of the VCF 9 launch, and what's coming at Explore with more lab content then any one person can take. They also talk about the Odyssey competition that will happen again this year!

Learn why vGPU's are now the new CPU's when it comes to workload balancing and management. Tasha and Drew talk about core VCF 9 AI workloads, models, and much more.

Discussion with Don Horrox around VCF 9, what he sees as new and the SkyLine Replacement

VCF 9 has done a lot of work consolidating all the API's from ESX, VSAN, NSX and more. Angel and Jatin discuss the performance improvement and what it's like to have a common API across all three without breaking compatibility.