Resource Utilization Efficiency
Machine learning, especially deep learning, is notorious for consuming large amounts of GPU resources during training. Howev... Read More...
Machine Learning is reshaping modern business. Most VMware customers look at machine learning to increase revenue or decrease cost. When talking to customers, ... Read More...
I recently received a few questions from customers migrating between clusters with different CPU socket footprints. The challenge is not necessarily migrating ... Read More...
Over the last 20 years, we designed our core data center platform following the CPU roadmap. But in today's world, the devices attached to the processor make r... Read More...
A list of exciting sessions of this falls NVIDIA GTC conference on data science, inference, machine learning in retail and other AI related topics... Read More...
Regularly I meet with customers to discuss NUMA technology, and one of the topics that are always on the list is the Cores per Socket setting and its potential... Read More...
vSphere 7.0 introduces DRS 2.0 and its new load balancing algorithm. In essence, the new DRS is completely focused on taking care of the needs of the VMs and d... Read More...
VMworld has started, and that means a lot of new announcements. One of the most significant projects VMware is working on is project Monterey. Project Monterey... Read More...
For the last 18 months, I've been focusing on machine learning, especially how customers can successfully deploy machine learning infrastructure on a vSphere i... Read More...
https://twitter.com/MrsBrookfield/status/1402955235497287685
Katarina tweeted a very expressive tweet about her love/hate (mostly hate) relation with ... Read More...
Frank Denneman is a Chief Technologist at VMware, primarily focusing on Machine Learning technology. He is an author of the vSphere host and clustering deep dive series, podcast host for the Unexplored Territory podcast, blogs on frankdenneman.nl, and you can follow him on Twitter @frankdenneman.
