Part 4 focused on the memory consumption of a CNN and revealed that neural networks require parameter data (weights) and input data (activations) to gener... Read More...
This article dives deeper into the memory consumption of deep learning neural network architectures. What exactly happens when an input is presented to a neura... Read More...
Machine Learning on VMware Cloud Platform – Part 1 covered the three distinct phases: concept, training, and deployment, part 2 explored the data streams,... Read More...
In this week’s Unexplored Territory Podcast, we have Mazhar Memon as our guest. Mazhar is one of the founders of VMware Bitfusion and the principal inventor of... Read More...
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...
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...
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...
