433 Stories by frankdenneman
Part 4 focused on the memory consumption of a CNN and revealed that neural networks require parameter data (weights) and input data (activations) to generate...
This article dives deeper into the memory consumption of deep learning neural network architectures. What exactly happens when an input is presented to a...
Richard Lu joined us to talk basics of NUMA, Cores per Socket, why modern windows and mac systems have a default 2 cores per...
Machine Learning on VMware Cloud Platform – Part 1 covered the three distinct phases: concept, training, and deployment, part 2 explored the data streams, the...
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...
Resource Utilization Efficiency Machine learning, especially deep learning, is notorious for consuming large amounts of GPU resources during training. However, as the last part...
Machine Learning is reshaping modern business. Most VMware customers look at machine learning to increase revenue or decrease cost. When talking to customers, we...
I recently received a few questions from customers migrating between clusters with different CPU socket footprints. The challenge is not necessarily migrating live workloads...
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...
A list of exciting sessions of this falls NVIDIA GTC conference on data science, inference, machine learning in retail and other AI related topics
