Basic Terminologies Large Language Models

Many organizations are in the process of deploying large language models to apply to their use cases. Publically available Large Language Models (LLMs), such as ChatGPT, are trained on...
frankdenneman
10 min read

#47 – How VMware accelerates customers achieving their net zero carbon emissions goal

In episode 047, we spoke with Varghese Philipose about VMware’s sustainability efforts and how they help our customers meet...
frankdenneman
26 sec read

#46 – VMware Cloud Flex Compute Tech Preview

We’re extending the VMware Cloud Services overview series with a tech preview of the VMware Cloud Flex Compute service....
frankdenneman
39 sec read

VMware Cloud Services Overview Podcast Series

Over the last year, we’ve interviewed many guests, and throughout the Unexplored Territory Podcast show, we wanted to provide...
frankdenneman
1 min read

Research and Innovation at VMware with Chris Wolf

In episode 042 of the Unexplored Territory podcast, we talk to Chris Wolf, Chief Research and Innovation Officer of...
frankdenneman
19 sec read

vSphere ML Accelerator Spectrum Deep Dive – ESXi Host BIOS, VM, and vCenter Settings

To deploy a virtual machine with a vGPU, whether a TKG worker node or a regular VM, you must enable some...
frankdenneman
16 min read

vSphere ML Accelerator Spectrum Deep Dive –NVIDIA AI Enterprise Suite

vSphere allows assigning GPU devices to a VM using VMware’s (Dynamic) Direct Path I/O technology (Passthru) or NVIDIA’s vGPU technology. The...
frankdenneman
10 min read

vSphere ML Accelerator Spectrum Deep Dive – GPU Device Differentiators

The two last parts reviewed the capabilities of the platform. vSphere can offer fractional GPUs to Multi-GPU setups, catering to the...
frankdenneman
3 min read

All Stories

New vSphere 8 Features for Consistent ML Workload Performance

vSphere 8 is full of enhancements. Go to blogs.vmware.com or yellow-bricks.com for more extensive overviews of the vSphere 8 release. In this article, I want...
frankdenneman
2 min read

Training vs Inference – Network Compression

This training versus inference workload series provides platform architects and owners insights about ML workload characteristics. Instead of treating deep neural...
frankdenneman
8 min read

How to Write a Book – Show Up Daily

During the Belgium VMUG, I talked with Jeffrey Kusters and the VMUG leadership team about the challenges of writing a book....
frankdenneman
2 min read

Training vs Inference – Numerical Precision

Part 4 focused on the memory consumption of a CNN and revealed that neural networks require parameter data (weights) and input data...
frankdenneman
9 min read

Training vs Inference – Memory Consumption by Neural Networks

This article dives deeper into the memory consumption of deep learning neural network architectures. What exactly happens when an input is...
frankdenneman
11 min read

Unexplored Territory Podcast Episode 19 – Discussing NUMA and Cores per Sockets with the main CPU engineer of vSphere

Richard Lu joined us to talk basics of NUMA, Cores per Socket, why modern windows and mac systems have a default...
frankdenneman
25 sec read

Machine Learning on VMware Platform – Part 3 – Training versus Inference

Machine Learning on VMware Cloud Platform – Part 1 covered the three distinct phases: concept, training, and deployment, part 2 explored the...
frankdenneman
7 min read

Unexplored Territory Podcast Episode 18 – Not just artificially intelligent featuring Mazhar Memon

In this week’s Unexplored Territory Podcast, we have Mazhar Memon as our guest. Mazhar is one of the founders of VMware...
frankdenneman
45 sec read

MACHINE LEARNING ON VMWARE PLATFORM – PART 2

Resource Utilization Efficiency Machine learning, especially deep learning, is notorious for consuming large amounts of GPU resources during training. However, as...
frankdenneman
5 min read

Machine Learning on VMware Platform – Part 1

Machine Learning is reshaping modern business. Most VMware customers look at machine learning to increase revenue or decrease cost. When talking...
frankdenneman
7 min read