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VMC on AWS – Part 1.1 – How to Create an SDDC and Connect AWS Account
The first step in deploying the VMC on AWS is to create an SDDC and Connect your AWS Account. To perform this, follow the below steps. Login to https://console.cloud.vmware.com. Click on Launch Service. Go to the Inventory Tab and Click on Create SDDC. Provided the Require information as shown in below figure. Choose an AWS…
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My Experience with VMware Certified Professional – VMware Cloud 2022 (VCP-VMC 2022) (2V0-33.22)
Thanks for reaching out to my blog. Through this article, I’m sharing my personal experience with “VMware Certified Professional – VMware Cloud 2022 (VCP-VMC 2022),” which I recently passed at the beginning of this year 2023. What influenced me to attempt this exam? Well, while scrolling through the VMware community page in December 2022, I…
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ML Concepts – Evaluation Matrix and Equations
There are several classifiers can be used to identify the model’s effectiveness. You can assess using the evaluation metrics such as Accuracy, Recall, F1 Score, Precision, False Positive Rate (FPR), and True Positive Rate (TPR). Equations for these metrics are showing below.
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ML Concepts – What is Confusion Matrix?
Confusion matrix is a performance measurement technique for machine learning which use to evaluate the performance of a classification model. It is a table that lists how many predictions a classifier made correctly and incorrectly. It is employed to evaluate a classification model’s effectiveness. It can be used to calculate performance metrics like accuracy, precision,…
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ML Concepts – Loss Function in ANN
The Loss Function is one of the important components of Neural Networks. Loss is nothing but a prediction error of Neural Net. And the method to calculate the loss is called Loss Function.In simple words, the Loss is used to calculate the gradients. And gradients are used to update the weights of the Neural Net.…
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ML Concepts – Optimization Algorithm for Training Neural Network Model
Optimizers are algorithms or methods used to change the attributes of your neural network such as weights and learning rate in order to reduce the losses.• Gradient Descent• Stochastic Gradient Descent• Mini-Batch Gradient Descent• Momentum• Nesterov Accelerated Gradient• Adagrad• AdaDelta• Adam (Adaptive Moment Estimation)
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ML Concepts – Linear Regression vs Logistic Regression
Classification Regression Analysis Linear vs Logistic Regression More about Logistic Regression Steps in Preparing Model using Logistic Regression
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ML Concepts – Understanding the Dataset
What is Dataset? Usually dataset refers to the data that you have, it is combined of both dependent as well as independent variables. In ML lingo, dataset is the pair (X, y) where X refers to set of independent variables and y is the target. X is also called the feature set. Moreover, using variables/features…
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ML Concepts – Classification vs Regression
Classification Regression – Classification is the task of predicting a discrete class label.– In a classification problem data is labelled into one of two or more classes.– A classification problem with two classes is called binary, more than two classes is called a multi-class classification.– Classifying an email as spam or non-spam is an example…
Architect’s Toolkit
PJ’s Tools
VMware Cloud Foundation
- VCF Documentation
- VCF 9 Planning & Preparation Workbook
- VCF Bill of Materials (BoM)
- VMware Compatibility Guide
- VMware Interoperability Matrix
- VMware Configuration Maximums
- VMware Ports & Protocols
- VMware Hands-on Labs
- RVTools Download
Nutanix
AI & Cloud-Native Platform
- NVIDIA Build (Model Catalog)
- NVIDIA AI Enterprise Reference Architecture
- NVIDIA NIM Performance Benchmarking
- NVIDIA NGC Catalog
- NeMo Microservices Helm Chart
- Helm Charts Repository
- Hugging Face Models
Architecture & Design
About the Author
Dr Pranay Jha
Dr. Pranay Jha is a Cloud and AI Consultant with 18+ years of experience in hybrid cloud, virtualization, and enterprise infrastructure transformation. He specializes in VMware technologies, multi-cloud strategy, and Generative AI solutions. He holds a PhD in Computer Applications with research focused on Cloud and AI, has published multiple research papers, and has been a VMware vExpert since 2016 and a VMUG Community Leader.
Recommendations & Endorsements
Pranay has very deep technical knowledge and exceptional capabilities. He has strong ability to well-manage complex situations and deliver the customer expectations with high standards of satisfaction. We worked together in one of most complex migration projects and Pranay delivered flawlessly.
Pranay was my VMware Architect on one of our financial accounts at IBM. He was instrumental in documenting and recommending our reference architecture. As a Chief Architect, you are only as good as your team that supports you. Pranay was top notch.
Pranay is proactive, result oriented, responsible and technically sound. Always ready to put all his energy to get the job done. Exceptional troubleshooting skills in Windows Server, virtualization and VMware — a great asset to any company.
Pranay is one of the most talented and dedicated persons I have ever worked with. His vast knowledge from different domains enables him to discuss and help on almost every topic in IT. Needless to say, he is expert of experts in VMware.
DrJha