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What is TorchServe

Posted on June 29, 2025June 29, 2025 | by Rajesh Kumar

TorchServe is an open-source model serving framework developed by AWS and Meta (formerly Facebook) for deploying PyTorch models in production […]

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What is Seldon Core

Posted on June 29, 2025June 29, 2025 | by Rajesh Kumar

Seldon Core is an open-source platform for deploying, scaling, and managing machine learning models on Kubernetes. It is designed to […]

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What is KFServing?

Posted on June 29, 2025June 29, 2025 | by Rajesh Kumar

KFServing is an open-source project designed to simplify and standardize serving machine learning models on Kubernetes. It is now part […]

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What is TensorBoard?

Posted on June 29, 2025June 29, 2025 | by Rajesh Kumar

TensorBoard is a powerful visualization tool that comes with TensorFlow, the popular machine learning library developed by Google. It is […]

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An Introduction of Scale AI

Posted on June 11, 2025 | by Rajesh Kumar

Scaleβ€―AI is an American AI infrastructure company founded in 2016 and based in San Francisco. It specializes in data labeling […]

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Medical Tourism: A Booming Global Healthcare Phenomenon

Posted on June 6, 2025 | by Rajesh Kumar

In the last decade, medical tourism has evolved from a niche market to a global industry worth billions of dollars. […]

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MLFlow Components

Posted on April 6, 2025April 6, 2025 | by Rajesh Kumar

Here’s a short, simple introduction to each of the 4 core components of MLflow: πŸš€ 1. MLflow Tracking πŸ“¦ 2. […]

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Most Popular MLflow Deployment (2025 Ranking)

Posted on April 6, 2025 | by Rajesh Kumar

The popularity of MLflow deployments really depends on the audience β€” individual developers vs. enterprise teams β€” and cloud ecosystem […]

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MLflow using Laptop vs Databricks vs Azure Vs SageMaker vs Kubernetes

Posted on April 6, 2025 | by Rajesh Kumar

βœ… 1. MLflow Local (Laptop) πŸ“Œ What it is: A standalone installation of MLflow on your personal laptop or local […]

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The Complete MLOps Lifecycle: Phases, Tools, and Simple Explanations

Posted on April 5, 2025 | by Rajesh Kumar

Here’s a fully merged, polished, and accurate guide that combines both the MLOps phases with tool recommendations and simple, clear […]

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