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MLRun 1.7 is here! Unlock the power of enhanced LLM monitoring, flexible Docker image deployment, and more.

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AI Blog

2025 Gen AI Predictions: What Lies Ahead?

Cheers to a successful 2025! Here are my predictions for the upcoming year.

By  Yaron Haviv
December 17, 2024
2025
News Feature store MLOps Data science GPUs Infrastructure Kubernetes ML pipeline automation
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Tutorial: Faster AI Development with Serverless

https://hackernoon.com/tutorial-faster-ai-development-with-serverless-684f3701b004 The two most trending technologies are AI and serverless and guess what? They even go well together. Before getting into some cool examples, let’s start with some AI basics: AI involves a learning phase in which we observe patterns in historical datasets, identify or learn patterns through training and build machine learned models. Once...

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Cloud Native Storage: A Primer

We recently debated at a technical forum what cloud native storage is, which led me to believe that this topic deserves a deeper discussion and more clarity. First though, I first want to define what cloud native applications are, as some may think that containerizing an application is enough to make it “cloud-native.” This is...

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AWS re:Invent is about Data, Serverless, and AI

AWS re:Invent is all about how managed data services, serverless, and AI work together to enable new business applications. The focus is shifting from building the infrastructure of your choice in a playground that has an endless number of toys (services) to an opinionated, pre-packaged approach that enables customers to focus on business applications. Why? Businesses are aligning with the...

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The Future of Serverless Computing

Serverless computing allows developers to focus on building and running auto-scaling applications without worrying about managing servers, as server provisioning and maintenance are taken care of behind the scenes. Industry demand for instant results has therefore made serverless platforms the new buzz. However, serverless computing has challenges which limits its usability and applicability: Slow performance...

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VMworld 2017: VMware Feeds Off OpenStack Decay

I used to be sure OpenStack would take over VMware. Five years ago, when I worked on OpenStack, I felt freedom – users could manage the entire cluster as a cloud and say goodbye to $5,000 fees per license. However, in hindsight VMware hasn’t been cannibalized by OpenStack or by the public cloud. It is...

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