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Building Meta’s GenAI Infrastructure

Engineering at Meta

By the end of 2024, we’re aiming to continue to grow our infrastructure build-out that will include 350,000 NVIDIA H100 GPUs as part of a portfolio that will feature compute power equivalent to nearly 600,000 H100s. RSC has accelerated our open and responsible AI research by helping us build our first generation of advanced AI models.

Building 145
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Managing Database Access Control For Teams With strongDM

Data Engineering Podcast

Summary Controlling access to a database is a solved problem… right? It can be straightforward for small teams and a small number of storage engines, but once either or both of those start to scale then things quickly become complex and difficult to manage. Can you describe the architecture of your system?

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Types of Information Systems: 6 Information System Types and Applications

Knowledge Hut

The information system is a very vast concept that encompasses several aspects like database management, the communication system, various devices, several connections, the internet, collection, organization, and storing data and other information-related applications that are typically used in a business forum.

Systems 52
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On-Premise vs Cloud: Where Does the Future of Data Storage Lie?

Monte Carlo

Imagine you’ve been building houses with a hammer and nails for most of your career, and I gave you a nail gun. We want to empower AutoTrader and its customers to make data-informed decisions and democratize access to data through a self-serve platform….As For this week.

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Building a Media Understanding Platform for ML Innovations

Netflix Tech

We build creator tooling to enable these colleagues to focus their time and energy on creativity. We implemented a batch processing system for users to submit their requests and wait for the system to generate the output. This limited pilot system greatly reduced the time spent by our users to manually analyze the content.

Media 116
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A Blueprint for a Real-World Recommendation System

Rockset

From his early days at Quora to leading projects at Facebook and his current venture at Fennel (a real-time feature store for ML), Nikhil has traversed the evolving landscape of machine learning engineering and machine learning infrastructure specifically in the context of recommendation systems.

Systems 52
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How to Build a Data Pipeline in 6 Steps

Ascend.io

But let’s be honest, creating effective, robust, and reliable data pipelines, the ones that feed your company’s reporting and analytics, is no walk in the park. From building the connectors to ensuring that data lands smoothly in your reporting warehouse, each step requires a nuanced understanding and strategic approach.