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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. What are some of the most interesting workarounds that you have seen?

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Snowflake Cortex AI Continues to Advance Enterprise AI with No-Code Development, Serverless Fine-Tuning and Managed Services to Build Chat-with-Data Applications

Snowflake

Enterprises can utilize gen AI to extract more value from their data and build conversational interfaces for customer and employee applications. It provides access to industry-leading large language models (LLMs), enabling users to easily build and deploy AI-powered applications.

Coding 89
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Building Cloud Native Data Apps on Premises

Cloudera

Data is core to decision making today and organizations often turn to the cloud to build modern data apps for faster access to valuable insights. Can you achieve similar outcomes with your on-premises data platform? The post Building Cloud Native Data Apps on Premises appeared first on Cloudera Blog.

Cloud 63
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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 knew we could leverage learnings from our colleagues who are responsible for building and innovating in this space. Thus, we didn’t build all the modules completely. Artists and video editors must create them.

Media 118
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They Handle 500B Events Daily. Here’s Their Data Engineering Architecture.

Monte Carlo

A data engineering architecture is the structural framework that determines how data flows through an organization – from collection and storage to processing and analysis. It’s the big blueprint we data engineers follow in order to transform raw data into valuable insights. Why Flink instead of Spark?

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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.