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Constructing Meta’s GenAI Infrastructure – Engineering at Meta
Marking a major investment in Meta’s AI future, we are announcing two 24k GPU clusters. We are sharing details on…
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Making messaging interoperability with third events protected for customers in Europe
To comply with a new EU law, the Digital Markets Act (DMA), which comes into force on March 7th, we’ve made major…
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How DotSlash makes executable deployment easier
Andres Suarez and Michael Bolin, two software engineers at Meta, join Pascal Hartig (@passy) on the Meta Tech…
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Aligning Velox and Apache Arrow: In the direction of composable knowledge administration
We’ve partnered with Voltron Data and the Arrow community to align and converge Apache Arrow with Velox, Meta’s…
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Meta loves Python – Engineering at Meta
By now you’re already aware that Python 3.12 has been released. But did you know that several of its new features…
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Easy Precision Time Protocol at Meta
While deploying Precision Time Protocol (PTP) at Meta, we’ve developed a simplified version of the protocol (Simple…
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DotSlash: Simplified executable deployment – Engineering at Meta
We’ve open sourced DotSlash, a tool that makes large executables available in source control with a negligible…
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Bettering machine studying iteration velocity with sooner utility construct and packaging
Slow build times and inefficiencies in packaging and distributing execution files were costing our ML/AI engineers…
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Lazy is the brand new quick: How Lazy Imports and Cinder speed up machine studying at Meta
At Meta, the quest for faster model training has yielded an exciting milestone: the adoption of Lazy Imports and…
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How Meta is advancing GenAI
What’s going on with generative AI (GenAI) at Meta? And what does the future have in store?
In this episode of the…
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