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Handling Multi-Terabyte LLM Checkpoints // Simon Karasik // #228

Handling Multi-Terabyte LLM Checkpoints // Simon Karasik // #228

FromMLOps.community


Handling Multi-Terabyte LLM Checkpoints // Simon Karasik // #228

FromMLOps.community

ratings:
Length:
56 minutes
Released:
Apr 30, 2024
Format:
Podcast episode

Description

Join us at our first in-person conference on June 25 all about AI Quality: https://www.aiqualityconference.com

Simon Karasik⁠ is a proactive and curious ML Engineer with 5 years of experience. Developed & deployed ML models at WEB and Big scale for Ads and Tax.

Huge thank you to Nebius AI for sponsoring this episode. Nebius AI - https://nebius.ai/

MLOps podcast #228 with Simon Karasik, Machine Learning Engineer at Nebius AI, Handling Multi-Terabyte LLM Checkpoints.

// Abstract
The talk provides a gentle introduction to the topic of LLM checkpointing: why is it hard, how big are the checkpoints. It covers various tips and tricks for saving and loading multi-terabyte checkpoints, as well as the selection of cloud storage options for checkpointing.

// Bio
Full-stack Machine Learning Engineer, currently working on infrastructure for LLM training, with previous experience in ML for Ads, Speech, and Tax.

// MLOps Jobs board
https://mlops.pallet.xyz/jobs

// MLOps Swag/Merch
https://mlops-community.myshopify.com/

// Related Links


--------------- ✌️Connect With Us ✌️ -------------
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Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/
Connect with Simon on LinkedIn: https://www.linkedin.com/in/simon-karasik/
Released:
Apr 30, 2024
Format:
Podcast episode

Titles in the series (100)

Weekly talks and fireside chats about everything that has to do with the new space emerging around DevOps for Machine Learning aka MLOps aka Machine Learning Operations.