Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

Exploring the Performance Characteristics of Nx in Machine Learning Workflows

Code Sync via YouTube

Overview

Coursera Flash Sale
40% Off Coursera Plus for 3 Months!
Grab it
Watch a conference talk from ElixirConf EU 2024 that delves into the performance aspects of the Nx project in Elixir's AI and machine learning ecosystem. Learn how Nx leverages the BEAM for ML workflows, enabling concurrent model execution across distributed nodes and multiple GPUs. Understand the intricate balance between NIF computations and GPU scheduling, exploring how "Servings" and "Batches" optimize request handling and resource utilization. Discover the trade-offs involved in request batching, scheduling mechanisms, and the various constraints encountered when operating ML services. Gain insights into the technical solutions that enable Nx to deliver high throughput while managing the complexities of NIF scheduling and GPU parallel processing limitations.

Syllabus

Exploring the Performance Characteristics of Nx - Benjamin Philip | ElixirConf EU 2024

Taught by

Code Sync

Reviews

Start your review of Exploring the Performance Characteristics of Nx in Machine Learning Workflows

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.