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Model Parallelism: Building and Deploying Large Neural Networks

Very large deep neural networks (DNNs), whether applied to natural language processing (e.g., GPT-3), computer vision (e.g., huge Vision Transformers), or speech AI (e.g., Wave2Vec 2) have certain...

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$500 USD
Duration 1 day
Course Code NV-MP-DEPLOY-NETW
Available Formats Classroom

Overview

Very large deep neural networks (DNNs), whether applied to natural language processing (e.g., GPT-3), computer vision (e.g., huge Vision Transformers), or speech AI (e.g., Wave2Vec 2) have certain properties that set them apart from their smaller counterparts. As DNNs become larger and are trained on progressively larger datasets, they can adapt to new tasks with just a handful of training examples, accelerating the route toward general artificial intelligence. Training models that contain tens to hundreds of billions of parameters on vast datasets isn’t trivial and requires a unique combination of AI, high-performance computing (HPC), and systems knowledge. The goal of this course is to demonstrate how to train the largest of neural networks and deploy them to production.

Skills Gained

By participating in this workshop, you’ll learn how to:

  • Train neural networks across multiple servers.
  • Use techniques such as activation checkpointing, gradient accumulation, and various forms of model parallelism to overcome the challenges associated with large-model memory footprint.
  • Capture and understand training performance characteristics to optimize model architecture.
  • Deploy very large multi-GPU models to production using NVIDIA Triton™ Inference Server.

Prerequisites

  • Good understanding of PyTorch
  • Good understanding of deep learning and data parallel training concepts
  • Practice with multi-GPU training and natural language processing are useful, but optional

Course Details

Workshop Outline

Introduction

Introduction to Training of Large Models

  • Learn about the motivation behind and key challenges of training large models.
  • Get an overview of the basic techniques and tools needed for large-scale training.
  • Get an introduction to distributed training and the Slurm job scheduler.
  • Train a Megatron-LM-based GPT model using data parallelism.
  • Profile the training process and understand execution performance.

Model Parallelism: Advanced Topics

  • Increase the model size using a range of memory-saving techniques.
  • Get an introduction to tensor and pipeline parallelism.
  • Go beyond natural language processing and get an introduction to DeepSpeed.
  • Auto-tune model performance.
  • Learn about mixture-of-experts models.

Inference of Large Models

  • Understand the challenges of deployment associated with large models.
  • Explore techniques for model reduction.
  • Learn how to use NVIDIA® TensorRT™ and Faster Transformer libraries.
  • Learn how to use Triton Inference Server.
  • Understand the process of deploying GPT checkpoint to production.
  • See an example of prompt engineering.

Final Review

Schedule

FAQ

Does the course schedule include a Lunchbreak?

Classes typically include a 1-hour lunch break around midday. However, the exact break times and duration can vary depending on the specific class. Your instructor will provide detailed information at the start of the course.

What languages are used to deliver training?

Most courses are conducted in English, unless otherwise specified. Some courses will have the word "FRENCH" marked in red beside the scheduled date(s) indicating the language of instruction.

What does GTR stand for?

GTR stands for Guaranteed to Run; if you see a course with this status, it means this event is confirmed to run. View our GTR page to see our full list of Guaranteed to Run courses.

Does Ascendient Learning deliver group training?

Yes, we provide training for groups, individuals and private on sites. View our group training page for more information.

What does vendor-authorized training mean?

As a vendor-authorized training partner, we offer a curriculum that our partners have vetted. We use the same course materials and facilitate the same labs as our vendor-delivered training. These courses are considered the gold standard and, as such, are priced accordingly.

Is the training too basic, or will you go deep into technology?

It depends on your requirements, your role in your company, and your depth of knowledge. The good news about many of our learning paths, you can start from the fundamentals to highly specialized training.

How up-to-date are your courses and support materials?

We continuously work with our vendors to evaluate and refresh course material to reflect the latest training courses and best practices.

Are your instructors seasoned trainers who have deep knowledge of the training topic?

Ascendient Learning instructors have an average of 27 years of practical IT experience and have also served as consultants for an average of 15 years. To stay current, instructors spend at least 25 percent of their time learning new, emerging technologies and courses.

Do you provide hands-on training and exercises in an actual lab environment?

Lab access is dependent on the vendor and the type of training you sign up for. However, many of our top vendors will provide lab access to students to test and practice. The course description will specify lab access.

Will you customize the training for our company’s specific needs and goals?

We will work with you to identify training needs and areas of growth.  We offer a variety of training methods, such as private group training, on-site of your choice, and virtually. We provide courses and certifications that are aligned with your business goals.

How do I get started with certification?

Getting started on a certification pathway depends on your goals and the vendor you choose to get certified in. Many vendors offer entry-level IT certification to advanced IT certification that can boost your career. To get access to certification vouchers and discounts, please contact info@ascendientlearning.com.

Will I get access to content after I complete a course?

You will get access to the PDF of course books and guides, but access to the recording and slides will depend on the vendor and type of training you receive.

How do I request a W9 for Ascendient Learning?

View our filing status and how to request a W9.

Reviews

Labs and the study materials provided for Architecting on AWS course are very easy to understand and explains all the topics required to pass the Associate certification.

Both course material and instructor demonstrated a sound foundation on Maximo material

The platform is very intuitive and easy to navigate. Great tool for learning

They were very good. They made sure everyone was able to get into the training and got all of the material needed for class.

Exit certified was great as it is very in depth and hands on learning which made it very easy to learn this type of work.