Choosing the Best Instance

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Questions and Answers

True or false: You need to enable Intel DL Boost to get the best performance out of Intel Xeon Scalable processors.

True

What is needed to save power and cost when training AI models?

CPUs

What is necessary to get the best performance out of Intel Xeon Scalable processors?

Using instances with Deep Learning Boost instruction set

True or false: Instances from AWS and Azure both support Deep Learning Boost.

True Signup and view all the answers

What is Intel DL Boost?

A feature available on 2nd and 3rd Gen Intel Xeon Scalable processors Signup and view all the answers

What type of libraries are available for free and open source?

User-built Signup and view all the answers

True or false: Intel DL Boost is available on 1st Gen Intel Xeon Scalable processors.

False Signup and view all the answers

What is the communication overhead of GPUs?

PCIe Signup and view all the answers

What can give a 3x performance improvement?

Intel optimized libraries Signup and view all the answers

True or false: It is important to consider communication requirements when choosing a cloud instance for AI.

True Signup and view all the answers

What type of image is recommended for Intel processors?

Deep Learning Reference stack Signup and view all the answers

What are the three popular deep learning models?

CNN, RNN, and Transformers Signup and view all the answers

True or false: Using GPUs instead of CPUs for deep learning can reduce the latency of data transmission.

False Signup and view all the answers

What is the batch size usually like when training AI models?

Large Signup and view all the answers

How can latency be reduced if deploying a model at the edge?

By avoiding transmitting data to the cloud Signup and view all the answers

What type of instance is better to use when training AI models?

CPU Signup and view all the answers

What is the advantage of GPUs over CPUs for deep learning?

Higher performance Signup and view all the answers

What are the considerations when choosing the cloud instance for AI?

The characteristics of the model Signup and view all the answers

How many iterations does it usually take to train AI models?

Many Signup and view all the answers

What is the difference between mainstream optimization and Intel distributions?

Intel distributions are faster Signup and view all the answers

What is the Deep Learning Boost instruction set?

An instruction set that speeds up low-precision workloads Signup and view all the answers

Which provider offers instances with Deep Learning Boost instruction set by default?

AWS Signup and view all the answers

What type of instance is used for deep learning training?

Habana Gaudi Signup and view all the answers

What is the need for medium-sized topologies?

A slightly higher number of instance sizes Signup and view all the answers

What is the communication overhead of PCIe?

GPUs Signup and view all the answers

Study Notes

To get the best performance out of your Intel Xeon Scalable processors, you need to make sure you are using instances that have the Deep Learning Boost instruction set.
This instruction set speeds up low-precision workloads, so make sure to choose instances that have it.
There are a few different ways to do this, depending on the provider you are using.
Some providers, like AWS, offer instances that have the Deep Learning Boost instruction set by default.
Other providers, like Azure, allow you to create your own instances using either EC2 or SageMaker, both of which have the Deep Learning Boost instruction set.
Intel also offers ready-made containers that you can use to build your own applications that have the Deep Learning Boost instruction set.
Intel DL Boost is a feature available on 2nd and 3rd Gen Intel Xeon Scalable processors that can improve performance of certain workloads by compressing three instructions into one.
It is only available on 2nd and 3rd Gen Intel Xeon Scalable processors and requires the use of an instance with that hardware.
There are various sizes of instances available, with small to medium sizes offering four virtual CPUs and up to 64 virtual CPUs.
Before choosing the cloud instance for AI, you must consider the characteristics of the model you want to train, including the compute, memory, and communication requirements.
There are three popular deep learning models: the convolutional neural networks (CNN), the recurrent neural network (RNN), and transformers, and each has different requirements on resources, which impacts how you choose the cloud instance.
GPUs offer significant performance advantages over CPUs for deep learning, but the communication overhead of PCIe can be a bottleneck.
You must choose the instance that matches the workload requirements.
Data movement is expensive in terms of power, cost, and time.
If your model is small and you deploy the model at the edge, you can avoid transmitting data to the cloud and achieve much lower latency.

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Choosing the Best Instance – Anisha Gartia