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On this page
  • Instance Type Overview
  • Naming
  • Choosing an Instance Type
  • Instance Classes and Cores
  • Choosing a Good Instance Type
  • Multistep Workflows
  • Resources

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  1. Cloud Computing

General Information

PreviousCloud ComputingNextCloud Computing for Scientists

Last updated 8 months ago

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Instance Type Overview

Naming

AWS naming of instance types is broken down here:

Choosing an Instance Type

Question
Focus on this

Does the software utilize multiple cores?

mem2_ssd1_v2_x16

Is the software GPU optimized?

mem2_ssd1_gpu_x32

How much memory does the software use (per core)?

mem2_ssd1_v2_x16

How much disk space is needed for the software (per core)?

mem2_ssd1_v2_x16

Always use version 2 of an instance type!

mem2_ssd1_v2_x16

Instance Classes and Cores

Each class (like mem1) is scaled so that each core in an instance has access to the same amount of memory/disk space:

  • Example: mem1_ssd1_v2_x2:

    • 4 Gb total memory / 2 cores =

    • 2 Gb / Core

  • Example: mem1_ssd1_v2_x8:

    • 16 Gb total memory / 8 cores =

    • 2 Gb / core

Choosing a Good Instance Type

  • Scale usage/instance type according to usage statistics and dataset size

    • If it doesn't utilize all resources

      • Use a smaller instance type

    • Runs out of memory, or is slow

      • Consider using a larger instance type

Multistep Workflows

  • Each stage of a workflow is run by a different set of workers

  • Each stage can be customized in terms of instance type

Resources

To create a support ticket if there are technical issues:

  1. Go to the Help header (same section where Projects and Tools are) inside the platform

  2. Select "Contact Support"

  3. Fill in the Subject and Message to submit a support ticket.

Instance Types Documentation
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