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An Introduction to vSphere Bitfusion

vSphere Bitfusion decouples physical resources from servers within an environment. The platform can share GPUs in a virtualized infrastructure, as a pool of network-accessible resources, rather than isolated resources per server. Bitfusion works across AI frameworks, clouds, networks, and in environments such as virtual machines, containers, and notebooks. And Bitfusion stands ready to carry virtualization forward as new hardware accelerators are introduced.

Latest Content

Bitfusion Compatibility and Interoperability
December 08, 2020
Provides Bitfusion compatibility details on driver &library versions, ML frameworks versions, operating systems, and hardware.

Solution

  • AI/ML
  • Application Acceleration
  • Modern Applications

Type

  • Document

Level

  • Intermediate

Category

  • Deployment Considerations

Product

  • vSphere
  • vSphere 6.5
  • vSphere 6.7
  • vSphere 7

Technology

  • Bitfusion

Phase

  • Design
  • Deploy
Running Multiple Applications on One GPU with vSphere Bitfusion
November 12, 2020
Describes how Bitfusion can help you achieve the most efficient use of GPUs by partitioning its memory and running multiple concurrent applications, one in each partition. VMware vSphere Bitfusion also allows you do this while accessing the GPUs from remote servers.

Solution

  • AI/ML

Type

  • Blog

Level

  • Intermediate

Category

  • Best Practice
  • Proof of Concept

Product

  • vSphere
  • vSphere 6.7
  • vSphere 7

Technology

  • Bitfusion

Phase

  • Deploy
  • Optimize
Bitfusion Client Service – The Bash in the Rue Morgue
November 11, 2020
Create a Bitfusion Client service; run ML applications on VMs with pre-allocated remote GPUs for acceleration; eliminate need to invoke Bitfusion on the command line

Solution

  • AI/ML
  • Application Acceleration

Type

  • Blog

Level

  • Intermediate

Category

  • Activity Path

Product

  • vSphere
  • vSphere 6.7
  • vSphere 7

Technology

  • Bitfusion

Phase

  • Design
An Introduction to vSphere Bitfusion
November 11, 2020
This video details how vSphere Bitfusion helps to remote GPU devices for efficient use for AI/ML applications.

Solution

  • AI/ML

Type

  • Video

Level

  • Intermediate

Category

  • Feature Walk-through

Product

  • vSphere

Technology

  • Bitfusion
Bitfusion Jupyter Integration—It’s Full of Stars
November 10, 2020
Instructions and example to create a Bitfusion kernel for Jupyter Notebooks. Run your AI/ML application with remote access to GPUs for acceleration using Bitfusion technology inside Jupyter

Solution

  • AI/ML

Type

  • Blog

Level

  • Intermediate

Category

  • Activity Path
  • Best Practice

Product

  • vSphere
  • vSphere 6.7
  • vSphere 7

Technology

  • Bitfusion

Phase

  • Deploy
AI/ML, vSphere Bitfusion, and Docker Containers—A Sparkling Refreshment for Modern Apps
November 10, 2020
Instructions and example Dockerfile to run Bitfusion client software and ML/AI applications in a docker container accelerated by remote GPUs from Bitfusion servers.

Solution

  • AI/ML
  • Application Acceleration
  • Modern Applications

Type

  • Blog

Level

  • Intermediate

Category

  • Activity Path
  • Best Practice

Product

  • vSphere
  • vSphere 6.7
  • vSphere 7

Technology

  • Bitfusion

Phase

  • Deploy
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