Bitfusion works with the hardware and software stack of AI/ML environments and applications. In bullet form, this stack might look like the following:

  • Application (often Python)
  • Framework (examples include TensorFlow and PyTorch)
  • AI/ML and other libraries (examples include CuDNN, CUBLAS, CUDA runtime driver)
  • CUDA driver (libcuda.so)
  • Hardware driver (NVIDIA driver, nvidia.ko. provides an interface, on Linux, called Resource Manager)
  • OS
  • GPU (example: NVIDIA T4)

This page discusses the versions, models, and products that are compatible with Bitfusion.

Frameworks

  • Tensorflow. In general, you can choose any version of TensorFlow as long as it works with a supported version of CUDA. The most heavily tested versions are  1.13, 1.14, and 2.3  (with Bitfusion 2.5.x).
  • TensorRT. In general, you can choose any version of TensorRT as long as it works with a supported version of CUDA.
  • PyTorch. In general, you can choose any version of PyTorch as long as it works with a supported version of CUDA. The most heavily tested versions are 0.9 and 1.5 (with Bitfusion 2.5.x).

Libraries

  • CuDNN. In general, you can choose any version of CuDNN as long as it works with a supported version of CUDA. Most heavily tested are various 7.x versions. 
  • Other Libraries. For the most part, the versions of all other libraries, are dictated by the version of the framework and CUDA.  The list is lengthy, dynamic, and cannot be maintained here. Please contact support if you experience any issues.

CUDA Driver

  • CUDA Toolkit. Bitfusion 2.5.x supports CUDA 9.2, 10.0, 10.2 and 11.0. Bitfusion versions prior to 2.5.x support CUDA 9.2, 10.0, 10.2.

NVIDIA Driver

In general, NVIDIA drivers support concurrent and previous versions of CUDA.  Bitfusion 2.5.x supports NVIDIA drivers up to 450.

Operating Systems

vSphere Bitfusion 2.5.0

  • Ubuntu 16.04
  • Ubuntu 18.04
  • Ubuntu 20.04
  • CentOS 7.0
  • CentOS 8.0
  • RHEL 7.4 and higher minor versions

Earlier Versions

  • Ubuntu 16.04
  • Ubuntu 18.04
  • CentOS 7.0
  • RHEL 7.4 and higher minor versions

GPUs

Bitfusion has general support for datacenter class, CUDA-supporting, NVIDIA GPUs, which qualify for DirectPath I/O on ESXi. The GPUs’ actively tested with Bitfusion:

  • P40
  • V100
  • T4
  • A100
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