HAIBAL Deep learning toolkit
The Deep Learning Development Module (DLDM) provides hundreds of features for developing and deploying deep learning applications.
This version is made for LabVIEW 2022 (64 bit)
LabVIEW 64 2020 version β’ Releases note
For another version please contact us
HAIBAL CUDA installer
Install NVIDIA CUDA and CUDNN to use your GPU with the
HAIBAL toolkit.
This version is made for LabVIEW 2022 (64 bit)
For another version please contact us
Frequently asked questions
Which layers are supported by the toolkit?
HAIBAL offers all existing layers and is constantly updated.
The detail of the available layers is available here.
Does the toolkit support GPU acceleration?
Yes, the training and inferences can be accelerated on Nvidia GPUs.
Do we need Python Language installation to run the toolkit ?
No. HAIBAL deep learning toolkit is fully powered in LabVIEW. We worked more than 2 years to rewrite all the layers and functionalities in native LabVIEW.Β
What type of hardware is supported by the toolkit ?
HAIBAL supports x86 based PC Windows OS for training and inference (a Linux version is under development).
FPGAs, AMD GPUs, intel GPUs will be integrate in the future (also under development).
Which version of LabVIEW is supported by the toolkit ?
The latest version of the toolkit supports 64-bit versions of LabVIEWΒ 2020 and LabVIEW 2022. For a specific version please contact us .
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