Can I use the BizonBOX for GPGPU (general-purpose computing on graphics processing units), for example, for deep neural networks?

Yes, you can run any CUDA and OpenCL applications on the BizonBOX.
All CUDA libraries and frameworks like Tensorflow, Theano, Torch, Caffe, and CUDNN are supported.

Here is a feedback e-mail from one of our customers who is using the Titan X BizonBOX bundle:

"For future queries, we found that we can get >30x acceleration over CPU for our deep convolutional neural nets. Common is to train and test deep learning models on GPU’s because it is much faster.

We used CUDA-TORCH libraries and had no problems getting the same speeds with the eGPU as if we were connected to our GPU server."

The optimal configuration for GPGPU on macOS is the Titan X BizonBOX bundle:

The optimal configuration for GPGPU on Windows is the GTX 1080 Ti BizonBOX bundle:

Have more questions? Submit a request



Article is closed for comments.