Delivery of AI services became increasingly important for today’s enterprises and deep learning deployments became strategically important for many businesses. The ability to leverage AI for predictions, classifications and analytics make a huge difference for any business with access to large and complex and ever growing data sources. Deep learning training and inference at the core of delivering such AI services. The ability to achieve short training times for Deep Learning projects is key, especially since deep and complex neural networks with massive data sets can take months to train if you don’t have access to the right hardware resources. phoenixNAP bare metal servers with multiple NVIDIA Tesla V100 GPU’s put thousands of CUDA cores at your data scientist’s fingertips. This innovative infrastructure with use of popular frameworks like TensorFlow, CNTK, Caffe, Keras, PyTorch, Theano and others will enable achieving much shorter training speeds vs. any deployments with general purpose CPU’s or even older architecture and generations GPU’s. On top of that our Tesla V100 and P40 GPU’s offer excellent support for inference deployments so you can really put to work all the training models and achieve great performance and cost savings for your AI production workloads.