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NVIDIA GPUs - The Engine of Deep Learning

deep-learning.pngTraditional machine learning uses handwritten feature extraction and modality-specific machine learning algorithms to label images or recognize voices. However, this method has several drawbacks in both time-to-solution and accuracy.

Today’s advanced deep neural networks use algorithms, big data, and the computational power of the GPU to change this dynamic. Machines are now able to learn at a speed, accuracy, and scale that are driving true artificial intelligence and AI Computing.

Choose the Right NVIDIA Tesla Solution for You

All systems come with the following pre-installed software: Ubuntu 14.04, NVIDIA DIGITS 5 – Featuring Image Segmentation and DIGITS Model Store, NVIDIA® CUDA® Toolkit 8 with Pascal Architecture Support, NVIDIA CUDA® Deep Neural Network library (cuDNN) 5.1, Frameworks: Caffee, TensorFlow, Theano, Torch, and BIDMach


The Advantages of DIGITS

image-classification.jpgThe NVIDIA Deep Learning GPU Training System (DIGITS) simplifies common deep learning tasks such as managing data, designing and training neural networks on multi-GPU systems, monitoring performance in real time with advanced visualizations, and selecting the best performing model from the results browser for deployment.

DIGITS is completely interactive so that data scientists can focus on designing and training networks rather than programming and debugging.

DIGITS 5 Developer Platform

table-keyfeatures.jpgKoi Computers’ DIGITS 5 Developer Platform puts the power of deep learning into the hands of engineers and data scientists. DIGITS can be used to rapidly train the highly accurate deep neural network (DNNs) for image classification, segmentation and object detection tasks.

Our developer platform is configured with the latest NVIDIA deep learning technologies and the latest DIGITS Deep Learning GPU Training System, so data scientists can focus on designing and training networks right away.