Wave’s Compute Appliance for Machine Learning
Wave Computing’s revolutionary new compute appliance is a high-speed machine learning solution for data center-based training, delivering up to 1000x the performance for neural network training. This provides faster results and improved accuracy for data-driven business applications.
Machine learning is redefining the way that enterprises do business, enabling organizations to solve complex business problems with support from artificial intelligence (AI) and deep learning. Wave’s new compute appliance leverages the company’s patented dataflow architecture, which eliminates the need for a central processing unit (CPU) or graphic processing unit (GPU), removing the typical performance and scalability bottlenecks found with traditional deep learning solutions.
The Wave compute appliance comes in a 3U “plug & play” form factor that easily fits into existing data center environments. The highly-scalable compute appliance initially supports TensorFlow, and can support a range of frameworks including the Microsoft Cognitive Toolkit (CNTK), MXNet and more. Wave Computing provides all supporting software, tools and dataflow agent libraries.