Wave Computing to Exhibit its Dataflow Technology for Deep Learning at NIPS
CAMPBELL, Calif., November 28, 2017 — Wave Computing™, the Silicon Valley start-up that is revolutionizing artificial intelligence and deep learning with its dataflow-based solutions, today announced it is exhibiting at the Conference and Workshop on Neural Information Processing Systems (NIPS), the international machine learning and computational neuroscience conference, in Long Beach, California.
Wave Computing will be showcasing its deep learning solutions for the datacenter and on-premise environments, which are ideal for use cases ranging from Natural Language Processing to Image Analysis and more. The company’s solutions are based upon a novel dataflow architecture, which eliminates the need for CPUs and co-processors, such as GPUs and FPGAs, making it capable of delivering hundreds of times the performance and enhanced scalability. Wave Computing will also be discussing its Early Access Program, which provides qualified data scientists and developers with direct access to the company’s compute appliance prototypes.
Date: December 4-9, 2017
Location: Long Beach Convention Center – Booth #446
Time: 8:00 a.m. to 6:00 p.m.
About Wave Computing
Wave Computing, Inc. is the Silicon Valley start-up that is revolutionizing machine learning with its roadmap of WaveFlow™ compute appliances. The company’s solutions leverage its native dataflow technology to outperform machine learning products available today. Wave Computing, one of CIO Application Magazine’s Top 25 Artificial Intelligence Providers, is offering its solutions to customers globally.
Wave Computing and WaveFlow are trademarks of Wave Computing, Inc. All other trademarks are used for identification purposes only and are the property of their respective owners.
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