Wave Computing was founded with the vision of delivering deep learning computers with game-changing computational performance and energy efficiency. Their objective is to enable businesses to analyze complex data in real-time with more accurate results through a fluid discovery and improvement in Deep Neural Network (DNN) development and training with our family of computers.
Wave developed a novel Dataflow Processing Unit (DPU) architecture as part of a strategy to natively support a new wave of dataflow model based deep learning frameworks such as Google’s TensorFlow and Microsoft’s CNTK.
Wave’s family of deep learning computers achieves its best-in-class DNN training and inference performance through its native support of dataflow model based deep learning frameworks, its CPU-less high bandwidth shared memory architecture, and DPU’s 16,000+ parallel processing elements power and massive memory bandwidth. This results in a family of computers that delivers more than 10x improvement in compute performance for DNN training and more than 100x improvement in performance for DNN inference.
They have a custom chip for accelerating the TensorFlow algorithm Google developed and designed its own ASIC to run.
Brian Wang is a Futurist Thought Leader and a popular Science blogger with 1 million readers per month. His blog Nextbigfuture.com is ranked #1 Science News Blog. It covers many disruptive technology and trends including Space, Robotics, Artificial Intelligence, Medicine, Anti-aging Biotechnology, and Nanotechnology.
Known for identifying cutting edge technologies, he is currently a Co-Founder of a startup and fundraiser for high potential early-stage companies. He is the Head of Research for Allocations for deep technology investments and an Angel Investor at Space Angels.
A frequent speaker at corporations, he has been a TEDx speaker, a Singularity University speaker and guest at numerous interviews for radio and podcasts. He is open to public speaking and advising engagements.