ABOF or ‘Accelerated Box of Flash’ Promises Powerful Computational Storage for Big Data Projects. DOE Announces $10M for AI Research for High Energy Physics. University of Vienna Researchers Demonstrate Quantum Processor With Photonic Circuits. Inspur and Northwestern University Improve Patient Outcomes Using AI and ML. Liqid and MemVerge Collaborate with Intel for Big Memory Computing Solutions. DOE to Provide $84M for New Research Involving Urban Integrated Field Laboratories. Offering its solutions to customers globally, Wave Computing has been named Frost & Sullivan’s 2018 “Machine Learning Industry Technology Innovation Leader,” and has been recognized by CIO Application Magazine’s as one of the “Top 25 Artificial Intelligence Providers.” The company’s vision is to “follow the data” and bring deep learning to customers’ data wherever it may be-from the datacenter to the edge of the cloud. is a Silicon Valley company that is revolutionizing artificial intelligence and deep learning with its dataflow-based solutions. This enables the company’s deep learning systems to provide high-performance, high-efficiency training and inferencing computing solutions that scale for any implementation. Wave Computing’s unique approach to accelerating deep learning is based upon harnessing dataflow technology to exploit data and model parallelisms present in convolutional and recurrent neural networks. With a strong position in a broad range of markets, MIPS CPUs power billions of products around the globe, and are supported by a broad ecosystem of commercial and open source software, operating systems and tools.Ībout Wave Computing’s Dataflow Technology MIPS leads the industry with Multi-Threading capabilities for optimal application performance and efficiency. The MIPS family of CPU IP is a comprehensive portfolio of low-power, high-efficiency 32-/64-bit processor architectures and cores, ranging from the ultimate high-performance cores for high-end applications processors down to extremely small cores for deeply embedded microcontrollers. This agreement underlines the depth of MIPS’ focus on and commitment to the next generation of intelligent applications.” Moreover, the efficiency and extensibility of the MIPS processor architecture is well suited to deep learning and AI. “MIPS leads the world of 64-bit embedded cores and our Multi-Threading technologies set us apart from others. “Wave Computing is revolutionizing AI with its deep learning solutions, and we are pleased they have selected MIPS to enable their next-generation systems,” said Dado Banatao, Chairman of the Board for MIPS Technologies and Managing Partner at Tallwood Venture Capital. Additionally, our development teams will be able to leverage the well-established MIPS ecosystem and development tool environments, which are well suited for our AI engineering needs.” “With MIPS’s technology in our arsenal, we will extend the dataflow revolution in AI from multi-rack super computers to the edge without the communication and synchronization bottlenecks that plague traditional heterogeneous offerings. “The combination of our revolutionary dataflow architecture with the latest MIPS 64-bit Multi-Threaded core will be another technology game changer from Wave,” said Derek Meyer, CEO of Wave Computing. Wave will use the MIPS core in its next generation of Dataflow Processing Unit (DPU) chips that will ship in Wave’s future deep learning systems to handle device control functions including management of the real-time operating system (RTOS) and system-on-chip (SoC) subsystem. 
Since 1987 - Covering the Fastest Computers in the World and the People Who Run ThemĬAMPBELL, Calif., MaWave Computing, a Silicon Valley company that is revolutionizing artificial intelligence (AI) and deep learning with its dataflow-based solutions, announced today that it has selected a 64-bit Multi-Threaded processor core from MIPS Technologies for future AI solutions.
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