OpenVINO is a single toolkit, optimized for Intel hardware, that the data scientist and AI software developer can use for quickly developing high-performance applications that employ neural network inference and deep learning to emulate human vision over various platforms. “This toolkit supports heterogeneous execution across CPUs and computer vision accelerators including GPUs, Intel® Movidius™ hardware, and FPGAs.”
Industry Perspectives
New, Open DPC++ Extensions Complement SYCL and C++
In this guest article, our friends at Intel discuss how accelerated computing has diversified over the past several years given advances in CPU, GPU, FPGA, and AI technologies. This innovation drives the need for an open and cross-platform language that allows developers to realize the potential of new hardware, minimizes development cost and complexity, and maximizes reuse of their software investments. [READ MORE…]
White Papers
Data Center Transformation: Why a Workload-Driven and Scalable Architecture Matters
In this whitepaper QCT (Quanta Cloud Technology) highlights Data Center Transformation: Why a Workload-Driven and Scalable Architecture Matters. The company is offering its QCT Platform on Demand (QCT POD) solution that empowers enterprises to kickstart their transformation journey. It combines advanced technology with a unique user experience to help enterprises reach better performance and gain more insights. With flexibility and scalability, QCT POD enables enterprises to address a broader range of HPC, Deep Learning, and Data Analytic demands that fulfill various applications.
Featured Job
PhD scholarship in GPU processing for Super Resolution Ultrasound Imaging
Copenhagen
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