Intel AI Solutions

Intel AI solutions are transforming the world of business, science, and society. Whether it's accelerating drug discovery, enhancing customer service, or optimizing supply chains, Intel AI solutions are enabling organizations to achieve more with less time and resources. In this blog post, we will explore some of the key features and benefits of Intel AI solutions, and how they can help you solve your most challenging problems.

Intel AI solutions are built on a comprehensive portfolio of hardware, software, and services that deliver performance, scalability, and ease of use. Intel AI solutions include:

Intel Xeon Scalable processors: The foundation of Intel AI solutions, these processors offer high-performance computing for diverse workloads, including deep learning, machine learning, and analytics. Intel Xeon Scalable processors support multiple frameworks and libraries, such as TensorFlow, PyTorch, and Intel oneAPI AI Analytics Toolkit, to enable faster development and deployment of AI applications.

Intel Optane persistent memory: This innovative technology provides large-capacity, high-speed, and persistent memory for data-intensive workloads. Intel Optane persistent memory enables faster data access and analysis, lower latency, and reduced power consumption. Intel Optane persistent memory can also be used as a cache or tiered storage to optimize the performance of SSDs and HDDs.

Intel FPGA: These programmable devices offer flexibility and customization for specific AI tasks, such as image processing, natural language processing, and computer vision. Intel FPGA can accelerate inference and training workloads by offloading them from the CPU or GPU. Intel FPGA can also be reconfigured on the fly to adapt to changing requirements and algorithms.

Intel Movidius VPU: These low-power devices are designed for edge computing and embedded applications, such as drones, cameras, and robots. Intel Movidius VPU can perform complex vision tasks, such as object detection, face recognition, and semantic segmentation, with high efficiency and low latency. Intel Movidius VPU can also run multiple neural networks simultaneously on a single device.

Intel DevCloud for the Edge: This cloud-based platform allows developers to test and prototype their AI applications on various Intel hardware devices, such as CPU, GPU, FPGA, and VPU. Intel DevCloud for the Edge provides access to pre-installed frameworks and tools, such as OpenVINO Toolkit, Intel Distribution of OpenVINO Toolkit, and Intel Neural Compute Stick 2. Intel DevCloud for the Edge also offers tutorials, samples, and documentation to help developers get started quickly.

Intel AI solutions are not only powerful and versatile but also easy to use and integrate. Intel AI solutions provide a unified software stack that simplifies the development and deployment of AI applications across different hardware platforms. The software stack includes:

Intel oneAPI: This cross-architecture programming model enables developers to write code once and run it on any Intel hardware device. Intel oneAPI supports multiple languages and paradigms, such as C++, Python, Data Parallel C++, and SYCL. Intel oneAPI also includes domain-specific toolkits for AI, HPC, IoT, rendering, and media.

Intel Distribution of OpenVINO Toolkit: This toolkit optimizes the performance of computer vision applications on various Intel hardware devices. Intel Distribution of OpenVINO Toolkit supports multiple frameworks and models, such as TensorFlow Lite, ONNX Runtime, OpenCV, and Open Model Zoo. Intel Distribution of OpenVINO Toolkit also provides tools for model conversion, optimization, validation, and deployment.

Intel oneAPI AI Analytics Toolkit: This toolkit accelerates the end-to-end workflow of data science and machine learning applications on various Intel hardware devices. Intel oneAPI AI Analytics Toolkit supports multiple frameworks and libraries, such as TensorFlow*, PyTorch*, scikit-learn*, XGBoost*, pandas*, NumPy*, SciPy*, Dask*, Modin*, Numba*, daal4py*, daal-tk*, Spark MLlib*, RAPIDS*, cuDF*, cuML*, cuGraph*, and more. Intel oneAPI AI Analytics Toolkit also provides tools for data ingestion, preprocessing, feature engineering, model training, evaluation, and deployment.

Intel AI solutions are not only powerful and versatile but also easy to use and integrate.