Cache Acceleration Software for Linux

Intel CAS accelerates Linux applications by caching active (hot) data to a local flash device inside servers. Intel CAS implements caching at the server level, using local high-performance flash media as the cache drive media within the application server, thus reducing storage latency. Intel CAS installs into the Linux operating system as a kernel module. The nature of the integration provides a cache solution that is transparent to users, applications, and your existing storage infrastructure. No storage migration or application changes are required.

Device Plugins Operator

Intel Device Plugins for Kubernetes is a collection of device plugins advertising Intel specific hardware resources to the kubelet. Currently the operator has basic support for the QAT, GPU, FPGA and SGX device plugins: it validates container image references and extends reported statuses.

Diagnostics Utility for Intel® oneAPI Toolkits

DSP Builder for Intel® FPGAs

DSP Builder for Intel® FPGAs is a design tool that helps developers create high-performance digital signal processing (DSP) applications on Intel FPGAs. It integrates with MATLAB®/Simulink® to streamline the development of FPGA-based DSP systems, allowing designers to model, simulate, and generate optimized hardware implementations for Intel FPGAs directly from high-level DSP algorithms.

Intel® 1 GbE Ethernet Network Controllers (igb)

Intel® Advisor

Intel® Advisor helps users with parallelism discovery.

Intel® C++ Compiler Classic

Intel® Cluster Checker

Intel® Configuration Detector for Linux

A Linux script that collects the hardware and software configuration of an x86 system without additional software installation.

Intel® Data Analytics Acceleration Library

Intel® Data Analytics Acceleration Library (Intel® DAAL) provides highly optimized machine learning and analytics building blocks covering all data analysis stages (preprocessing, transformation, analysis, modeling, and decision-making) and supports a choice of offline, streaming, and distributed analytics usage models. Intel DAAL takes full advantage of threading and vectorization and optimizes data ingestion and algorithmic compute together for highest performance. An open source version is also available for algorithmic transparency and community contributions. Intel DAAL is installed standalone and as part of the following suite: Intel® Parallel Studio XE 2017 Composer, Professional, or Cluster Edition.

Intel® Distribution for Python

The Intel® Distribution for Python* is a performance-oriented distribution that delivers robust solutions for faster performance from your Python* applications, in an easy-to-access integrated package. The primary route to performance accelerates Python computational packages like NumPy/ SciPy/scikit-learn with powerful native Intel® Performance Libraries—such as Intel® Math Kernel Library, Intel® Threading Building Blocks, and Intel® Data Analytics Acceleration Library— by leveraging optimized algorithms, threading, and vectorization features. Alternate methods derive performance from access to LLVM-enabled JIT compiling in Numba* and Python to C compiling in Cython*. The distribution is compatible with pip and conda,and available for Windows*, OS X*, and Linux*.

Intel® Ethernet 10 Gigabit Adapters and Connections

Intel® Ethernet 500 Series Network Controllers

Intel® Ethernet 700 Series

Intel® Ethernet 810 Series

Intel® Ethernet 820 Series

Intel® Ethernet Adaptive Virtual Function

Intel® Ethernet Fabric Suite Basic Package

IntelEth-Basic.[OS Distribution]-x86_64.11.2.0.0.259 installation package installs the Intel® Ethernet Host Software components needed to set up compute, I/O, and Service nodes with needed tools.

Intel® Ethernet Fabric Suite FS Package

The IntelEth-FS.[OS Distribution]-x86_64.11.2.0.0.259 installation package provides the Intel® Ethernet Host Software package along with the Intel® Ethernet Fabric Suite FastFabric toolset.

Intel® Fortran Compiler Classic