Cloud Development Tools
To build cloud solutions, you need a variety of tools. Explore resources for optimization and open source platforms tuned for Intel® hardware and cloud accelerators.
Cloud Optimization Tools
Quickly and easily capture system health, hardware configuration, and software profile via static and dynamic analysis.
A system-wide profiler combining multiple sampling profilers to produce unified visualization of what your CPU is spending time on.
Find and fix performance bottlenecks quickly and realize all the value of your hardware.
Build and deploy Intel®-optimized solutions that accelerate developer velocity on leading cloud providers, including Amazon Web Services* (AWS), Microsoft Azure*, and Google Cloud Platform* service.
Reduce costs and improve performance on existing infrastructure by analyzing a range of cloud workloads. Obtain recommendations for optimization tuning or platform and service combinations offered by the cloud service provider (CSP) to maximize your cloud investment.
Automate and scale AI faster with ready-to-use open source machine learning pipelines that can run on any infrastructure. Use your entire AI ecosystem from one launchpad.
This automated approach to cloud migrations driven by machine learning learns how your applications interconnect and identifies which applications to migrate first and which out-of-date apps you should remove.
Deploy high-performance deep learning inference with ease.
Develop performant, data-centric applications across Intel CPUs, GPUs, and FPGAs with this foundational toolset.
Build, analyze, and scale applications across shared- and distributed-memory computing systems.
Accelerate end-to-end data science and machine learning pipelines using Python* tools and frameworks.
Open Source & Cloud Software Optimized for Intel
Train, architect, and validate deep neural networks.
Find the best container for your cloud development needs.
Find AI solutions optimized by Intel on Amazon Web Services* (AWS), Microsoft Azure*, and Google Cloud Platform* service.
Open Source Projects
标题
Network Resources Injector 是一款 Kubernetes 动态准入控制器应用程序，提供通过自定义网络资源的请求和限制来修补 Kubernetes Pod 规范的功能。
In Kubernetes* (as of v1.18), CPU and Memory are the only first class resources managed by Kubernetes with the native CPU manager.
Accelerate compute-intensive workloads for security, encryption, authentication and compression with Intel® QuickAssist Technology (Intel® QAT), orchestrated by Kubernetes.
Intel PMEM-CSI is a CSI storage driver for container orchestrators like Kubernetes. It makes local persistent memory (PMEM) available as a filesystem volume to container applications.
In the past, using FPGAs has required specialist programming skills, including a good understanding of how the hardware works, to configure each accelerator.
Kata Containers is a novel implementation of a lightweight virtual machine that seamlessly integrates within the container ecosystem. Kata Containers are as light and fast as containers and integrate.
Bonding provides a method for aggregating multiple network interfaces into a single logical interface. According to the 802.3ad specification, Linux Bonding drivers provides various
Telemetry Aware Scheduling (TAS) makes telemetry data available to scheduling and descheduling decisions in Kubernetes. Through a user defined policy, TAS enables rule based decisions on pod placement
The GPU device plugin for Kubernetes supports Intel GVT-d device passthrough and acceleration, supporting GPUs of the following hardware families: Integrated GPUs within Intel Core processors Integrat
Kubernetes is typically used to run workloads of production web applications at massive scale. While NFV control plane functions are similar to the usual Kubernetes workloads, data plane functions dif
Intel contributed the Multus Container Network Interface (CNI) device plugin. This plugin that can be used to create multiple network interfaces for pods in Kubernetes.
This One Operator is a Kubernetes custom controller whose goal is to serve the installation and lifecycle management of Intel device plugins for Kubernetes.
Intel® Software Guard Extensions (Intel® SGX) offers hardware-based memory encryption that isolates specific application code and data in memory.
Network Resources Injector is a Kubernetes Dynamic Admission Controller app that provides functionality of patching Kubernetes pod specifications with requests and limits of custom network resources.
Enables power-efficient, cost-effective visual cloud solution for the emerging AI market for inference and media analytics applications at the Edge.
Userspace CNI is a Container Network Interface (CNI) plugin designed to implement userspace networking (as opposed to kernel space networking).
Cloud Technologies & Accelerators
Programmable network devices intelligently manage system-level resources by securely accelerating networking and storage infrastructure functions in a data center.
This programmable network adapter card has programmable accelerators and Ethernet connectivity can accelerate infrastructure applications running on the host.
