Accelerate Your AI Journey with Intel
Seamlessly build and deploy AI applications at scale. It all starts on a foundation of Intel® Xeon® Scalable processors, accelerated with Intel-optimized AI software.
Simplify AI with Intel® Artificial Intelligence Technologies
Today, implementing artificial intelligence is essential to better serving customers and unlocking new business value. 1 But deploying the infrastructure needed to support AI at scale remains a challenge for many enterprises, given the complexity of achieving high performance and accuracy - all while managing costs and utilization.
With Intel® architecture, you can deploy applications into production both quickly and cost-effectively. And with access to Intel’s global partner ecosystem, you’ll find expertise and solutions to suit your every AI need.
Software
for AI
Acceleration
Get the most from scikit-learn, NumPy, SciPy, TensorFlow, PyTorch, OpenVINO & more popular AI software optimized for Intel® architectures. 2 3
See our software guide
AI Ecosystem Solutions
Get to market quickly with AI solutions that span AI workloads and industries from Intel’s global ecosystem.
Explore our ecosystem
Flexible Hardware Portfolio
Accelerate with purpose. Intel’s flexible edge-to-cloud AI portfolio meets your evolving power, performance, and memory needs.
See AI hardware
What's New
Workstations Powered by Intel
Coffee Chat - Transforming Industries with Intel hardware and software. Peter Baker, along with special industry guests, will discuss how Intel is leading the AI transformation in the cloud, within data centers and at the edge.
October 30, 2020
Oct 1, 2020
Find AI Solutions
By Industry
Find optimized AI solutions by industry vertical, including healthcare, retail, finance, manufacturing, and more.
By AI Use Case
Find optimized AI solutions by AI use case - such as anomaly detection, conversational bots, document analysis, and more.
Develop High Performance Data Science and AI
End-to-End Machine Learning Acceleration
Accelerated end-to-end data science, machine learning and AI workflows with optimized deep learning frameworks, a light-weight parallel data frame and high-performing Python* libraries part of Intel® AI Analytics Toolkit.
Take the Step from Analytics to AI
Scale your AI models to big data clusters for distributed training or for inference using Analytics Zoo, a unified platform for analytics and AI.
Generate Insights with Machine Learning
Achieve faster machine learning application performance and accelerate NumPy, SciPy, and scikit-learn using the Intel® Distribution for Python.
Develop Deep Learning Models
Make performance a priority with popular AI frameworks like TensorFlow & PyTorch optimized on Intel® architecture.
Accelerate Deep Learning Deployment
Quickly deploy optimized deep learning inference using OpenVINO for computer vision, audio, speech, language, recommendation systems, and more usages. 2
Deploy AI Anywhere
In the Cloud or On-Premise
Build and deploy AI applications at scale on Intel® architecture through a cloud service provider or in your data center.
At the Edge
Intel is enabling intelligent IoT, supporting enterprises that are moving to the edge so they can capture more data, analyze it faster, and act on it sooner.
On Your Workstation
Harness a new class of computing performance and AI acceleration for stationary and mobile workstations with Intel® Xeon® and Intel® Core™ processors.
Partner with Intel
Join Our Ecosystem
Join Intel® AI Builders to get access to technical enablement resources, comarketing, and matchmaking opportunities that drive adoption of AI in the enterprise.
Accelerate Your Solution Design
Intel® Select Solutions for AI are optimized for real-world performance with benchmark-tested configurations built on validated Intel® architecture.
Start-Up Funding
Intel Capital invests in disruptive, innovative technologies that change how we live and work. Learn about the outstanding companies we’ve worked with in AI and other emerging areas.
Learn More about AI
产品和性能信息
英特尔® 技术可能需要支持的硬件、软件或服务激活。没有任何产品或组件能够做到绝对安全。您的成本和结果可能会有所不同。