Accelerate AI and Security Workloads
Is your company's infrastructure ready for expanding AI possibilities and growing security requirements?
Get Ready with Intel® Xeon® Processors
With Intel® Xeon® processors, you can accelerate AI-based solutions while keeping your data safe and secure. Ensure your infrastructure is ready for your plans with processors that increase performance, improve power efficiency, and control costs.
Strategize for the Future of AI
Artificial intelligence continues to be a hot topic of discussion across business, government, and society, making identifying AI innovations with real business utility challenging. Plan for success with Gartner’s research into generative AI trends and innovations.
AI Case Studies
Read more about accelerating AI workloads:
Accelerate AI Model Training in the Cloud
Creative technology studio, Gunpowder, accelerated ML model training with Google Cloud instances based on Intel® Xeon® processors to deliver stunning visuals of climate impact for the World Economic Forum.
Improving AI-Driven Content Recommendation Engines
Taboola improved the performance of their AI-driven content recommendation engines by optimizing their code to run on Intel Xeon processors more efficiently.
Security Case Studies
Read more about protecting business data against threats:
Protecting Critical Data During Processing
Swiss Re protects sensitive data in use by their analytics programs using Decentriq’s confidential computing platform built on Intel® Software Guard Extensions for a hardware-based security solution.
Hope for Justice Fights Modern Slavery
Confidential Computing aids in the fight to end modern slavery by protecting victim data while aiding investigations.
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Legal
Performance varies by use, configuration, and other factors. Your costs and results may vary. Learn more at intel.com/PerformanceIndex.
Gartner, Quick Answer: Who Is Responsible for Identity Threat Detection and Response, 2 March 2023, Rebecca Archambault, et. Al.
Gartner, Hype Cycle for Artificial Intelligence, 2022, 8 July 2022, Afraz Jaffri, Farhan Choudhary.
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