Intel® Accelerator Engines
Intel® Accelerator Engines built into Intel® Xeon® Scalable processors are designed for complex, data-intensive use cases and help improve system performance, efficiency, and data security to drive business results.
Intel® Accelerator Engines for Demanding Workloads Help Enhance ROI
Intel® Accelerator Engines are integrated features in Intel® Xeon® Scalable processors1 that help boost performance, reduce costs, and improve power efficiency for today’s most demanding workloads in the data center, in the cloud, and at the edge.
Take advantage of these built-in workload acceleration features to deliver more performance per dollar and per watt without the need for specialized hardware. Realize the cumulative business benefits of Intel® Accelerator Engines to simplify development, accelerate insights and innovation, reduce energy consumption, enable cost savings, and stay secure.
Intel® Xeon® Scalable Processors, Accelerated
Learn how purpose-built, integrated Intel® Accelerator Engines on Intel® Xeon® Scalable processors support today’s most demanding workloads, spanning AI, security, HPC, networking, analytics, and storage.
Boost end-to-end AI and data science performance without additional hardware to help improve ROI for natural language processing, machine learning, machine vision, and other core AI inference and modeling workloads.
Serve more users without slowing down your content delivery networks (CDNs) and web servers with accelerated cryptography and data compression.
Elevate performance for the most critical HPC workloads in financial services, manufacturing, engineering, life sciences, research, media production, and other high performance computing applications.
Process more transactions and accelerate query throughput to deliver deep insights in near-real time and support better decision-making.
Accelerate and drive innovation while protecting and preserving data confidentiality and integrity.
Enable greater storage efficiency, improve I/O bandwidth and workload performance, and reduce latency with lower power consumption.