Perform complex computations and run AI efficiently at scale with your current skills and infrastructure enhanced with Intel® AI technologies and partner solutions. Over 70 percent of successful AI inference deployments in the data center already run on Intel.1
Turn your AI ambitions into reality by leveraging an unmatched range of open source and free tools, libraries, optimized software frameworks, and our AI hardware portfolio—including built-in accelerators—for end-to-end machine learning pipelines. Access market-ready innovations through our partner ecosystem to address the full spectrum of AI requirements, from edge to cloud, for a range of use cases.
Myth
CPU vs. GPU in AI Performance
What Is a CPU?
Constructed from millions of transistors, the CPU can have multiple processing cores and is commonly referred to as the brain of the computer. It is essential to all modern computing systems as it executes the commands and processes needed for your computer and operating system. The CPU is also important in determining how fast programs can run, from surfing the web to building spreadsheets.
What Is a GPU?
The GPU is a processor that is made up of many smaller and more specialized cores. By working together, the cores deliver massive performance when a processing task can be divided up and processed across many cores.
What Is the Difference Between a CPU and GPU?
CPUs and GPUs have different architectures and are built for different purposes.
The CPU is suited to a wide variety of workloads, especially those for which latency or per-core performance are important. A powerful execution engine, the CPU focuses its smaller number of cores on individual tasks and on getting things done quickly. This makes it uniquely well equipped for jobs ranging from serial computing to running databases.
GPUs began as specialized ASICs developed to accelerate specific 3D rendering tasks. Over time, these fixed-function engines became more programmable and more flexible. While graphics and the increasingly lifelike visuals of today’s top games remain their principal function, GPUs have evolved to become more general-purpose parallel processors as well, handling a growing range of applications.
Intel GPUs
Which is Right for Your Customer?
CPU vs. GPU
Choose a Topic:
kg CO2 Savings & Overall TCO Savings
20%
Higher Performance/Watt
50%
Higher Performance
75%
Higher Performance Across Key Workloads
40%
HPC Leadership
Higher Inference Throughput
75%
AI Leadership
Mainstream Compute Leadership
4th Gen Intel Xeon Processors Outperform the Competition
Central Processing Units (CPUs) and Graphics Processing Units (GPUs) are fundamental computing engines. But as computing demands evolve, it is not always clear what the differences are between CPUs and GPUs and which workloads are best suited to each. Knowing the role that each device plays is important when helping your customers choose the best AI application to meet their needs.
CPU vs. GPU: Choosing the Best Solution for Customer Needs
Intel® Xeon® Scalable processors feature the broadest and widest set of built-in accelerator engines for today’s most demanding workloads. Whether on-prem, in the cloud or at the edge, Intel® Accelerator Engines can help take your business to new heights, increasing application performance, reducing costs, and improving power efficiency.
Get the Most Built-In Accelerators Available
Introducing 4th Gen Intel® Xeon® Scalable processors, designed to accelerate performance across the fastest-growing workloads. These processors have the most built-in accelerators of any CPU on the market to help improve performance efficiency for emerging workloads, especially those powered by AI. In addition to performance improvements, 4th Gen Intel® Xeon® Scalable processors have advanced security technologies to help protect data in an ever-changing landscape of threats while unlocking new opportunities for business insights.
Scale, Optimize, and Leverage the Capabilities of AI
4th Gen Intel Xeon Scalable processors have the most built-in accelerators of any CPU on the market to improve performance in AI, data analytics, networking, storage, and HPC.
4th Gen Intel Xeon Scalable Processors with Built-In Accelerators
Intel® AMX significantly accelerates AI capabilities on 4th Gen Intel Xeon Scalable processors.
What Is Intel AMX?
Intel® AMX is a new built-in accelerator that improves the performance of deep-learning training and inference on the CPU and is ideal for workloads like natural-language processing, recommendation systems and image recognition.
Intel Advanced Matrix Extensions (Intel AMX)
Intel® AI Engines boost inference and training without additional hardware.
Intel® Advanced Matrix Extensions (Intel® AMX) significantly accelerates deep learning training and inference, ideal for workloads like natural language processing, recommendation systems and image recognition.
Intel® Advanced Vector Extensions 512 (Intel® AVX-512) can accelerate classical machine learning and other workloads in the end-to-end AI workflow, such as data prep.
Those Who Know Accelerate with Xeon
TD SYNNEX is proud to be the first distributor to bring Intel's groundbreaking Geti platform to our customers. With this offering, we empower businesses with the competitive advantage of advanced computing capabilities, enabling you to transform your customers' operations and achieve unprecedented levels of performance.
Computer Vision AI Models
Develop New Computer Vision AI Models in Days
Fast and agile model development features accelerate time to value for AI projects
With a simplified model development process, computer vision AI is now practical for many more applications
Tap the power of computer vision AI to increase process efficiency
Myth
Intel Geti software enables teams to rapidly develop AI models. Our intuitive computer vision solution reduces the time needed to build models by easing the complexities of model development and harnessing greater collaboration between teams. Most importantly, the Intel Geti platform unlocks faster time-to-value for digitalization initiatives with AI.
Rich Feature Set for Powerful Models
The Intel® Geti™ Platform Makes AI Better - From Data Labeling to Model Training and Export
What is the Intel® Geti™ Platform?
Changing Computer Vision AI Forever
Built-In Optimizations with OpenVINO
Maximize inference performance automatically and deploy your AI models across a wide range of Intel® architectures.
Task
Chaining
Combine multiple computer vision tasks to solve complex problems, boosting collaboration opportunities.
SDK Support for REST API
Simplify and automate the development pipeline, from data ingest to model export.
Active
Learning
Speed up model training and reduce sample bias with guided and predictive annotations for model training.
Guided
Annotations
Expedite and simplify data tagging with familiar drawing features and AI-assisted labeling.
Retail
Public Sector
Industrial & Manufacturing
Smart cities use digital solutions to create more efficient networks and services that benefit people and businesses.
Smart Cities
Learn about solutions that can take advantage of high-performance computing platforms to capture, monitor, and intelligently use video data from technology-equipped security appliances.
PMY* delivers a smart operating platform with Intel® technology for venues and events.
Learn how Megh Computing created a smart cities solution with a VAS (video analytics solution) to reduce false alarms and increase security.
Who it Works For
AI has the power to transform and create innovative business models that generate real value. Discover Intel® software solutions including the tools and technical resources you need to start building today.
An open-source toolkit that makes it easier to write once, deploy anywhere.
How it Works
At its core, Intel OpenVINO utilizes a two-step process: model optimization and inference.
Intel OpenVino, short for Open Visual Inference and Neural Network Optimization, is an advanced platform developed by Intel that enables accelerated deployment of artificial intelligence (AI) and computer vision solutions.
It provides a comprehensive set of tools, libraries, and optimized pre-trained models to help developers streamline the development and deployment of AI applications across a wide range of Intel hardware, including CPUs, GPUs, FPGAs, and VPUs.
Streamline AI Implementation with Intel OpenVINO