Intel and Altera Unveil AI Solutions for Embedded World

Intel and Altera, an Intel Company, have launched a range of edge-optimized processors, FPGAs, and programmable solutions that bring powerful AI capabilities to edge computing. These products are designed to cater to various industries including retail, healthcare, industrial, automotive, defense, and aerospace. The new series of processors, including the Intel Core Ultra, Intel Core, and Intel Atom processors, as well as the discrete Intel Arc graphics processing units (GPUs), will enable faster and smarter decision-making through on-premise edge computing.

According to Dan Rodriguez, Intel’s corporate vice president and general manager of Network and Edge Solutions Group, these new processors and GPUs will help businesses seamlessly integrate AI into their compute, media, and graphics workloads. With Intel’s extensive experience in edge AI and a wide range of edge-ready silicon and software, customers can deliver AI exactly where it’s needed for better business outcomes.

The Intel Core Ultra processors for edge offer up to 5.02 times better image classification inference performance compared to 14th Gen Intel Core desktop processors. These processors combine the Intel Arc GPU and a neural processing unit (NPU) with LGA socket flexibility into a simplified system-on-chip (SoC). They are designed to support generative AI (GenAI) and demanding graphics workloads in various industries such as retail, education, smart cities, and industrial settings.

The Intel Core processors for edge combine the GPU power of 13th Gen Intel Core mobile processors with LGA socket flexibility to prioritize system scalability and speed to deployment. This series of processors optimized for edge computing offers up to 2.57 times greater graphics performance compared to 13th Gen Intel Core desktop processors.

The Intel Atom processors x7000C Series deliver increased processor base frequency in up to eight Efficient-cores, enabling exceptional packet processing throughput for enterprise networking and telecommunications devices. These processors also support built-in deep learning inference capabilities to detect zero-day threats and boost packet and control plane processing.

For industrial and manufacturing applications, the Intel Atom processors x7000RE Series offer built-in deep learning inference capabilities and up to 32 graphics execution units. These ruggedized processors support fanless designs and provide enhanced image classification performance compared to previous generations.

In addition to the processors, Intel also introduced the Intel Arc GPU for Edge, which enhances performance and edge AI capabilities on legacy Intel Core systems. This discrete GPU provides accelerated AI, media, and graphics processing power while offering an open, standards-based software stack for flexibility in building high-performance AI applications and solutions.

Altera, on the other hand, announced updates to its FPGA portfolio, including the availability of Agilex 5 devices. These devices are designed to deliver high performance with lower power consumption and feature AI-infused fabric for improved computing capabilities in intelligent edge applications. Altera’s FPGA AI Suite allows developers to use popular AI frameworks and the Intel OpenVINO toolkit to create AI intellectual property (IP) blocks and easily integrate them into FPGA designs.

With these new processors, FPGAs, and associated solutions, Intel and Altera are empowering enterprises to leverage the vast amount of data generated at the edge. By deploying sophisticated embedded AI devices across various industries, businesses can streamline operations, improve customer satisfaction, and incorporate advanced visual workloads.

Background Information

---

About Intel:

Intel Corporation, a global technology leader, is for its semiconductor innovations that power computing and communication devices worldwide. As a pioneer in microprocessor technology, Intel has left an indelible mark on the evolution of computing with its processors that drive everything from PCs to data centers and beyond. With a history of advancements, Intel's relentless pursuit of innovation continues to shape the digital landscape, offering solutions that empower businesses and individuals to achieve new levels of productivity and connectivity.

  

Latest Articles about Intel

Technology Explained

---

Agilex: Agilex is a technology that is used in the computer industry to help streamline the development process. It is based on the Agile methodology, which is a set of principles that focus on delivering high-quality software quickly and efficiently. Agilex helps to break down complex tasks into smaller, more manageable pieces, allowing developers to work on each piece independently. This helps to reduce the time it takes to develop a product, as well as improve the quality of the final product. Additionally, Agilex helps to reduce the risk of errors and bugs, as well as improve communication between developers and stakeholders. By using Agilex, companies can create better products faster and with fewer resources.

Latest Articles about Agilex

---

FPGA: Field Programmable Gate Arrays (FPGAs) are a type of technology used in the computer industry. They are integrated circuits that can be programmed to perform specific tasks. FPGAs are used in a variety of applications, including digital signal processing, networking, and embedded systems. They are also used in the development of artificial intelligence and machine learning algorithms. FPGAs are advantageous because they can be reprogrammed to perform different tasks, allowing for greater flexibility and faster development times. Additionally, FPGAs are more energy efficient than traditional processors, making them ideal for applications that require low power consumption.

Latest Articles about FPGA

---

GPU: GPU stands for Graphics Processing Unit and is a specialized type of processor designed to handle graphics-intensive tasks. It is used in the computer industry to render images, videos, and 3D graphics. GPUs are used in gaming consoles, PCs, and mobile devices to provide a smooth and immersive gaming experience. They are also used in the medical field to create 3D models of organs and tissues, and in the automotive industry to create virtual prototypes of cars. GPUs are also used in the field of artificial intelligence to process large amounts of data and create complex models. GPUs are becoming increasingly important in the computer industry as they are able to process large amounts of data quickly and efficiently.

Latest Articles about GPU

---

NPU: NPU, or Neural Processing Unit, is a type of specialized processor that is designed to handle complex artificial intelligence tasks. It is inspired by the structure and function of the human brain, with the ability to process and analyze large amounts of data simultaneously. In the computer industry, NPU technology is being used in various applications such as speech recognition, image and video processing, and natural language processing. This allows computers to perform tasks that were previously only possible for humans, making them more efficient and intelligent. NPU technology is also being integrated into smartphones, self-driving cars, and other devices, making them smarter and more responsive to user needs. With the increasing demand for AI-driven technology, the use of NPU is expected to grow and revolutionize the way we interact with computers in the future.

Latest Articles about NPU

---

SoC: A System-on-Chip (SoC) is a highly integrated semiconductor device that encapsulates various electronic components, including processors, memory, input/output interfaces, and often specialized hardware components, all on a single chip. SoCs are designed to provide a complete computing system or subsystem within a single chip package, offering enhanced performance, power efficiency, and compactness. They are commonly used in a wide range of devices, from smartphones and tablets to embedded systems and IoT devices, streamlining hardware complexity and facilitating efficient integration of multiple functions onto a single chip.

Latest Articles about SoC