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MediaTek dijo que está diseñando un chip basado en ARM para las computadoras portátiles con tecnología de inteligencia artificial de Microsoft

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Gigante taiwanés del diseño de chips mediateca se esta desarrollando brazo– El chip de computadora personal que se ejecutará. microsoft Sistema operativo Windows, según tres personas familiarizadas con el asunto.

El mes pasado, Microsoft presentó una nueva generación de computadoras portátiles con chips diseñados con tecnología Arm Holdings, que brindan suficiente energía para ejecutar aplicaciones de inteligencia artificial que, según los ejecutivos, eran el futuro de la informática de consumo. El chip MediaTek está orientado a este esfuerzo.

Planes de empresas de software específicos manzana que lleva unos cuatro años lanzando sus propios chips basados ​​en Arm para ordenadores Mac. La decisión de Microsoft de mejorar ventanas Arm podría amenazar el dominio global de larga data de Intel Computadora mercado.

MediaTek y Microsoft declinaron hacer comentarios.

Las acciones de MediaTek que cotizan en Taiwán cerraron con un alza del 2,4 por ciento el miércoles, superando el aumento del 1,2 por ciento del índice más amplio.

El lanzamiento del chip para PC MediaTek está previsto para finales del próximo año Qualcomm El acuerdo exclusivo para suministrar chips para portátiles ha expirado, dijeron dos de las personas. El chip se basa en diseños Arm disponibles en el mercado, lo que puede acelerar significativamente el proceso de desarrollo, ya que se necesita menos trabajo de diseño utilizando componentes de chip probados y disponibles en el mercado.

No quedó inmediatamente claro si Microsoft había aprobado el chip de PC de MediaTek para copiloto + Software de Windows.

Los ejecutivos de Arm dijeron que uno de sus clientes utilizó componentes disponibles en el mercado para construir un chip en casi nueve meses para un diseño ya completado, lo que no es el caso de MediaTek. Para las empresas con experiencia en diseño de chips, los chips avanzados suelen tardar más de un año en construirse y probarse, dependiendo de la complejidad.

En 2016, Microsoft nombró a Qualcomm para liderar la adaptación de Windows a la arquitectura central del procesador Arm, que durante mucho tiempo ha alimentado los teléfonos inteligentes y sus pequeñas baterías. Microsoft ha concedido a Qualcomm un acuerdo exclusivo para desarrollar conjuntos de chips compatibles con Windows basados ​​en Arm hasta 2024, informó Reuters el año pasado.

Y desde que finalizó el acuerdo de exclusividad de Qualcomm con Microsoft, otros diseñadores han optado por crear chips para ayudar a impulsar los últimos esfuerzos de Microsoft para utilizar diseños Arm. Durante décadas, los dispositivos Windows han dependido de la arquitectura de chip fabricada por Advanced Micro Devices e Intel.

Reuters informó el año pasado que Nvidia y AMD estaban trabajando en diseños de Arm para dispositivos Windows. Los esfuerzos de Nvidia por su propio chip para PC incluyen la ayuda de MediaTek, según una persona familiarizada con el asunto. Los esfuerzos de MediaTek para el chip de PC son independientes de su colaboración con Nvidia, dijeron dos de las personas.

© Thomson Reuters 2024


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Arm lanza el diseño de CPU y GPU más potente hasta el momento, dirigido a Qualcomm, Apple y x86: la GPU Cortex-X925 Core y la GPU Immortalis G925 ofrecen mejoras de rendimiento significativas con la aceleración de Windows en Arm

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brazo ha presentado sus primeros subsistemas informáticos para dispositivos de consumo, simplificando el proceso de desarrollo de procesadores para computadoras de escritorio, portátiles y tabletas con Android, Windows y Linux.

Basándose en las soluciones Total Compute existentes, la nueva plataforma CSS cliente de Arm incluye la última familia de CPU Armv9.2 Cortex (con CPU Cortex-X925 de alto rendimiento, CPU Cortex-A725 eficiente y CPU Cortex-A520 actualizada), Arm Immortalis y GPU Mali. y IP de interconexión CoreLink.

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Arm presenta nuevos diseños y herramientas de software que ayudan a los teléfonos inteligentes a realizar tareas de inteligencia artificial

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brazo Holdings presentó el miércoles nuevos esquemas para los chips y herramientas de software para ayudar a los teléfonos inteligentes a manejarlos. inteligencia artificial tareas, junto con cambios en la forma en que se implementan esos esquemas que podrían ayudar a acelerar su adopción.

La tecnología Arm ha impulsado el auge de los teléfonos inteligentes y está cada vez más presente en computadoras y centros de datos, a medida que los diseñadores de chips gravitan hacia la eficiencia energética.

Los teléfonos inteligentes siguen siendo el mercado individual más grande de Arm, y la compañía proporciona propiedad intelectual a sus principales competidores, como manzana Y Androide Proveedores de chips Qualcomm Y mediateca.

Arm lanzó el miércoles nuevos diseños de unidades centrales de procesamiento (CPU) que, según dijo, se adaptan mejor al trabajo de inteligencia artificial y nuevas unidades de procesamiento de gráficos (GPU). También proporcionará herramientas de software que facilitarán a los desarrolladores la ejecución de chatbots y otros códigos de IA en chips Arm.

Pero el mayor cambio es cómo se venden estos productos. En el pasado, Arm a menudo presentaba su tecnología como especificaciones o diseños abstractos que las empresas de chips necesitaban convertir en un modelo físico para un chip, una tarea nada fácil a la hora de decidir cómo organizar los miles de millones de transistores, los pequeños interruptores que componen los chips. .

Para nuevos productos, Arm ha trabajado con… Samsung Electrónica y Empresa de fabricación de semiconductores de Taiwán Proporcionar planos de diseño físico listos para la fabricación.

Arm no intenta competir con sus clientes, dijo Chris Bergey, vicepresidente senior y director general de la línea de negocios de clientes de Arm. En cambio, está tratando de ayudarlos a llegar al mercado más rápido mientras se concentra en otras partes cada vez más importantes de los chips de computadoras y teléfonos, como las unidades de procesamiento neuronal (NPU) que brindan el mejor rendimiento de IA.

Esta parte del chip se ha vuelto tan importante que Microsoft dijo que sus últimas funciones de inteligencia artificial no funcionarían sin ella. Actualmente, Arm no ofrece tecnología NPU para teléfonos y computadoras, y Bergey tiene como objetivo proporcionar más diseños “terminados y horneados” a los que las empresas de chips puedan conectar sus módulos NP.

“Estamos creando una plataforma a través de la cual estos aceleradores pueden vincularse muy estrechamente”, dijo Bergey.

© Thomson Reuters 2024


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Impresionante CPU de 256 núcleos que debutará en 2025 cuando el socio de Arm aumente la presión sobre AMD y Nvidia: Ampere claramente deja a Intel fuera de la ecuación, ya que afirma ser líder en CPU por delante de Epyc.

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Después de presentar el procesador AmpereOne en 2023 y presentar una potente CPU que contiene hasta 192 núcleos de un solo subproceso, la más alta de la industria, Ampere ahora se está preparando para una versión actualizada que llegará en 2025, y ha revelado

anual de la empresa Actualizar estrategia y hoja de ruta El vídeo (que puedes ver a continuación) revela más sobre sus planes futuros, incluido que el AmpereOne de próxima generación se construirá en un nodo de proceso de 3 nm (su predecesor era de 5 nm) y tendrá hasta 256 núcleos y memoria DDR5 de 12 canales.

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AMD teams up with Arm to unveil AI chip family that does preprocessing, inference and postprocessing on one silicon — but you will have to wait more than 12 months to get actual products

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AMD is introducing two new adaptive SoCs – Versal AI Edge Series Gen 2 for AI-driven embedded systems, and Versal Prime Series Gen 2 for classic embedded systems.

Multi-chip solutions typically come with significant overheads but single hardware architecture isn’t fully optimized for all three AI phases – preprocessing, AI inference, and postprocessing. 

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Microsoft’s new Arm laptops might surpass M3 MacBook Air performance

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Apple's M3 chip
Qualcomm’s latest Snapdragon X Elite CPU might be faster than Apple’s M3 chip.
Photo: Apple

Microsoft’s upcoming “AI PCs” might finally rival the performance of Apple’s latest MacBook Air. The new Arm-based Windows laptops, due for unveiling at a special event on May 20th, will use Qualcomm’s Snapdragon X Elite processors.

Reportedly, the new Qualcomm CPU is faster than the M3 MacBook Air in CPU tasks, AI acceleration, and app emulation.

New Arm-based Windows AI PCs could finally beat MacBook Air’s performance

After switching to Apple silicon in late 2020, MacBooks have delivered significantly better performance and efficiency than Windows laptops. The gap has only grown further since then.

In contrast, Microsoft has been claiming for years that its Arm-based Windows laptops will rival the performance of the latest MacBook Air but had little to show for it. This was primarily due to the Qualcomm Snapdragon CPU not delivering the expected performance.

Microsoft’s upcoming new Snapdragon X Elite-powered “AI PCs,” scheduled for a May 20th launch, might change this. The Verge claims the company is upbeat about the new CPU’s performance. It will have several demos showing its newest laptops beating the M3 MacBook Air in CPU, AI acceleration, and app emulations.

Apparently, the new PCs will provide faster app emulation than Rosetta 2. This should enable Windows apps designed for 64-bit CPUs to offer the same level of performance when running on Arm-based Windows laptops.

Surface Pro 10 and Surface Laptop 6 might also use Snapdragon X Elite CPU

Microsoft will reportedly switch to the Snapdragon X Elite CPU in its upcoming Surface Pro 10 and Surface Laptop 6 as well. The company has already unveiled the business variant of the two devices, which feature Intel Core Ultra processors. However, the consumer models will use a Qualcomm CPU.

Performance is just one of the many aspects of a laptop. The upcoming Snapdragon X Elite-powered Windows PCs might beat the M3 MacBook Air in some tasks. But it remains to be seen whether these devices will have a sleek design and long battery life as Apple’s offering.



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Google Chrome gets ARM optimization ahead of Snapdragon-powered Samsung Galaxy Book 4 Edge launch

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Google has announced that it has started rolling out the stable version of Google Chrome that is optimized for computers using ARM processors. More specifically, Google has hinted that it has made the newest version of its web browser that performs much faster and smoother on the upcoming Snapdragon X Elite processor.

This will benefit not only Samsung’s upcoming Galaxy Book 4 laptop with the Snapdragon X Elite chip but also existing Galaxy Book laptops with previous-generation Snapdragon chips.

ARM-optimized stable Google Chrome is available for download

Google Chrome Windows 11 ARM

The new Google Chrome version optimized for ARM and Snapdragon X Elite processor is now available for download. Google and Qualcomm have worked closely on this optimization, and they say that it offers “a dramatic performance improvement.” The ARM-optimized version of Google Chrome has been in beta testing since January 2024, and people who have tested it on computers with ARM-based processors and Windows 11 OS have reported significant performance improvements in terms of smoothness and speed.

Cristiano Amon, President and CEO of Qualcomm Inc., said, “The new version of Google Chrome will help cement Snapdragon X Elite’s role as the premier platform for Windows computing starting in mid-2024.” He added, “As we enter the era of the AI PC, we can’t wait to see Chrome shine by taking advantage of the powerful Snapdragon X Elite system.

Samsung confirmed after the announcement of the Snapdragon X Elite that it is making a device based on the new chipset. A few weeks ago, it was revealed that the device could be named the Galaxy Book 4 Edge. A recent report claimed that the Galaxy Book 4 Edge features a 14-inch screen, the Snapdragon X Elite, 16GB RAM, and 512GB SSD. It could be priced at €1,800 in Europe.

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Galaxy Book 4 Edge ARM chip confirmed by online benchmark

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Last updated: March 8th, 2024 at 12:51 UTC+01:00

Yesterday, we brought to light a trademark application pertaining to a new Samsung device called the Book 4 Edge. We thought about it for a bit and guessed that the Book 4 Edge might be Samsung’s first Windows 11 on ARM laptop. Now, an online benchmark is lending weight to our prediction.

The Galaxy Book 4 Edge by Samsung popped up in the online benchmark Geekbench earlier today (via Windows Latest). The laptop runs Windows 11 Home (64-bit) and is powered by the Snapdragon X Elite CPU and 16GB of RAM.

Qualcomm previously said it is looking for partners for its new Snapdragon X Elite chip, and this benchmark, if legitimate, confirms that Samsung is on the list.

Conversely, this benchmark also seems to indicate that Samsung is not yet ready to create its own Exynos ARM-based chip for laptops. And that’s probably a good thing at the moment, seeing how the company is busy proving that it sorted out Exynos for mobile phones.

Plenty of power for Windows on ARM devices

Synthetic benchmark scores for the Galaxy Book 4 Edge laptop powered by the Snapdragon X Elite chip look promising. The laptop scored 2,706 points in single-core and 12,646 points in multi-core tests in Geekbench 6.2.2.

Comparing these scores to Apple’s M1, M2, and M3 chips, it looks like the Snapdragon X Elite beats the first two but is outperformed by the M3. Apple M Pro chips excluded.

Of course, in practice, the M and Snapdragon X Elite chips run in very different environments, i.e., MacOS and Windows 11 on ARM, which means these benchmark figures might not necessarily say which chip performs better in the real world. Apple has optimized its M chips for MacOS very well, and it remains to be seen if we can say the same about the Snapdragon X Elite and Windows 11 on ARM.

Interestingly, recent rumors say Qualcomm’s new chip will also power the upcoming Microsoft Surface Laptop 6 and Surface Pro 10 tablet PC. Samsung’s Galaxy Book 4 Edge will inevitably compete with Microsoft’s Surface line, but whether this Book 4 Edge is a regular notebook, a 2-in-1 with a 360-degree hinge, or a tablet PC with a detachable keyboard is to be determined.

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Building a DIY ARM Network Attached Storage (NAS) solution

how to Build an ARM Network Attached Storage (NAS) solution

Jeff Geerling has published an interesting tutorial revealing how he has built a Network Attached Storage (NAS) system that balances power efficiency with strong performance can be a highly satisfying endeavor. At the heart of such a system, is a ASRock Rack ALTRAD8UD-1L2T Motherboard . This motherboard is energized by an Ampere CPU that boasts 32 cores, similar to those used in AWS Graviton processors. This combination is particularly appealing for those who are somewhat familiar with technology and are eager to construct a dependable NAS setup.

The ASRock Rack motherboard is designed with a “deep microATX” form factor, which provides more room for additional components than a standard microATX board. This extra space is crucial for a NAS that needs to be both expandable and efficient. The motherboard’s 2U cooler is tailor-made to keep the Ampere Ultra Q32 CPU at the ideal temperature, ensuring the system runs smoothly and lasts a long time.

When it comes to a NAS, the variety of ways it can connect to other devices is key to its success. The ASRock Rack motherboard comes with a suite of connectivity options, including PCIe slots for expansion cards, DDR4 RAM slots, SAS and Oculink connectors for different storage devices, M.2 slots for SSDs, and 10 Gigabit Ethernet ports for fast network connections. These features allow you to customize your NAS to meet your specific requirements, making sure it can grow and adapt as needed.

How to build an ARM NAS

The NAS will be equipped with 64GB of DDR4 ECC RAM, which helps maintain data accuracy by correcting errors. For the system’s boot drive, a Kioxia XG8 NVMe SSD has been chosen for its speed and dependability. The storage capacity is impressive, combining six 20TB Seagate Exos drives with four 8TB Samsung SSDs, offering over 150TB of total storage space.

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For the NAS’s housing, the HL5 chassis from 45Drives has been selected for its exceptional quality. Although it comes at a premium, the chassis is expected to provide lasting durability, making it a worthwhile investment. The motherboard, while intended for enterprise use, is a cost-effective option when compared to typical enterprise solutions, offering a good balance between price and performance.

The installation begins with mounting the motherboard inside the HL5 chassis. Next, you’ll connect the power supply, which is essential for providing consistent power to all the components. Then, you install the RAM and the cooling solutions, including the 2U cooler for the CPU.

Once the system is powered on for the first time, it’s crucial to troubleshoot to ensure that the RAM is detected properly and that the system boots without issues. With these steps confirmed, you’ll move on to install Rocky Linux, an operating system compatible with ARM64, which sets the foundation for your NAS.

This guide has provided a walkthrough for creating an ARM-based NAS that is not only power-efficient but also robust and versatile. It offers a wide range of connectivity options and a significant amount of storage capacity. Stay tuned for a follow-up article where the network storage performance of this build will be evaluated in detail.

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MyCobot 280 Raspberry Pi robotic arm

MyCobot 280 Raspberry Pi robotic arm

If you have ever dreamt of owning your own precision robotic arm you might be interested in the  MyCobot 280 Pi. An advanced robotic arm that is powered by the Raspberry Pi mini PC and is reshaping the way we think about automation and education. With a price tag of £651/$799, this piece of technology is making sophisticated robotics more accessible than ever before. It’s a tool that’s not just for experts but for anyone with a passion for innovation and learning.

“Using Raspberry Pi microprocessor and Ubuntu Mate 20.04 operating system, myCobot 280 Pi can be used by connecting monitor, keyboard and mouse without PC master control. It is the first choice for building robot arm programming education, control logic development, robot application and ROS simulation experiment class. To help you quickly start the learning and application of six axis robotic arm.”

The MyCobot 280 Pi is a marvel of modern engineering, boasting a 330° working rotation arc and a reach of 280mm. This robotic arm is not just about its physical capabilities; it’s also about the brains behind its operation. At its core is the Raspberry Pi 4, a tiny but powerful computer that provides the MyCobot 280 Pi with its intelligence and connectivity. This integration allows the robotic arm to perform a wide range of tasks with precision and ease, making it an invaluable asset for those looking to delve into the world of robotics.

What sets the MyCobot 280 Pi apart is its six degrees of freedom. This means the arm can move in six different ways, allowing for intricate and precise movements that mimic the dexterity of a human arm. This level of control is essential for tasks that require a delicate touch, such as assembling small components or conducting detailed experiments. The arm’s flexibility is further enhanced by its compatibility with various programming languages and the Robot Operating System (ROS), which is widely used in robotics research and development.

Raspberry Pi robotic arm

The MyCobot 280 Pi is not just about its technical prowess; it’s also designed with longevity in mind. Its durable plastic casings protect the internal components, ensuring that the robotic arm can withstand the rigors of continuous use. This durability is crucial for educational environments, where the arm may be used by multiple users and subjected to frequent handling.

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In terms of design, the MyCobot 280 Pi is both functional and adaptable. Its six joints provide a wide range of motion, and the inclusion of LEGO connectors opens up a world of possibilities for customization. Users can easily attach accessories and bases, allowing the robotic arm to take on new forms and functions. The G-Base 2.0 ensures that the arm remains securely attached to a desk or work surface, providing a stable foundation for all activities.

The MyCobot 280 Pi’s performance is not limited to a single application. It has proven itself capable of handling a variety of tasks with exceptional precision. This versatility has led to its widespread adoption, with over 10,000 units sold in more than 50 countries. The robotic arm supports over 10 accessories, making it suitable for complex projects in commercial exhibitions and educational settings. Its ability to engage and inspire is evident in the diverse ways it is being used around the world.

MyCobot 280 Pi

When it comes to technical specifications, the MyCobot 280 Pi is well-equipped to handle a range of items with its payload capacity of up to 250g. It features multiple connectivity ports, including USB 3.0, USB 2.0, Ethernet, and micro-HDMI, which provide users with the flexibility to connect a variety of peripherals. Additional connectors like Grove and servo ports further expand the arm’s capabilities, allowing it to interface with an even broader array of devices and sensors.

The MyCobot 280 Pi stands out in the robotics market for its robust build, powerful servos, and versatile programming capabilities. It’s an exceptional choice for anyone looking for a sophisticated Raspberry Pi robotic arm that can meet the demands of both educational and professional environments. Whether you’re a teacher looking to bring robotics into the classroom, a researcher exploring new automation techniques, or a hobbyist eager to experiment with cutting-edge technology, the MyCobot 280 Pi offers a unique opportunity to engage with the world of robotics in a hands-on and meaningful way.

Designing and using robotic arms

A robotic arm is a type of mechanical arm, usually programmable, with similar functions to a human arm. The arm may be the sum total of the mechanism or may be part of a more complex robot. The links of such arms are connected by joints allowing either rotational motion (such as in an articulated robot) or translational (linear) displacement. The links of the arm are connected by joints to provide rotational motion.

In their design, robotic arms can vary greatly in size, shape, and capability. They range from small, precise devices used in medical and electronic applications, to large, industrial machines capable of lifting heavy loads. The complexity of the arm depends on the task it is designed to perform, with more complex tasks requiring more sophisticated control systems.

The control of robotic arms involves several key aspects. Firstly, the kinematics, which is the study of motion without considering the forces that cause it. This involves calculating the positions, velocities, and accelerations of the various parts of the robotic arm. Secondly, dynamics, which considers the forces that cause the motion, is crucial for understanding how the arm will react under different conditions. Lastly, control systems are used to manage the arm’s movements in a precise and intentional manner.

Robotic arms are used in numerous applications, including manufacturing, medical surgery, and space exploration. In manufacturing, they can perform tasks like welding, assembly, and material handling. In medicine, they assist in precise surgical procedures, often enhancing the capabilities of human surgeons. In space, robotic arms are essential for tasks like repairing satellites or moving cargo and equipment in environments where human activity is limited or impossible.

The development and use of robotic arms continue to evolve, incorporating advanced technologies such as artificial intelligence and machine learning to enhance their capabilities, efficiency, and adaptability to various tasks.

This robotic arm is more than just a tool; it’s a gateway to understanding and harnessing the power of robotics. It’s an invitation to explore, to create, and to innovate. The MyCobot 280 Pi is not just about what it can do today but about the potential it unlocks for tomorrow. As we continue to push the boundaries of what’s possible, the MyCobot 280 Pi stands ready to be a trusted companion on that journey, bringing the future of robotics within reach for all. If you enjoyed Raspberry Pi projects you might also be interested in knowing how to run artificial intelligence (AI)  on a Raspberry Pi 5 using Ollama.

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