#AIprocessors

[industryexperts]

(via Artificial Intelligence (AI) Hardware | Global Market Size, Trends, Outlook 2024-2030)

Global market size for AI Hardware is estimated at US$25 billion in 2024 and is likely to register a 2024-2030 CAGR of 20.5% in reaching a projected US$76.7 billion by 2030. One of the major factors propelling demand for AI Hardware includes growing demand for AI applications.

[govindhtech]

Boosting the Machine: How AI Chips are Revolutionizing Tech

Nikkei Asia reported that SoftBank Group’s Arm Holdings planned to offer AI chips in 2025, competing with Apple and Nvidia.

The article suggested UK-based Arm will establish an AI chip business and create a prototype by spring 2025. Nikkei Asia reported that contract manufacturers will begin mass production in October 2025.

The article said Arm and SoftBank will cover initial development expenditures, which may exceed hundreds of billions of yen.

The publication reported that SoftBank is talking with Taiwan Semiconductor Manufacturing Corp (TSMC) and others to acquire production capacity for the AI chip sector once a mass-production infrastructure is built.

Arm and SoftBank rejected comment, while TSMC did not answer quickly.

AI Chips

AI will impact national and international security in the future. The U.S. government is studying ways to limit AI information and technology dissemination. Modern AI systems’ computer hardware is naturally the focus of controls because general-purpose AI software, datasets, and algorithms are ineffective. Computation on a scale inconceivable a few years ago is key to modern AI.

A premier AI algorithm can take a month and cost $100 million to train. AI systems require computer chips with high computing capability, including those with the most transistors and optimized for specialized tasks. Leading-edge, specialized “AI chips” are needed to scale AI cost-effectively; older or general-purpose chips can cost tens to thousands of times more. Export control regulations are possible because the complex supply chains needed to make cutting-edge AI chips are concentrated in the US and a few allied democracies.

The above story is detailed in this report. It discusses AI chips’ function, proliferation, and importance. It also explains why leading-edge and AI-specific processors are cheaper than older generations. The study discusses semiconductor industry and AI chip design trends that are shaping chip and AI chip advancement. It also summarizes technical and economic factors that affect AI application cost-effectiveness.

This study defines AI as cutting-edge computationally expensive AI systems like deep neural networks. DNNs are behind recent AI successes like DeepMind’s AlphaGo, which defeated the global Go champion. As mentioned above, “AI chips” are computer chips that do AI-specific computations efficiently and quickly but poorly for general calculations.

We will discusses AI chips and why they are necessary for large-scale AI development and implementation. The AI chip supply chain and export control targets are not its focus. Future CSET reports will examine the semiconductor supply chain, national competitiveness, China’s semiconductor industry’s prospects for supply chain localization, and policies the US and its allies can pursue to maintain their AI chip production advantages and recommend ways to use them to benefit AI technology development and adoption.

Industry Trends Favor AI Chips Over General-Purpose Chips

Moore’s Law argues that transistor shrinking quadrupled computer chip transistors every two years from 1960 to 2010. This made computer chips millions of times faster and more efficient.

Modern chips use transistors a few atoms wide. However, making transistors smaller makes engineering challenges harder or impossible to address, driving up semiconductor industry capital and talent expenses. Moore’s Law is slowing, so it takes longer to double transistor density. Moore’s Law costs are justified primarily because it allows chip advances like transistor efficiency, transistor speed, and more specialized circuits.

Demand for specialized applications like AI and the stalling of Moore’s Law-driven CPU advancements have disrupted the economies of scale that favored general-purpose devices like central processing units. CPUs are losing market share to AI chips.

AI Chip Basics

GPUs, FPGAs, and AI-specific ASICs are AI chips.

Basic AI activities can be done with general-purpose devices like CPUs, but CPUs are becoming less helpful as AI progresses.

It, like general-purpose CPUs, use massive numbers of tiny transistors, which operate quicker and require less energy, to complete more computations per unit of energy.

AI chips have various AI-optimized design elements, unlike CPUs.

AI algorithms need identical, predictable, independent calculations, which these properties greatly expedite.

They involve parallelizing several calculations instead of sequentially like CPUs and implementing AI algorithms with poor precision but reduces the number of transistors needed for the same calculation, speeding up memory access by, for example, storing an entire AI algorithm in a single AI chip, and using programming languages designed to efficiently translate AI computer code for execution.

Different AI chips do different functions. Most AI algorithms are developed and refined on GPUs during “training.”

FPGAs are generally used for “inference” applying learned AI algorithms to real-world data. Training or inference ASICs are possible.

Why AI Needs Cutting-Edge Chips

AI chips train and infer AI algorithms tens or thousands of times faster and more efficiently than CPUs due to their unique properties. Due to their AI algorithm efficiency, state-of-the-art it are much cheaper than CPUs. A thousand-times-more-efficient AI chip equals 26 years of Moore’s Law CPU advances.

Modern AI systems need state-of-the-art AI chips. Older AI circuits with larger, slower, and more power-hungry transistors quickly become costly due to energy usage. Due to this, older AI chips cost more and slow down more than modern ones. Modern AI processors are needed to create and implement cutting-edge AI algorithms due to cost and speed dynamics.

Training an AI algorithm can cost tens of millions of dollars and take weeks, even with cutting-edge hardware. AI-related computing accounts for a considerable share of top AI lab spending. This training would take orders of magnitude longer and cost orders of magnitude more on general-purpose devices like CPUs or previous AI chips, making research and deployment impractical. Inference using less advanced or specialized chips may cost more and take orders of magnitude longer.

Implications for National AI Competitiveness

Advanced security-relevant AI systems require cutting-edge AI processors for cost-effective, speedy development and deployment. The US and its allies have an advantage in numerous semiconductor industries needed to make these devices. U.S. manufacturers dominate AI chip design, including EDA software.

Chinese AI chip designers are behind and use U.S. EDA software. U.S., Taiwanese, and South Korean corporations dominate most chip fabrication plants (“fabs”) that can make cutting-edge AI chips, while a Chinese firm just secured some capacity.

Chinese AI chip designers outsource manufacturing to non-Chinese fabs with higher capacity and quality. U.S., Dutch, and Japanese manufacturers dominate the semiconductor manufacturing equipment (SME) market for fabs. China’s ambitions to establish an advanced chip sector could eliminate these advantages.

Modern AI chips are vital to national security, thus the US and its allies must maintain their production edge. Future CSET papers will examine US and allied strategies to maintain their competitive edge and investigate points of control to ensure that AI technology development and deployment promote global stability and benefit everybody.

Read more on govindhtech.com

[groovy-computers]

Exciting news for tech enthusiasts! The AMD Octa-core Ryzen AI Max Pro 385 processor has been spotted on Geekbench, signaling a new affordable option for power users and content creators. This mid-range chip features 8 Zen 5 cores, clocked at 3.6 GHz and boosted up to 5 GHz, with a Radeon 8050S GPU promising impressive integrated graphics. Benchmark scores show 2489 points in single-core and 14,136 in multi-core tests—solid numbers for its segment. While the CPU is weaker than high-end models, the GPU performance makes it a strong contender for budget-friendly gaming and AI workloads. Ready to upgrade your portable workstation? With prices estimated around $1,950 CAD, this processor could redefine affordable performance. Would you consider a system powered by Ryzen AI Max Pro 385 for your work or gaming needs? Let us know in the comments! #AMD #Ryzen #TechNews #MobileWorkstation #AIProcessors #GamingLaptops #AffordableTech #Geekbench #HardwareNews #ContentCreation #FutureOfTech #PerformanceBoost

[lovelypol]

AI Chips = The Future! Market Skyrocketing to $230B by 2034 🚀

Artificial Intelligence (AI) Chip Market focuses on high-performance semiconductor chips tailored for AI computations, including machine learning, deep learning, and predictive analytics. AI chips — such as GPUs, TPUs, ASICs, and FPGAs — enhance processing efficiency, enabling autonomous systems, intelligent automation, and real-time analytics across industries.

To Request Sample Report : https://www.globalinsightservices.com/request-sample/?id=GIS25086 &utm_source=SnehaPatil&utm_medium=Article

Market Trends & Growth:

GPUs (45% market share) lead, driven by parallel processing capabilities for AI workloads.

ASICs (30%) gain traction for customized AI applications and energy efficiency.

FPGAs (25%) are increasingly used for flexible AI model acceleration.

Inference chips dominate, optimizing real-time AI decision-making at the edge and cloud.

Regional Insights:

North America dominates the AI chip market, with strong R&D and tech leadership.

Asia-Pacific follows, led by China’s semiconductor growth and India’s emerging AI ecosystem.

Europe invests in AI chips for automotive, robotics, and edge computing applications.

Future Outlook:

With advancements in 7nm and 5nm fabrication technologies, AI-driven cloud computing, and edge AI innovations, the AI chip market is set for exponential expansion. Key players like NVIDIA, Intel, AMD, and Qualcomm are shaping the future with next-gen AI architectures and strategic collaborations.

#aichips #artificialintelligence #machinelearning #deeplearning #neuralnetworks #gpus #cpus #fpgas #asics #npus #tpus #edgeai #cloudai #computervision #speechrecognition #predictiveanalytics #autonomoussystems #aiinhealthcare #aiinautomotive #aiinfinance #semiconductors #highperformancecomputing #waferfabrication #chipdesign #7nmtechnology #10nmtechnology #siliconchips #galliumnitride #siliconcarbide #inferenceengines #trainingchips #cloudcomputing #edgecomputing #aiprocessors #quantumcomputing #neuromorphiccomputing #iotai #aiacceleration #hardwareoptimization #smartdevices #bigdataanalytics #robotics #aiintelecom

[govindhtech]

Apple to Reveal Silence AI at Developers Conference

Apple’s Worldwide Developers Conference (WWDC) is eagerly anticipated since it previews the company’s software and hardware. But there was a hint of mystery surrounding the meeting this year. Industry observers anticipated Apple would eventually break its silence and reveal their all-encompassing AI plan following years of comparatively quiet activity on the artificial intelligence (AI) front.

A Cautionary Step for Silence AI

Apple has been more cautious than Google and Microsoft in pushing Silence AI frontiers. From Siri’s virtual assistant to Face ID’s facial recognition, Apple has discreetly added AI features for years. They haven’t entered generative AI like ChatGPT, which revolutionised the world in late 2022.

Debate has been spurred by this quiet. Certain observers maintain that Apple is pursuing a “slow and steady wins the race” approach, concentrating on refining its Silence AI base prior to making a major debut. Some contend that by behind the competition in the Silence AI race, Apple exposes itself to competition gaining market share and steering the next big technology shift.

There’s A Lot On The Line

During WWDC 2024, Apple was under pressure. It was anticipated that Tim Cook, the CEO, would make a historic keynote speech. Cook had to present a plan that could not just match but maybe outperform what competitors were giving in order to convince investors and developers that Apple was a genuine participant in the Silence AI space.

AI Takes the Lead

AI turned became the conference’s main topic as expected. Cook acknowledged Apple’s methodical approach to Silence AI in his characteristic cool, collected manner. He underlined that the business prioritises user security and privacy while concentrating on ethical AI development. This struck a chord with an increasing number of people who are worried about the possible moral ramifications of advanced Silence AI.

The Exposure

Cook unveiled the “Apple Neural Engine 3,” the company’s newest iteration of its proprietary AI processor, and that’s when the real excitement started. Specifically built for on-device AI activities, this new chip touted considerable improvements in processing power and efficiency. By addressing user privacy concerns and promising quicker performance, this emphasis on on-device processing replaced a heavy reliance on cloud computing.

A Quick Look at the Apple AI Ecosystem

After that, Cook demonstrated a number of Silence AI-powered capabilities that will be included in Apple goods. These are a few of the highlights:

Siri 2.0

Siri 2.0 is a completely redesigned virtual assistant with enhanced natural language processing, multi-step request handling, and the capacity to execute complex tasks. With its seamless integration, Siri 2.0 would provide a more contextual and personalised experience with other Apple services.

Enhanced Photography

By using Silence AI to recognise objects and scenes in real time, the iPhone camera would be able to capture the best possible photos and videos. This would allow for features like automated corrections. Consider how your camera would know how to modify settings for low light, landscapes, and portraits.

The Revolution of Augmented Reality (AR)

Apple’s AR projects would heavily rely on Silence AI. Envision sophisticated filters that subtly blend virtual components with the actual environment, allowing for a smooth and natural interaction.

OpenAI is not partnered with (for now)

A big topic of conjecture was a possible collaboration between Apple and ChatGPT’s developers, the OpenAI. Although there was no formal declaration, Cook did allude to Apple working on generative AI technologies of its own, emphasizing areas that support Apple’s privacy-centric philosophy.

With an Emphasis on Development Tools

During the conference, Apple devoted a large amount of time to introducing new developer tools that would enable them to take use of Apple’s advances in AI. With these tools, developers may produce intelligent apps that fit right into Apple’s AI ecosystem.

The Path Forward

Apple’s AI approach was well received by analysts, who commended the company for emphasizing on-device processing and responsible development. Apple appears to be taking a measured approach, putting user privacy first and creating a strong basis for future AI innovation, even though some may have wished for a more “show-stopping” introduction.

Apple AI’s Prospects

What does this imply for Apple AI’s future? These are a few options:

Siri’s Integration

An innovative wave of intelligent Apple products is anticipated, which might revolutionise user interface design. These gadgets will make creative use of artificial intelligence.

App Developer Adoption

Apple is expected to maintain its focus on customer privacy as a top priority in its Silence AI development, which might set it apart from rivals.

A competition for supremacy

The IT industry’s struggle for AI dominance is far from ended. It is reasonable to anticipate that Apple will persist in pushing the limits of ethical Silence AI research and development, competing for a prominent position in this vital area of technology.

In Conclusion Apple Makes a Stand

The company’s attitude to AI saw a sea change with Apple’s WWDC 2024.

Read more on Govindhtech.com

[govindhtech]

Samsung Smart Monitor M8: Built-in Apps & Boost Productivity

Samsung Smart monitor m8

Samsung Electronics Presents Their New ViewFinite, Smart Monitor, and Odyssey OLED Lineups Including an Integrated Launch for 2024. The newest Odyssey OLED series features unique proprietary technology that prevents burn-in for next-generation OLED experiences.

AI-powered smart features make the Smart Monitor M8 and Odyssey OLED G8 more entertaining, while ViewFinite models increase productivity. In 2024, Samsung will introduce its ViewFinite, Smart Monitor, and Odyssey OLED gaming monitors worldwide.

No matter how users use their displays, these new and upgraded models offer capabilities they anticipate and some they want to give them new experiences. The Odyssey lineup offers the Odyssey OLED G8, a next-generation OLED experience with new AI capabilities; the Smart Monitor lineup increases happiness with more advanced entertainment features and the AI-powered Smart Monitor M8; and the ViewFinite lineup improves connectivity to create a fully functional workstation.

“No matter how people use them, Samsung’s latest monitor lineups create better experiences and offer a breadth of options to users worldwide,” stated Hoon Chung, Executive Vice President of Visual Display Business at Samsung Electronics. From the ground-breaking AI-powered Odyssey OLED gaming monitor to the multi-device experiences offered by Samsung’s Smart Monitor and ViewFinity ranges, the company is dedicated to changing the market and providing consumers with cutting-edge technology.

Samsung M8 series 32-inch 4K UHD smart monitor

Odyssey OLED Series: Superior Visual Quality With New Features to Prevent Burn-In Samsung’s 2024 Odyssey OLED line includes the G8 (G80SD) and G6.

First 32-inch flat Samsung OLED gaming monitor with 16:9 aspect ratio and 4K UHD (3840 x 2160) resolution is Odyssey OLED G8. Fast, fluid gaming is achieved with a 240Hz frame rate and 0.03ms GtG reaction time.27-inch Odyssey OLED G6 has QHD (2560 x 1440) and 16:9 aspect ratio. Action-packed gameplay is easy with 0.03ms GtG reaction time and 360Hz refresh rate.

Odyssey OLED G8 is Samsung’s first AI-powered OLED gaming display. Samsung Gaming Hub and the monitor’s native Smart TV apps can upscale video to almost 4K for enhanced gaming and enjoyment. Samsung’s 2024 8K TV uses the NQ8 AI Gen3 processor.

Samsung OLED Safeguard+, a novel patented burn-in protection technology, is featured in both new OLED models. By providing a pulsating heat pipe to the display, this device prevents burn-in before anyone else in the world.

Additionally, compared to the previous graphite sheet approach, which minimizes burn-in by lowering the core temperature, the Dynamic Cooling System diffuses heat five times more effectively by evaporating and condensing a coolant. To further reduce burn-in, the display also recognizes static graphics such as taskbars and logos and automatically dims their brightness.

Odyssey OLED G8

With a brightness of 250 nits (Typ. ), the Odyssey OLED G8 and G6 both offer unparalleled OLED picture quality, while FreeSync Premium Pro maintains GPU and display panel synchronization to do away with choppiness, screen latency, and screen tears.

In order to provide an immersive viewing experience even during the day, Samsung’s innovative OLED Glare Free technology5 also maintains color accuracy and minimizes reflections while retaining image sharpness. The unique, specialized hard-coating layer and surface coating pattern enable the OLED-optimized, low-reflection coating to overcome the trade-off between gloss and reflection.

The incredibly thin metal designs of both monitors give them a unique look, while Core Lighting+ adds ambient lighting that syncs with the screen to improve gaming and entertainment experiences. Long sessions are also made more comfortable with the ergonomic stand’s height adjustment, tilt, and swivel support.

The Odyssey OLED monitors from Samsung maintain their OLED monitor leadership. After launching its first OLED model a year earlier, Samsung became the world’s top OLED monitor seller. This accomplishment highlights Samsung’s quick rise in the OLED monitor market and demonstrates its dedication to expanding its gaming monitor range by adding models that make use of its in-house OLED technology.

AI Processing for Smart Monitor M8

With the new Smart Monitor portfolio, you can enjoy smarter entertainment and increase productivity by centralizing your whole multi-device experience into one hub. The M8 (M80D model), M7 (M70D model), and M5 (M50D model) are among the updated versions for 2024.

With the NQM AI processor, the enhanced 32″ 4K UHD Smart Monitor M8 offers new AI-powered capabilities that elevate entertainment experiences. AI upscaling raises lower resolution footage to almost 4K, while Active Voice Amplifier Pro use AI to assess ambient noise in the user’s surroundings in order to enhance dialogue within user-generated content.

32 smart monitor m8

The M7 has a brightness of 300 nits (Typ. ), a grey to grey (GtG) response time of 4 ms, and a 4K UHD (3840 x 2160) resolution. It is available in 32″ and 43″ sizes. The M5 comes in 27″ and 32″ screen sizes, with FHD resolution (1920 x 1080), 250 nits (Typ.) of brightness, and a 4 ms GtG reaction time.

M8 smart monitor

The M8 can be used in 360 Audio Mode 9, which combines with Galaxy Buds to produce a surround sound experience. Additionally, using Samsung Dex’s mobile applications to conduct video conversations is made simple with the integrated Slim Fit Camera.

A Workout Tracker, which pairs with a Galaxy Watch to offer real-time health data on the screen even while streaming video, is a new addition to the full line of Smart Monitors. This can make working out more pleasurable and makes tracking workout objectives easier.

The functionality of the already excellent Smart Monitor is improved by these new additions. You can instantly access a variety of streaming services and live content with Samsung TV Plus and smart TV apps, eliminating the need to connect to other devices or start up a PC.

SeeFinity Series: Optimizing Originality and User-Friendliness

The newest ViewFinity lineup, which was developed responsibly and is optimized for professionals and creatives, consists of the ViewFinity S8 (S80UD and S80D models), ViewFinity S7 (S70D model), and ViewFinity S6 (S60UD and S60D models).

Because they don’t use chemical sprays on the plastic components and are constructed with at least 10% recycled plastic, the revised 2024 ViewFinity monitors contribute to recycling initiatives. Additionally, the packaging employs glue rather than staples to make disassembly simpler.

With just one rapid click and no tools or screws needed, the Easy Setup Stand assembles quickly and easily, allowing you to quickly experience the vivid display of the ViewFinity. Each 2024 ViewFinity monitor has integrated TÜV-Rheinland-certified Intelligent Eye Care capabilities to reduce eye strain during extended work times, along with compatibility for HDR10 and the display of 1 billion colours, guaranteeing accurate colour representation.

The S80UD variant has a USB-C port that enables users to charge devices with up to 90W of power and a new KVM switch that makes it simple to connect and switch between two separate input devices.

The ViewFinity S7 has 27″ and 32″ screens. Both have UHD 4K (3840 x 2160) resolution, 350 nits (Typ.), and 60Hz refresh rate. ViewFinity S6 has 24″, 27″, and 32″ QHD (2560 x 1440), 100 Hz refresh rate, and 350 nits (Typ.) brightness. USB hub and height-adjustable stand. The S60UD has 90W USB-C and a KVM switch.

Read more on Govindhtech.com

[govindhtech]

How to Update Ubuntu 22.04 for the Advantech RSB-3810

Ubuntu

Robust Pico-ITX SBC with MediaTek Genio power, approved for Ubuntu 22.04 LTS and ready for edge AI IoT devices. According to Canonical, Ubuntu 22.04 LTS is now certified for the Advantech RSB-3810, which is powered by the top-tier MediaTek Genio 1200.

This guarantees long-term OS maintenance and dependable and effective over-the-air updates, opening the door for the development of a new generation of open, secure, and expandable AI-enhanced IoT devices for business use.

The small and incredibly effective Advantech 2.5″ Pico-ITX board offers a potent octa-core CPU with dual-core AI processor and integrated “starlight-grade” ISP, along with extensive IO for expansion and customization to meet the needs of a wide range of IoT applications. MediaTek worked with Canonical to optimize for the Genio 1200.

Ubuntu server

Innovative hardware solution suited for edge and IoT applications

The first Ubuntu images designed for MediaTek’s Genio 1200 System on Chip (SoC) will be released in 2023 thanks to a partnership between Canonical and MediaTek to optimize Ubuntu.

Additionally, the Ubuntu 22.04 LTS certification represents a long-term commitment to guarantee that RSB-3810 will consistently get the most recent security upgrades tested in the Canonical lab. Developers and businesses may take advantage of an optimised Ubuntu 22.04 experience right out of the box on MediaTek Genio.

for IoT developments. The solution’s goal is to introduce AI innovation across a range of industries. The next generation of safe, open, and expandable Internet of Things devices is made possible by the dependable and effective over-the-air upgrades provided to devices built on the MediaTek Genio platform and certified Ubuntu.

With great pleasure, MediaTek and Canonical today announce the availability of the first Ubuntu Certified hardware operating on MediaTek Genio 1200, the RSB-3810 2.5″ Pico-ITX, from Advantech, the industry leader in industrial embedded AI solutions.

Strong and effective performance for Internet of Things applications

RSB-3810

The RSB-3810 is based on MediaTek’s Genio 1200 chipset, which has a powerful octa-core CPU architecture. It has four high-end Arm Cortex-A78 and four Cortex-A55 processors combined into a cutting-edge 6nm-class device. The end result is remarkable power efficiency; the RSB-3810 can easily handle workloads requiring a lot of computation while only using 8 watts.

The Genio 1200 chipset has a dedicated dual-core AI processing unit (APU) to facilitate seamless on-device AI processing for deep learning, Neural Network (NN) acceleration, and machine vision applications. With an astounding 4.8 TOPS of performance, this specialist unit improves the RSB-3810’s capability in AI-driven tasks. This clever architecture strikes the ideal balance between system performance and power consumption by efficiently offloading workloads from the host CPU.

Seamless image processing and transmission with extremely minimal delay

Using three MIPI-CSI and USB 3.0 ports, the RSB-3810 allows camera input and has an integrated starlight-grade ISP. This makes it possible for intelligent vision-based devices to function well even in extremely low light. The RSB-3810 offers H265 4K60 video capture and 4K90 image processing thanks to the Mali-G57 chipset, which enables a variety of AI applications. It also makes multi-display setups easier with one 4Kp60 HDMI and one dual channel LVDS.

Regarding connectivity, the RSB-3810 offers 1 x M.2 3052 Key B and 1 x M.2 2230 Key E Slot, which are the required I/O interfaces for sophisticated network and peripheral connections. This makes it possible to integrate MediaTek’s 5G and Wi-Fi 6/BT networking modules with ease. Furthermore, as a suitable protocol for effective data transmission in monitoring systems and equipment, GbE TSN (Time-Sensitive Networking) is supported. The RSB-3810 is the perfect choice for edge computing applications in camera systems and industrial IoT because of these qualities.

Ubuntu 22.04 LTS

Time to market is shortened and dependability is ensured with Ubuntu 22.04 LTS Certified RSB-3810

For commercial users of one of the most widely used open source operating systems worldwide, security is always the first issue. The hardware may be thoroughly tested with stable release upgrades to provide a dependable experience and can be smoothly integrated with Ubuntu through Canonical’s certification programme. As a result, developers can shorten the product’s time to market and concentrate on developing applications.

Additionally, the Ubuntu certification represents a long-term commitment to guarantee that RSB-3810 will consistently get the most recent security upgrades tested in the Canonical lab. Developers and businesses may take advantage of an optimised Ubuntu experience right out of the box on MediaTek Genio.

Upgrade to Ubuntu Pro to ensure long-term compliance and security

With ten years of security maintenance for Ubuntu and thousands of open source programmes, including Python, Docker, OpenJDK, OpenCV, MQTT, OpenSSL, Go, and Robot Operating System (ROS), Ubuntu Pro for Devices is a great addition to Canonical’s already-existing Ubuntu 22.04 LTS Certified Hardware programme.

Additionally, the subscription gives users access to Real-time Ubuntu 22.04 LTS for use cases where latency is a concern, as well as device management capabilities via Canonical’s systems management tool, Landscape. One of the first original device manufacturer (ODM) partners to provide Ubuntu Pro on their platforms is Advantech.

RSB-3810 Cortex A78 & A55 2.5″ SBC with UIO40-Express MediaTek Genio 1200

Onboard LPDDR4 8GB, 4000MT/s memory with 4 cores A78 and 4 cores A55 for the MediaTek Genio 1200.

1 × Dual Channel 24 bit LVDS, HDMI 4k60fps.

Two USB3.2 Gen1 By 1, two USB2.0, one Micro SD, one Mic. in / Line out, and one 4-wire RS-232/422/485.

1 x M.2 3052 Key B for 5G, 1 x M.2 2230 Key E Slot for WiFi/BT Supports UIO40-Express I/O boards for I/O expansions; supports Android and Ubuntu.

Certainly!Canonical launches Ubuntu 22.04 LTS. This LTS edition has five years of extended support and updates, making it suitable for enterprise use and users that prefer stability and long-term support over new features.

Features and improvements in Ubuntu 22.04 LTS: Linux Kernel

Ubuntu 22.04 LTS’ Linux kernel boosts hardware support, speed, and security.

Desk Environment: GNOME, usually the newest stable release at Ubuntu release, is the default desktop environment. A sleek and intuitive interface characterizes GNOME.

Performance improvements: Faster boot times and better resource management.

Security Upgrades: Enhanced security features and regular upgrades protect the system against vulnerabilities.

Software updates: Access to the newest productivity apps, development environments, and system functions.

Supporting New Hardware: Increased interoperability with modern hardware components allows the system to run on many devices.

Extra Support: LTS Ubuntu 22.04 will get upgrades and support until April 2027, making it a reliable solution for long-term projects and deployments.

Common Applications: Enterprise Environments: For enterprises that need a reliable, long-term operating system.

Development Workstations: For developers who require a dependable platform with the latest development tools and libraries.

Suitable for server deployments because to its robustness and extended service duration

Personal Use: For everyday users who prefer a reliable, supported OS.

To install and set up, download the ISO: Ubuntu’s website offers the 22.04 LTS ISO image.

Bootable USB Drive Creation: Rufus (Windows), balenaEtcher (cross-platform), or dd (Linux) can generate a bootable USB device.

Boot from USB: Boot your PC from the bootable USB drive. BIOS/UEFI boot order may need to be changed.

Follow the Install Wizard: Install Ubuntu 22.04 LTS using on-screen instructions. You can install it alongside another OS or as the only OS.

Setup After Installation: After installation, update and install software as needed.

Ubuntu 22.04 LTS Tips:

Stay Current: To get the latest security fixes and software upgrades, check system updates often.

Examine GNOME Extensions: Customise your desktop using GNOME extensions from GNOME Extensions.

Install and manage applications with Snap and APT package managers.

Regular backups: Backup your files routinely with Deja Dup.

Ubuntu 22.04 LTS balances stability, performance, and support, making it ideal for many users and use situations.

Read more on govindhtech.com