#LPDDR RAM

[govindhtech]

Enhancing AI: Micron Launches Low-Power Mobile DRAM

High performance and enhanced power efficiency are provided by Micron low-power mobile DRAM for AI experiences.

In order to provide generative artificial intelligence (AI) experiences at the edge, your device’s low-power, high-performance mobile memory is essential. At Micron, our company has a proven track record of providing the best bandwidth and lowest power memory in the world to chip suppliers and worldwide smartphone manufacturers so they can include it into the top smartphones on the market.

With our enhanced 9.6 Gbps LPDDR5X memory solution, that nous are now sampling to the mobile industry, they have once again pushed the envelope. Benefits include considerably increased power efficiency and continuous high-bandwidth capability for AI-intensive applications. Every minute that the user saves is a win when it comes to battery life.

It provide an extra 4% power reduction over our previous generation of memory, which was already providing best-in-class power, for our most recent 9.6 Gbps memory solution. To put this power savings into context, 23 hours of video playback is promised by a top flagship smart phone vendor. End consumers would benefit from an extra hour of video playback if every component in a cellphone reduced power consumption by 4%, increasing the theoretical playback time to 24 hours.

End users require smartphones that are energy-efficient That would mean you could watch two more episodes of your preferred streaming programme before having to charge your gadget. According to consumer research, end customers’ biggest complaints about smartphones are related to their battery life, which is why manufacturers need to focus on making improvements in this area. As a matter of fact, 71% of smartphone owners said that the longest battery life is the attribute they look for most in a new phone. The battery life significantly surpasses other important aspects including the device’s durability (61%), camera quality (48%) and 5G connection (24%). Innovation in LPDDR5X is led by Micron: With the use of second generation high-k metal gate (HKMG) technology and enhanced dynamic voltage and frequency scaling core (eDVFSC) methodologies, our first-to-market 1ß (1-beta) manufacturing node can achieve previously unheard-of power savings. With the flexibility to deliver power and performance tailored to the task, this cutting-edge technology offers notable power improvements. Apart from reducing power consumption, the 1β process node offers a peak bandwidth increase of more than 12%. These increases in power and bandwidth speed up effective and efficient AI experiences at the edge.

Some essential specs and features: LPDDR5 has 50% quicker data access speeds than prior generations, enabling faster AI performance. Even faster rates are expected from LPDDR5X. Power efficiency: LPDDR5 is 20% more efficient than prior generations. This extends smartphone and other mobile device battery life. Higher capacities: LPDDR5 supports complicated AI tasks and mobile multitasking with 6GB, 8GB, and 12GB capacities. Micron’s LPDDR memory achieves these benefits through numerous methods: Lower operating voltages: Ultralow power supply voltages reduce power consumption in LPDDR. Standby current reduction: LPDDR has modes that reduce power consumption when the memory is idle. Advanced production processes: Micron’s 1α DRAM technology enables denser, more efficient memory chips. Micron’s low-power mobile DRAM meets the growing demand for strong and efficient AI on mobile devices. Micron’s LPDDR memory enables improved mobile apps by improving data speeds, power consumption, and capacity.

1ß: The most sophisticated DRAM ever made For premium smartphones, mobile memory with high bandwidth and low power consumption Important characteristics: Improved power and performance are delivered by LPDDR5 leadership extended by advanced pattern multiplication lithography. 9.6Gbps sample traffic is currently being sent, with even greater power savings. High-performance, low-power memory accelerates AI use cases at the edge These developments are expected to eventually filter down to high-end and mid-tier devices as AI use cases and applications become more and more prevalent in flagship smartphones. According to a report released earlier this year by Counterpoint Research, more than 1 billion AI smartphones are expected to be shipped worldwide by 2027 a clear indication of the enormous demand and rapid uptake of AI in the mobile ecosystem and among end users.

The need for high-performance and power-efficient memory to support the AI engines that guarantee outstanding end user experiences grows with the number of new AI use cases and the development of foundational models that provide more complex and accurate feedback.

As AI at the edge is still in its infancy, there are a lot of opportunities and obstacles that the mobile ecosystem will need to get beyond before AI reaches its full potential and becomes widely used.

The advantages are obvious: reduced infrastructure costs, quick replies without relying on the cloud, and data protection and privacy. Standard dilations for basic models are still being worked out, and the issues for hardware, software, and architecture are constantly being investigated.

FAQS What capacities are available for LPDDR5 DRAM? LPDDR5 is frequently offered in sizes ranging from 6GB to 12GB and supports more complex activities on mobile devices.

What devices use Micron’s low-power mobile DRAM? Smartphones and other mobile devices are the intended market for Micron’s LPDDR memory.

How does Micron’s DRAM achieve lower power consumption? Overall power demand is decreased at lower operating voltages. Reducing standby current uses less energy while not in use. Denser and more efficient memory chips are made possible by sophisticated manufacturing techniques like 1α technology.

Read more on Govindhtech.com

[adafruit]

Nexus Q (2012) 🌐🎵📺🔬🍦📶🔵🔌🔄🎶🎥📹🔊🎚️

The Nexus Q, a spherical digital media player by Google. Dual ARM Cortex-A9 CPUs (OMAP4460), 1 GB LPDDR RAM and 16 GB NAND flash memory. It ran on Android 4.0.3 "Ice Cream Sandwich" OS. Connectivity options included Wi-Fi (802.11 a/b/g/n), NFC, Bluetooth, microUSB, and 10/100 Ethernet. Its main input was a rotating top dome volume control and a capacitive touch sensor. It used an integrated 35 W switching power supply, and it supported Google Play Music, Google Play Movies & TV, and YouTube​. Ports included: Micro-HDMI output, an optical audio port, an Ethernet jack, a Micro-USB port for potential modifications, and a set of banana jack speaker outputs for driving speakers using its built-in amplifier.

[innovatexblog]

🧠💻 From DDR1 to DDR5 – Discover How RAM Became the Brain of Speed! Tech is evolving fast—and so is RAM. In this second part of our exclusive Electronics & Communication blog series, we break down the transformation of RAM from early DDR1 to cutting-edge DDR5 and LPDDR5X.

💡 Whether you're a student, tech lover, or hardware engineer, this is a must-read deep dive into how memory tech affects real-world performance—from PCs to smartphones and servers.

📊 Includes: ✅ Side-by-side DDR vs LPDDR comparison ✅ Energy efficiency insights ✅ Future-ready trends in RAM for AI, gaming & mobile ✅ Global relevance, tailored for Indian EC students!

📲 Explore the speed revolution in memory tech now!

[bodhiul]

Laptops and larger hard drives

Storage Area

For memory, we recommend 16GB of RAM, and 8GB is the minimum. RAM is where the operating system stores all data from running applications, and it can fill up quickly. After that, it starts switching between RAM and SSD, which is slow. Most laptops under $500 have 4 or 8 GB, which combined with a slower drive can speed up the Windows laptop experience. In addition, most laptops now have built-in memory on the motherboard. Most manufacturers specify this, but if the RAM type is LPDDR, assume that it is sold and cannot be upgraded.

Some PC of Iot Devices manufacturers also sell memory and leave the internal space empty to install RAM modules. You can contact the manufacturer of the laptop or check the detailed specifications of the laptop online to confirm it. But look at the user experience on the web, where it can be difficult to get there, it may require non-standard or difficult to access storage or other pitfalls, including warranty violations.

Security

You'll still find cheap hard drives in budget laptops and larger hard drives in gaming computers, but fast SSDs have largely replaced hard drives in laptops. They can make a big difference in performance. But not all SSDs are fast, and cheap computers often have slow drives; If the laptop only has 8 GB of RAM, it can stop changing the disk and the system can crash quickly when you are working.

Get what you can afford, and if you must use a smaller drive, you can add an external drive or two later, or use cloud storage to expand the smaller internal drive. The only exception is for gaming laptops: we don't recommend using an SSD smaller than 512 GB unless you like to uninstall games every time you want to play a new game.

[hitechno1mobile]

The Growing Power of Mobile Processors: Can They Rival Desktops Now?

The smartphone industry has witnessed phenomenal growth over the past decade. Phones have transformed from simple communication devices to powerful pocket computers, blurring the lines between mobile and desktop computing. A significant contributor to this shift is the relentless advancement in mobile processor technology.

For those considering a career in this thriving sector, there are excellent opportunities available. Institutes like Hitech No1, a leading laptop and mobile repairing institute in Delhi with over 20 years of experience and 3 lakh+ students trained, offer comprehensive mobile repairing courses in Delhi. With a projected shortage of 18 lakh mobile repairing engineers in India, a career in this field can be lucrative, with potential earnings ranging from ₹40,000 to ₹50,000 per month.

Now, let's delve deeper and explore eight key factors that highlight the growing power of mobile processors and their potential to rival desktops:

1. Processing Power:

Mobile processors have undergone a dramatic transformation. Modern flagship SoCs (System-on-Chip) boast multiple cores with clock speeds exceeding 3GHz, rivaling even mid-range desktop CPUs. This processing muscle allows mobiles to handle demanding tasks like video editing, complex gaming, and multitasking with remarkable efficiency.

2. Graphics Performance:

Integrated graphics on mobile processors have come a long way. Technologies like Vulkan and Metal APIs enable them to leverage the hardware efficiently, delivering impressive graphics performance. While high-end desktop GPUs still hold the edge for hardcore gaming, mobile GPUs are more than capable of handling most popular games at decent settings.

3. Improved Memory Management:

LPDDR memory technology has revolutionized memory capabilities in mobile devices. Modern flagship phones come equipped with up to 16GB of LPDDR5 RAM, ensuring smooth multitasking and handling memory-intensive applications effectively. This, coupled with optimized memory management algorithms, allows mobiles to rival desktops in terms of overall system responsiveness.

4. Storage Evolution:

Gone are the days of limited storage on mobile devices. Today, flagship phones boast high-speed UFS (Universal Flash Storage) technology, offering blazing-fast read/write speeds that rival traditional HDDs (Hard Disk Drives) used in desktops. Additionally, the widespread adoption of high-capacity microSD cards provides ample storage space for users with extensive data needs.

5. Battery Efficiency:

Battery life has been a major concern for mobile users, but advancements in processor architecture and power management techniques have significantly improved this aspect. Modern processors are designed to be energy-efficient, allowing flagship phones to deliver a full day's charge or more under moderate usage.

6. Display Technology:

Mobile displays have become stunning marvels of engineering. High-resolution AMOLED and Super AMOLED panels with HDR (High Dynamic Range) support deliver vibrant colors, deep blacks, and exceptional viewing angles, rivaling the visual experience offered by high-quality desktop monitors.

7. Connectivity Options:

Modern mobile processors come equipped with advanced networking capabilities. Flagship phones support cutting-edge technologies like 5G, enabling blazing-fast internet speeds that surpass traditional wired connections on desktops in many scenarios. Additionally, Bluetooth and Wi-Fi connectivity options continue to improve, offering seamless data transfer and device interconnectivity.

8. Software Optimization:

Mobile operating systems have evolved significantly to leverage the capabilities of modern processors effectively. Android and iOS are continuously optimized to handle multitasking, resource management, and application performance with ever-increasing efficiency. This software optimization plays a crucial role in unlocking the true potential of mobile processors.

The mobile processing landscape is constantly evolving. With each generation, mobile processors are closing the gap with their desktop counterparts. While desktops still hold an edge in terms of raw power and upgradability, the convenience, portability, and ever-increasing processing muscle of mobile devices make them a compelling alternative for many tasks. For individuals seeking a career in this dynamic field, institutes like Hitech No1 offer comprehensive mobile repairing course in Delhi, equipping them with the skills to thrive in the ever-growing mobile repair industry.

[thewirely]

In a breakthrough for computing technology, the JEDEC Solid State Technology Association has recently embraced a new form factor for laptop RAM, named CAMM2. This innovative technology stands out for its compact design and enhanced speed capabilities, dwarfing the traditional SO-DIMM standard. CAMM2, also known as LPCAMM2, is a game-changer for both designers and users, offering the first-ever modular LPDDR-based memory solution. LPCAMM2 combines the speed and efficiency of LPDDR5X components in a modular form. This advancement is significant as it allows for up to 16 DRAM components to be stacked within a single package. This not only simplifies memory architecture but also significantly reduces the space required within laptops, promising designs that are up to 64% more compact than those with dual-SO-DIMM stacks. This opens up possibilities for thinner, lighter laptops, potentially transforming the user experience. However, LPCAMM2 is not without its challenges. The requirement for a new type of socket could initially increase costs, despite the long-term savings anticipated from its design that fills both memory channels with a single module. Additionally, the tech industry is witnessing a trend where companies like Apple are integrating memory directly into processors. This approach, while eliminating traditional bottlenecks and enhancing efficiency, might pose a significant hurdle for the adoption of LPCAMM2. While LPCAMM2 represents a significant step forward in memory technology, offering benefits such as reduced energy consumption (a particular advantage for data center operators), its full adoption in the laptop market might take time. The tech industry's current direction towards integrating memory and processors suggests that LPCAMM2, despite its advantages, might not completely reverse this trend. In summary, LPCAMM2’s introduction is a major development in computer memory technology, heralding a future where laptops are thinner, lighter, and more efficient. However, its path to becoming a dominant technology in the field is not without obstacles, as the industry continues to evolve rapidly with different approaches to memory integration.

[takeoffphilippines]

Acer Unveils its First Eco-Friendly Wi-Fi 6E Mesh Router Made with PCR Materials

Acer Connect Vero W6m hits peak speeds of up to 7.8 Gbps with tri-band AXE7800 throughput while featuring 30% PCR plastic in its casing and a dedicated Eco mode, combining high performance and energy efficiency.

MANILA (May 25, 2023) Acer today unveiled the Acer Connect Vero W6m mesh router, its first eco-friendly Wi-Fi 6E router that incorporates post-consumer recycled (PCR) materials in its chassis and features an Eco mode for efficient energy consumption. The router is powered by a quad-core 2 Ghz processor and includes a bundle of enhanced connectivity, coverage, and security features, including Wi-Fi 6E Tri-Band AXE7800[[i],2] capability and compliance with Radio Equipment Directive (RED) EN 303 645 articles 3.3 Cyber Security Standards.

“We are thrilled to expand Acer’s portfolio of network devices with the launch of the Acer Connect Vero W6m Wi-Fi 6E mesh router, engineered with support for Wi-Fi 6E tri-band connectivity to provide swift and secure connections with vast network coverage within any home or office locations,” said Wayne Ma, General Manger, IoB, IT Products Business, Acer Inc. “The performance-driven router is also the latest addition to our growing Vero line of eco-conscious products, embodying Acer’s commitment to fulfilling its environmental responsibility and helping minimize carbon footprint.”

Fast and Seamless Wi-Fi 6E Connections

The Acer Connect Vero W6m, Acer’s first eco-friendly router, comes with Wi-Fi 6E connectivity and conforms with security standards set by the European Commission’s Radio Equipment Directive. Capable of supporting Wi-Fi 6E Triband (2.4 Ghz/5 Ghz/6 Ghz[1,2]) AXE7800 throughput, the device provides speeds of up to 7.8 Gbps to deliver fast, stable internet connections when online. The Wi-Fi 6E router can also be paired with up to 4 units and features impressive network ranges of up to 465 m2 on a dual mesh system and up to 930 m2 on a quad mesh system to help eliminate dead spots in larger coverage areas[1,3]. Powered by a quad-core 2 GHz A53 processor with 1 GB LPDDR RAM and 4 GB memory capacity, the Acer Connect Vero W6m is engineered to keep up with high-bandwidth requirements.

The new Vero router also gives great importance to data protection and security as it is the first Wi-Fi 6E mesh router to pass EU EN 303 645 (RED) Cyber Security Standards. It also comes with a dedicated WPS button for effortless network security setups. The router is further optimized with intelligent device/application recognition and standard LAN and WAN ports for added connection flexibility.

Eco-Conscious Inside and Out

Designed with the environment in mind, Acer’s commitment to reducing CO2 emissions is reflected in every aspect of the device, from its chassis to energy-efficient features. It also utilizes 100% recyclable paper in its packaging.

The Acer Connect Vero W6m’s minimalistic and compact aesthetic is made with 30% PCR plastic and painted with a cobblestone gray finish to let it blend in with any office or home setup. The dedicated Eco mode function optimizes the router’s power consumption, along with other connected devices by managing their sleep time when not in use and efficiently regulating its data frequency distribution.

Pricing and Availability

Exact specifications, prices, and availability will vary by region. To learn more about availability, product specifications and prices in specific markets, please contact your nearest Acer office via www.acer.com.

Visit Acer’s press kit for product images and specifications, or visit the Computex press room to see all announcements.

[[i]] Network and environmental conditions (including but not limited to network traffic volume, device capabilities, and building construction) may affect actual data throughput and wireless coverage.

[2] The 6 GHz band is limited to indoor use only and requires clients that support the Wi-Fi 6E standard.

[3] Single-unit coverage is 280 sqm. Four-unit coverage is 930 sqm.

[doctortekno]

Sitemize "OnePlus OxygenOS'un Yeni Özelliklerini Duyurdu" konusu eklenmiştir. Detaylar için ziyaret ediniz. https://doctortekno.com/oneplus-oxygenosun-yeni-ozelliklerini-duyurdu/

[haberteknocom-blog]

Galaxy S8'de Kullanılacak Yeni 8GB RAM Yongası Duyuruldu!

Galaxy S8’de Kullanılacak Yeni 8GB RAM Yongası Duyuruldu!

SK Hynix firması, yeni mobil 8GB RAM yongasını duyurdu. Her ne kadar Samsung ile Güne Kore’de sıkı br rekabet içinde olsa da SK Hynix’in duyurduğu yeni RAM yongası, belki aynı belki de benzer şekilde Samsung Galaxy S8 modelinde kullanılabilir. Yeni mobil RAM çipi! Açıklanan bilgilere göre yeni 8GB mobil DRAM yongası, çift kanallı yapılandırmaya bağlı iki adet 8 Gigabit parçadan oluşuyor. Söz…

[anantradingpvtltd]

Price: [price_with_discount] (as of [price_update_date] - Details) [ad_1] H2 is a network attached D enclosure specially designed for personal and home use, working as a private cloud. Supports global remote access and one-button backup from your smart devices such as mobile phones, tablet, pc, etc. Specification: Type: Cloud Storage Enclosure Model: H2 CPU: Single- Core 1.2GHz RAM: LPDDR 256MB Support Hard Disk: 2.5in D/SSD, SATA Protocol: CIFS/Samba OS Requirement: For Windows 7/Linux/Mac OS 10.10 /Android 7, or iOS 9.0 Version Ports: 1 * Micro USB 3.0, 1 * 10/100M s Self-Adaption Ethernet Port, 1 * SATA III USB Port: for charging and data transmission only Item Size: 13 * 8.3 * 1.4cm / 5.1 * 3.3 * 0.6in Item Weight: 139g / 4.9oz Package Size: 20 * 12.6 * 4cm / 7.9 * 4.96 * 1.57in Package Weight: 305g / 10.8oz Packing List:  1 * Cloud Storage Enclosure 1 * Network Cable 2 * USB Cables 1 * Manual [ad_2]

[govindhtech]

AI’s impact on PC memory and storage

Practical Benefits of AI’s impact on PC AI abounds. Nobody goes a day sans hearing or seeing AI. AI is transforming our interactions, from smart devices to self-driving automobiles. What about PC? Can AI’s impact on PC quicker, smarter, and personalized? This blog will discuss how AI’s impact on PC memory and storage. At CES 24, AI dominated coverage more than 50%.

AI relies on big language models (LLMs) created from humans’ massive unlabeled text. Artificial brains with billions of variables and often many networks create material for spoken queries that mimic human replies. ChatGPT and DALL-E, which generate realistic and imaginative text and graphics from user input, are popular LLMs. Although amazing, these LLMs demand a lot of computer power and data. Most run in the cloud to leverage huge computing and network capacity.

AI may happen anywhere outside the cloud. Moving some AI processing to consumer devices might be helpful for numerous reasons. Edge AI can optimise latency, privacy, network costs, and offline functionality. Imagine using your PC to create high-quality content, edit images and movies, transcribe voice, filter noise, identify faces, and more without the cloud. How cool would it be?

Why PC? Edge AI benefits more than just PCs. AI can improve smartphone, tablet, wristwatch, and other device functionality and performance. But the PC has unique capabilities that make it a good edge AI platform. PCs feature huge screens that show more information and improve user experience. Second, PCs’ big batteries can sustain longer, more demanding AI work. Third, PCs can handle more complicated AI models due to their superior processing.

These benefits are observed by chipmakers and software developers. Intel, AMD, Qualcomm, Mediatek, and Nvidia are incorporating strong computational engines and/or integrated graphics in PC CPUs and chipsets to give tens of TOPS of AI performance. Microsoft also plans to optimize Windows 11 OS for CPUs with integrated AI engines this year.

That’s hardly surprising given Microsoft’s drive on Copilot, an AI-powered service that helps users create code, troubleshoot issues, and recommend improvements. Some of these companies are partnering with ISVs to allow AI-optimized apps including video conferencing, picture editing, voice-to-text conversion, baseline noise and noise reduction, and face recognition. Whether these in construction apps will impress or whether the killer app is yet to arrive is unknown. However, major questions remain. How can we run AI models on PC effectively? And …

How does it affect PC hardware? Model size is a major issue when running AI’s impact on PC. AI models, particularly LLMs, need a lot of data storage and memory to store and load billions or trillions of parameters. Our internal investigations reveal that a state-of-the-art LLM for natural language synthesis, a 70 billion-parameter Llama2 model with 4-bit precision, requires 42GB of RAM for loading and inferencing and outputs 1.4 tokens/second. A average PC lacks this much memory. This outlines the issue and future path. Function-specific models will reduce size without compromising accuracy.

There will likely be a bifurcation: huge 70 billion-type models can execute chat completions and optimized conversation use cases on premium systems with enormous memory and storage. A local on-device personal assistant may also require a huge parameter model. A model with less than 10B parameters may be utilized on common devices, require less memory (~2GB), and be used for language tasks such as text completion, list completion, and categorization.

At least PC RAM is affected by model size. Equally crucial are bandwidth and energy efficiency. Both dimensions benefit from PC (especially mobile) switching to LPDDR from DDR. In comparison to DDR5, LPDDR5X uses 44-54% less power during active usage and 86% less power during self-refresh, with a bandwidth of 6.4Gb/s against 4.8Gb/s.

If AI’s impact on PC swiftly, LPDDR5 transition will be faster. Research is underway to increase energy efficiency by putting certain computation into memory. That will take awhile, if ever. The software stack must be established when industry converges on a common set of primitives to offload to memory. A collection of primitives may not suit all applications. Thus, PC memory processing now raises more concerns than answers.

Where will AI models find their sweet spot? Can memory be reduced and portion of the model stored if model sizes remain large? If so, model rotation will need more storage bandwidth. This may hasten the adoption of Gen5 or Gen6 PCIe storage in mainstream PCs. In a recent Apple paper, “LLM in a flash: Efficient Large Language Model Inference with Limited Memory by Alizadeh et al” suggests a way to perform LLMs on devices with excessive DRAM. The authors recommend storing model parameters in flash memory and calling them from DRAM.

They also suggest optimizing data transmission capacity and read throughput to boost inference speeds. The paper’s main parameter for assessing flash loading solutions is latency, which takes into account the I/O cost of loading from flash, the overhead of maintaining memory with freshly loaded data, and the compute cost for inference procedures. The research solves the problem of running LLMs that exceed DRAM capacity by storing model parameters in flash memory and bringing them to DRAM on demand.

AI will advance. Start of integrated NPU integration into CPU and discrete GPUs. Kinara, Memryx, and Hailo AI accelerator cards can offload AI’s impact on PC. Function-specific, smaller, optimized models may also develop. These models must be cycled from storage to memory on demand, but the storage implications are comparable to operating a big model.

Benefits of discrete NPU include: They use less power and heat than CPU and GPU to run complicated AI models. They speed up and improve image recognition, generative AI, chatbots, and other AI applications. They may boost CPU and GPU performance and user AI experience. Lenovo’s ThinkCentre Neo Ultra desktop, launching in June 2024, says these cards deliver more power-efficient and competent AI processing than CPU and GPU alternatives.

The merit number TOPS alone might be deceiving. Number of inferences per unit time, accuracy, and energy efficiency matter most. A generative AI may achieve tokens per second or steady diffusion in seconds. Benchmarking these will be necessary for industry acceptance. For instance, He visited all CPU vendor exhibits and discrete NPU player demonstrations during CES. Every demo claimed their implementation was better.

PC AI is eagerly anticipated. OEMs see this as an opportunity to update PCs and add higher-value content. Intel aims to enable 100M PCs by 2025, or 30% of the PC TAM. Consumers have something to look forward to in 2024 regardless of adoption rate.

Read more on Govindhtech.com

[technuter]

Infinix lays out hefty discounts for Flipkart’s Republic Day Sale starting today

Ahead of Republic Day celebrations, Infinix has rolled out attractive discount offers on its range of smartphones in Smart, Hot and Note series, as part of Flipkart’s Republic Day sale event starting today. The sale features over sixteen Infinix smartphones with massive discounts on Smart 6 HD, Hot 20 Play, Hot 20 5G , Smart 6 HD and Note 12 5G/Pro 5G, available at the lowest prices for the first time. Smart 6 HD: This entry-level smartphone by Infinix ensures a captivating viewing experience with its 6.6” HD+ Drop Notch screen paired with 500 NITS of brightness, a 5000 mAh battery enabled by the Power Marathon Technology, and 32 GB storage backed by an in-built 2GB LPDDR4X GB RAM with expandable 2GB of virtual RAM. This smartphone would be available at the lowest price ever ie INR 5,799/- Hot 20 Play: Hot 20 Play stands out for its 500 NITS bright 6.82” Punch Hole Fluid Gaming display. Backed by a powerful Octa Core G37 gaming Processor, the smartphone features a 13 MP Dual (f1.8) rear camera with a dedicated AI lens, and quad-LED flash, which makes it the best-in-class camera. Hot 20 Play is also backed by the biggest 6000mAh battery in the segment, compatible with 18W Type C quick charging support, which keeps the smartphone operational even after long hours of heavy usage. Hot 20 5G: Hot 20 5G comes equipped with a 6.6” FHD+ Hyper Vision Gaming Display with a first-in-segment 120Hz ultra-high refresh rate and 240 Hz Touch sampling rate. It is the most cost-effective smartphone backed by a 6nm Dimensity 810 processor, which ensures outstanding all-around performance with a dominant frequency of 2x 2.4GHz Cortex-A76 and 6x 2GHz Cortex-A55. HOT 20 5G sports a 50MP Super Nightscape Camera with dual LED Flash that promises colourful, bright, and sharp photos in any light conditions. The smartphone is backed by a 5000mAh Power Monster Battery with Power Marathon power-saving technology, which keeps it operational for 3-days at a stretch with a single charge when used moderately. The battery is further supported by a Type C quick charging solution. Both Hot 20 Play and Hot 20 5G feature an extended RAM tech that enables the 4GB RAM to add up to 7GB RAM (4GB LPDDR 4x RAM + 3GB of expandable virtual RAM). They also come with an On-The-Go (OTG) support, allowing users to connect a full-sized USB flash drive or USB A cable to the devices through the Micro USB or USB-C charging port. The OTG cable also allows 5W reverse charging, allowing the devices to directly access files on a USB flash drive or digital camera or connect to an external device such as a keyboard or mouse. Note 12 5G/Pro 5G: These latest entrants from the NOTE 12 5G series sport a 6.7” FHD+ AMOLED display with a 108% NTSC Ratio and 100% DCI P3 colour gamut to ensure the best colour reproduction on the screen. Powered by the advanced MediaTek D810 5G chipset, both devices come with massive storage space and a dedicated memory card slot that is expandable up to 512GB. While NOTE 12 5G comes in 6GB (Expandable up to 9GB)/64GB memory variant with LPDDR4X RAM, 12 Pro 5G will be available in 8GB (Expandable up to 13 GB) /128GB storage with LPDDR4X RAM. While both the devices feature a triple camera set-up, the NOTE 12 Pro 5G is equipped with a first-in-segment 108 MP camera and the NOTE 12 5G sports a 50 MP primary camera lens with an f/1.6 large aperture. The smartphones come with a 16 MP AI selfie camera with dual-LED flash. The NOTE 12 5G series is backed by a heavy-duty 5000mAh battery backup with a power marathon feature and 33W Type C charging support. Here is the list of all the smartphones with enticing offers that customers can choose from in the 2023 Republic Day Sale: Republic Day Sale offer 11th January to 20th January Model Price Offer Price Infinix Smart 6 7499 6499 Infinix Smart 6 HD 6999 5799 Infinix Smart 6 plus 8299 7599 Infinix Note 12(4GB) 11999 9999 Infinix Note 12(6GB) 12999 11999 Infinix Hot 12 9999 8899 Infinix Hot 12 Pro (6GB) 10999 9999 Infinix Hot 12 Pro(8GB) 12999 11999 Infinix Hot 12 play 8999 8699 Infinix Hot 20 play 8999 8199 Infinix Hot 20 5G(4GB) 13208 11499 Infinix Note 12 T 14999 13999 Infinix Note 12 5G 15999 12999 Infinix Note 12 pro 5G 18999 16999 Infinix Note 12 Pro(8/256) 16999 14999 Read the full article

[hackgit]

[Media] ​​Raspberry Pi 400 Computer Kit

​​Raspberry Pi 400 Computer Kit The Raspberry Pi 400 contains the Raspberry Pi 4 hardware and architecture integrated inside of the Official Raspberry Pi keyboard for a stylish and easy to use one-piece computer. Simply plug in the mouse, power supply, and connect the MicroHDMI cable to your HDMI Display. Getting up and running with the Raspberry Pi has never been more convenient. Featuring a quad-core 64-bit processor at 1.8 GHz, 4 GB of RAM, wireless networking, dual-display output and 4K video playback, Raspberry Pi 400 is a complete personal computer, built into a compact keyboard. Access to most common external ports of the Raspberry Pi 4 are available in the Raspberry Pi 400, including the 40 pin GPIO, 2 x MicroHDMI, 2 x USB 3.0, 1 x USB 2.0, Gigabit Ethernet, MicroSD card slot, and USB-C power supply - all lined up on the back side providing less clutter on your desk. Kali on Raspberry Pi400 - User Instructions Specifications: ▫️ Broadcom 1.8GHz 64-bit quad-core ARMv8 CPU ▫️ 4GM RAM LPDDR-32000 ▫️ 16GB SD Card with Raspbian OS ▫️ Official Mouse ▫️ 3 Feet MicroHDMI to HDMI Cable ▫️ US Layout Keyboard Buy online: 🛒 https://amzn.to/3sjG8LH (amazon) 🛒 https://ali.ski/-bhVqf (aliexpress) #keyboard #pc #raspberry #pi

[techboilers]

iQOO8 & 8 Pro Launched - Specifications & Pricing

iQOO8 & 8 Pro Launched – Specifications & Pricing

iQOO8 & 8 Pro just got launched. The phones come with the top of line specifications. Here is everything you need to know. iQOO8 Pro Specifications The iQOO8 Pro comes with the Snapdragon 888+, up to 12GB LPDDR 5 RAM with 256/512GB UFS 3.1 storage. This one gets a 6.76-inch E5 AMOLED panel and a 3200 x 1440p resolution. Both phones feature 120Hz refresh rates and 10bit colours. The Pro packs a…

[akuncloudflare]

Spesifikasi kunci iQOO 8 dan 8 Pro muncul sebelum pengumuman

Spesifikasi kunci iQOO 8 dan 8 Pro muncul sebelum pengumuman

Hanya sehari sebelum peluncurannya, spesifikasi utama iQOO 8 dan 8 Pro bocor meninggalkan harga dan ketersediaan sebagai satu-satunya intrik nyata untuk acara besok. Kebocoran baru mengkonfirmasi rumor masa lalu dengan model Pro yang menggunakan chipset Snapdragon 888+ terbaru sementara vanilla memilih Snapdragon 888 biasa. Kedua ponsel mendapatkan RAM LPDDR 5 hingga 12GB dengan penyimpanan…