#GPU accelerated browsing

[updatedideas]

Amazons GPT55X Unveiled

Hey there, tech enthusiast! 🚀 Grab your coffee because we’re about to dive into one of the most exciting innovations in the world of AI: Amazon’s GPT55X. Picture this: you’re chatting with a friend, and they casually mention this groundbreaking piece of tech. Confused? Don’t fret. We’re here to break it down for you, friend-to-friend. Introducing the Rockstar: Amazons GPT55X Ever watched a movie…

[govindhtech]

Is Mediatek Helio G99 Good For Gaming? Lets Go To Details

Mediatek Helio G99 processor

The DC-1 is the first tablet with a 10.5″ LivePaper Display in the world that, when its LED backlight is turned all the way to amber, can operate without emitting any blue light at all. You can use this innovative display for an extended period of time because it functions at a super-smooth 60 frames per second, is easier on the eyes, and doesn’t flicker or glare outside.

Apart from the powerful, eight-core MediaTek Helio G99 SoC, the DC-1 is equipped with a large 8000mAh battery, fast Wi-Fi 6, Bluetooth 5.0 wireless connectivity, 8GB of RAM, and 128GB of storage. Even better, a USB 3.1 Type-C to Ethernet converter can be used to Ethernet-tether it.

MediaTek Helio G99 6nm

Outstanding 4G gaming smartphones at 6nm with amazing power efficiency

The next generation of 4G gaming smartphones is introduced by the MediaTek Helio G99. This  processor, which is based on the incredibly effective TSMC N6 (6nm-class) semiconductor manufacturing process, allows for all-day gaming, large cameras, quick displays, seamless streaming, and dependable international networking. Partners can modify the MediaTek Helio G99 platform to fit particular needs for their markets or devices.

Mediatek Helio G99 phones

The TSMC N6 (6nm-class) chip production process, which we used to enhance the Helio 4G series, allows the G99 to be incredibly power efficient and opens up new possibilities for device makers to produce gaming smartphones that last longer than before.

Mediatek Helio G99 ghz

Fast-moving 120 Hz screens with intelligent display synchronisation

Without the need for additional DSC hardware, device manufacturers may produce gaming smartphones that are lightweight and thin with Full HD+ 120Hz screens that are sharp and clear. Even 4G smartphones are now expected to have 120Hz displays, which offer an incredibly smooth everyday experience with noticeably smoother webpage browsing and app animations.

Through dynamic refresh rate adjustments, MediaTek Intelligent Display Sync technology increases the power economy of these rapid screens by only enabling greater speeds when they are most needed.

108 Megapixel Primary Camera

Large 108MP cameras are available for device makers to employ, enabling users to take the highest detailed pictures. When compared to other MediaTek Helio series chipsets, photographic results are better thanks to dimensity-class picture quality technology. Highly detailed bokeh captures in dual selfie and multi-camera setups are possible with twin cameras up to 16MP with ZSL.

Mediatek Helio G99 octa-core

With two powerful Arm Cortex-A76 processors that can reach 2.2GHz in frequency, the MediaTek Helio G99 is equipped with an octa-core  CPU and a powerful Arm Mali G57-class GPU. Accelerated data access using fast UFS 2.2-class storage and high speed LPDDR4X memory up to 2,133MHz maximises performance in games, apps, and daily tasks.

Gaming technology powered by MediaTek HyperEngine 2.0 Lite

2.0 Resource Management Engine

Longer-lasting, more fluid gameplay is ensured by an intelligent resource management engine.

 CPU, GPU, and RAM are intelligently and dynamically managed based on active power, thermal, and gameplay measures.

improved performance in difficult scenarios, high-stress games, and game engines that load slowly

High FPS power savings prolong battery life without compromising user experience by combining hardware and software improvements to lower power consumption during high FPS gaming situations.

2.0 Networking Engine

To make sure you’re always connected, the networking engine provides more dependable connectivity and quicker reaction times.

Call and Data Concurrency enables users to postpone conversations while playing games without the data connection failing, and WiFi antenna shifting modifies the signal between antennas to maximise throughput and minimise latency.

Two 4G VoLTE in tandem

For optimal power efficiency, a fast Cat-13 4G LTE modem is built inside the chip. Supported are global bands and IMS services; additionally, cutting-edge features like 4×4 MIMO and 256QAM offer dependable connectivity even in densely populated locations. While VoLTE and ViLTE services offer great call and live video experiences with faster call setup and substantially better quality than conventional calling, essential dual 4G SIM offers a seamless experience with fast data services from both connections.

Mediatek Helio G99 Benchmark

AnTuTu Benchmark

Overall Score: Around 350,000 to 400,000

 CPU Score: Around 100,000 to 120,000

GPU Score: Around 90,000 to 110,000

Geekbench 5

Single-Core Score: Approximately 500 to 600

Multi-Core Score: Approximately 1500 to 1700

3DMark (Sling Shot Extreme)

Score: Around 1800 to 2200

Mediatek Helio G99 price

Since manufacturers buy the MediaTek Helio G99, its mid-range chipset price is rarely listed. However, cellphones and devices using this chipset can give us an indication of its pricing.

Helio G99 Device Price Range

MediaTek Helio G99 smartphones are inexpensive to mid-range. These gadgets’ estimated prices:

The Helio G99 can be found in $150–200 smartphones. Mid-Range Smartphones: $200–$300 models with this chipset have more features.

Device Examples

Around $250 for Infinix Note 12 Pro. The Tecno Camon 19 Pro costs around $230.

Prices vary by model, RAM and storage configurations, features, regional pricing, and store pricing strategies.

Conclusion

Despite the MediaTek Helio G99 chipset’s price being unknown, devices using it cost $150 to $300. This line matches its mid-level mobile device affordability.

MediaTek Helio G99 Specs

 Processor

 Processor

2x Arm Cortex-A76 up to 2.2GHz

6x Arm Cortex-A55 up to 2.0GHz

Cores

Octa (8)

 CPU Bit

64-bit

Heterogeneous Multi-Processing

Yes

Memory and Storage

Memory Type

LPDDR4X

Max Memory Frequency

4266Mbps

Storage Type

UFS 2.2

Connectivity

Cellular Technologies

4G Carrier Aggregation (CA), CDMA2000 1x/EVDO Rev. A (SRLTE), 4G FDD / TDD, HSPA +

Specific Functions

4X4 MIMO, 2CC CA, 256QAM, TAS 2.0, HPUE, IMS (VoLTE\ViLTE\WoWi-Fi), eMBMS, Dual 4G VoLTE (DSDS), Band 71

LTE Category

Cat-13 DL

GNSS

GPS / QZSS L1+ L5 / Galileo E1 + E5a / BeiDou B1C + B2a / NAVIC

Wi-Fi

Wi-Fi 5 (a/b/g/n/ac)

Bluetooth Version

5.2

Camera

Max Camera Resolution

108MP

16MP + 16MP

Capture FPS

32MP @ 30fps ZSL

16MP + 16MP @ 30fps ZSL

Camera Features

3X ISP;  AI Face Detection; HW depth engine; AINR; Single-Cam/Dual-Cam Bokeh; Hardware Warping Engine (EIS); Rolling Shutter Compensation (RSC) engine; MEMA 3DNR; Multi-Frame Noise reduction;

Display

Max Display Resolution

2520 x 1080

Max Refresh Rate

120Hz

Graphics & Video

GPU Type

Arm Mali-G57 MC2

Video Encoding

H.264, H.265 / HEVC

Video Encoding FPS

2K 30fps, FHD 60fps, HD 120fps

Video Playback

H.264, H.265 / HEVC, VP-9

Video Playback FPS

2K 30fps, FHD 60fps, HD 120fps

Read more on govindhtech.com

[eternalcyclicality]

with laptops, a lot of these graphics issues causing so much heat are because windows 10/11 will run many applications through the CPU (or sometimes a feeble onboard GPU) rather than through the more powerful dedicated GPU

basically, windows 10/11 is *terrible* at estimating what applications should use the dedicated GPU and it will default way too often to the CPU for everything (or the weaker onboard GPU, as many laptops have two GPUs, one that's meant for only for basic video output and the other meant for games and higher graphics rendering)

so, if your laptop gets hot when running a program, try going to graphics settings, turn on hardware-accelerated GPU scheduling, then browse for the application in question and set its executable to High Performance

i play some browser based games in firefox, and my MSI gaming laptop used to get crazy hot when doing so, until i designated the firefox exe for High Performance (trying to do even minor graphics processing in your CPU will overheat it super fast)

i thought my laptop was on its last leg because it was running at six billion degrees and using 100% disk space at all times and then i turned off shadows and some other windows effects and it was immediately cured. i just did the same to my roommate's computer and its performance issues were also immediately cured. okay. i guess.

so i guess if you have creaky freezy windows 10/11 try searching "advanced system settings", go to performance settings, and uncheck "show shadows under windows" and anything else you don't want. hope that helps someone else.

[lakshmiglobal]

What is a Graphics Card? and Why Do I Need One?

A graphics card, also known as a GPU (Graphics Processing Unit), is a specialized piece of computer hardware responsible for rendering images, videos, and animations to your display. It handles all visual output, from your operating system interface to complex 3D game graphics and professional design software.

🧠 What Does a Graphics Card Do?

A graphics card:

Processes and renders visual data (images, video, 3D models).

Frees up your CPU to focus on other system tasks.

Powers graphically intensive applications like video editing, gaming, 3D modeling, CAD, VFX, and AI.

Enables multi-display setups and supports higher resolutions (4K, 8K).

🖥️ Types of Graphics Cards

Integrated Graphics (iGPU):

Built into the CPU.

Suitable for basic tasks like web browsing, office apps, and streaming video.

Dedicated Graphics Card (dGPU):

A separate, powerful card installed in your system.

Offers better performance for gaming, content creation, and professional workloads.

🎯 Why Do You Need a Graphics Card?

Use CaseWhy You Need a GPUGamingSmooth frame rates, high-res textures, ray tracing, VR support.Video EditingFaster rendering and real-time playback of high-res footage.3D Modeling & CADBetter viewport performance and rendering speeds.AI/ML WorkloadsGPUs accelerate deep learning tasks and computations.Multi-Monitor SetupsHandle multiple displays with high resolution.Regular Office UseMay not need a dedicated GPU; integrated is often enough.

🔍 Final Thoughts

If your work or entertainment involves heavy visuals, 3D, or video processing, a dedicated graphics card is essential. For casual users, an integrated GPU might suffice. Always match the GPU to your workload and future-proof your system where possible.

Would you like help choosing the right graphics card or software for a specific purpose?

[gis2080]

AI in Computer Vision Market to Skyrocket to $54.2 Billion by 2034 at 13% CAGR

AI in Computer Vision Market is on an impressive growth trajectory, projected to soar from $15.9 billion in 2024 to $54.2 billion by 2034, marking a CAGR of 13%. At its core, the market is defined by the integration of artificial intelligence with computer vision technologies — allowing machines to not only see but also understand and interpret visual data.

These applications range from autonomous vehicles and diagnostic imaging to retail inventory tracking and security surveillance. Driven by the demand for intelligent automation and real-time visual data processing, AI in computer vision is becoming a cornerstone in digital transformation strategies across industries.

Market Dynamics

Several forces are fueling this market’s expansion. The explosion of deep learning algorithms, improved computational power, and the increasing availability of high-quality image data are accelerating innovation. In industries like manufacturing, AI-powered vision systems are revolutionizing quality assurance and predictive maintenance.

Click to Request a Sample of this Report for Additional Market Insights: https://www.globalinsightservices.com/request-sample/?id=GIS20495

In healthcare, AI helps detect anomalies in medical images with unprecedented accuracy. However, challenges persist — high implementation costs, data privacy issues, and the lack of skilled professionals continue to pose hurdles. Still, the rapid pace of technological advancement is steadily overcoming these barriers, making adoption more viable even for smaller enterprises.

Key Players Analysis

The competitive landscape is teeming with innovation. Established companies like NVIDIA, Intel, Cognex, Sony Semiconductor, and FLIR Systems are dominating through continual R&D and strategic partnerships. Meanwhile, emerging players such as Visionary AI, Deep Sight Technologies, and Pixel Sense Innovations are pushing the boundaries with niche solutions in pattern recognition, smart surveillance, and immersive vision technologies. Collaborations between tech giants and AI startups are creating a fertile ground for innovation, from edge computing integrations to ethical AI frameworks that ensure transparency and bias mitigation in visual data processing.

Regional Analysis

North America remains the global leader, thanks to robust infrastructure, early adoption, and massive R&D funding. The United States, in particular, is a powerhouse, home to major tech firms and research institutions. Europe follows, with Germany and the UK leading AI integration in automotive and industrial sectors. In Asia Pacific, countries like China, Japan, and South Korea are witnessing a tech boom fueled by automation and smart manufacturing needs. Meanwhile, Latin America and the Middle East & Africa are gradually expanding their footprint, led by digital transformation initiatives in Brazil, Mexico, UAE, and South Africa.

Recent News & Developments

Recent trends highlight the shift towards edge AI, enabling real-time image processing with reduced latency — critical for self-driving cars and live security feeds. NVIDIA and Intel continue to push performance boundaries with next-gen AI chips and GPUs. Regulatory frameworks like GDPR and CCPA are shaping the way visual data is collected and processed, emphasizing transparency and consent. Pricing dynamics also reflect the tech’s sophistication, with enterprise solutions ranging from $10,000 to $100,000. Strategic alliances — such as those between Google and OpenAI — signal a new wave of computer vision capabilities that combine massive datasets with fine-tuned AI models.

Browse Full Report : https://www.globalinsightservices.com/reports/ai-in-computer-vision-market/

Scope of the Report

This report offers a holistic perspective, dissecting the market by type, product, technology, component, application, end user, deployment, and solutions. It spans historical analysis from 2018–2023, with forward-looking forecasts up to 2034, grounded in insights from reputable sources like IEEE, MIT, NASA, and Stanford University. We cover competitive strategies including product launches, mergers, collaborations, and regulatory impacts, while evaluating regional landscapes, consumer behavior, and technological adoption patterns. Whether you’re a stakeholder, investor, or tech innovator, this report equips you with the strategic intelligence to capitalize on the booming AI in computer vision ecosystem.

Discover Additional Market Insights from Global Insight Services:

Mobile Phone Insurance Market : https://www.globalinsightservices.com/reports/mobile-phone-insurance-market/

Tour Operator Software Market : https://www.globalinsightservices.com/reports/tour-operator-software-market/

Computer Aided Engineering Market : https://www.globalinsightservices.com/reports/computer-aided-engineering-market/

Location-based Entertainment Market : https://www.globalinsightservices.com/reports/location-based-entertainment-market/

Mobile Value Added Services (VAS) Market : https://www.globalinsightservices.com/reports/mobile-value-added-services-vas-market/

#ai #computervision #machinelearning #deeplearning #edgeai #autonomousvehicles #healthcareai #retailtech #smartcities #visualai #facialrecognition #objectdetection #imageprocessing #artificialintelligence #futuretech #roboticvision #aiapplications #surveillanceai #aiautomation #digitization #aiethics #automotiveai #arvr #industry40 #smartmanufacturing #aiinnovation #realtimeai #aiinsurveillance #dataprivacy #gdpr #aiinhealthcare #aichips #nvidia #intel #googleai #aiinretail #aiinsecurity #globalai #aiforgood #emergingtech #smartinfrastructure #techtrend

About Us:

Global Insight Services (GIS) is a leading multi-industry market research firm headquartered in Delaware, US. We are committed to providing our clients with highest quality data, analysis, and tools to meet all their market research needs. With GIS, you can be assured of the quality of the deliverables, robust & transparent research methodology, and superior service.

Contact Us:

Global Insight Services LLC 16192, Coastal Highway, Lewes DE 19958 E-mail: info@globalinsightservices.com Phone: +1–833–761–1700 Website: https://www.globalinsightservices.com/

[penguintechtips]

Fixing XORG/MESA crashes on My Thinkpad X201

Introduction

I've recently aqcuired a Thinkpad X201. It features an Intel Core i5 520M and the integrated Intel Graphics Media Accelerator HD GPU, which should be plenty for some light browsing and word processing on Debian.

The Installation of the Operating System (Debian 12 "Bookworm" with the Mate Desktop) went smoothly and my spirits were high when I suddenly got catapulted back to the login screen after trying to copy some arbitrary textfile from my NAS to a local folder.

Because I have become kind of lazy in regards to sysadmin related activities I did some distrohopping (Arch, OpenSUSE) and tried multiple desktops (Mate, KDE, XFCE) but the problem persisted so I had to dive deeper.

The root cause (funny cuz Linux)

After some research this seemed to be a relativly common bug on these older Intel iGPUs that could be fixed by enabling the "TearFree" option of the driver using a custom /etc/X11/xorg.conf.d/20-intel.conf like so:

Section "Device"  Identifier "Intel Graphics"  Driver "intel"  Option "TearFree" "true" EndSection

However, creating that custom config with the above content led to me not getting any graphical user interface at all, just the good old fashioned console login prompt.

After digging deeper it turns out MESA (which is used by X11 to display graphics) removed legacy INTEL drivers starting with version 22. They are supposed to be replaced by something called "crocus", but that doesn't support options such as "TearFree".

The Solution

The solution for this problem is called Mesa Amber, a branch of mesa based on the latest 21.x version and therefore still containing the legacy drivers. Some Distributions (like Arch) have a ready to use package for it, but Debian does not. It does however exist as source code. Therefore:

Building and installing from source

Depending on your configuration, execute these commands with sudo or as root when necessary

apt install git build-essential devscripts git clone https://salsa.debian.org/xorg-team/lib/mesa-amber.git cd mesa-amber mk-build-deps --install --remove rm mesa-amber-build-deps* debuild -us -uc cd .. apt install *.deb

As a final step, add MESA_LOADER_DRIVER_OVERRIDE=i965 to /etc/environment and create the file /etc/X11/xorg.conf.d/20-intel.conf with the content mentioned before: Section "Device"  Identifier "Intel Graphics"  Driver "intel"  Option "TearFree" "true" EndSection After a reboot, your system should use the old driver and not crash anymore.

Source (Devuan Forum) Let me know if I made any mistakes!

[maxofs2d]

This is misinformation.

Blocking screenshots or screensharing has nothing to do with hardware acceleration / graphics acceleration.

It is, in fact, deliberate blocking of any capture of the video through DRM, by not letting any other apps besides the browser and the operating system access the video content.

If you leave hardware acceleration on, you'll note that you can take screenshots of any YouTube or Tumblr video out here. This disproves the last post's assertion.

That being said, yes, disabling it does work for taking screenshots of HBO Max or Netflix, and the reason why is because DRM like Widevine — which is what's used by browsers, iOS, and Android — generally requires hardware acceleration to be on, because their highest levels require trusted execution environment hardware.

If you disable hardware acceleration, DRM might be disabled altogether — but usually, it will fall back to a lower, software-based level (like Widevine L3), which is more permissive.

You can read more about it here and here.

The downside:

On Netflix and most other DRM-protected services, being on Widevine L3 means that you are stuck with 480p or 720p maximum, even if your plan should let you access more.

Disabling hardware acceleration is also a terrible idea in general. To put it succinctly, your CPU will be forced to work much harder when browsing web pages, and especially when it has to decode video. Don't be surprised if you see your battery life decrease, or if you feel your laptop heat up more.

You should always leave hardware acceleration on in your various apps, because letting them use your GPU instead of your CPU for various rendering tasks is much, much more efficient.

So don't forget to turn hardware acceleration back on when you're done!

hbo max blocks screenshots even when I use the snipping tool AND firefox AND ublock which is a fucking first. i will never understand streaming services blocking the ability to take screenshots thats literally free advertising for your show right there. HOW THE HELL IS SOMEBODY GONNA PIRATE YOUR SHOW THROUGH SCREENSHOTS. JACKASS

[visionaryvogues03]

How Neural Networks Are Powering the Next Wave of AI Innovation?

The emergence of neural networks has been an imperative accomplishment in the world of technology. It has evolved from rudimentary concepts to being the backbone of artificial intelligence (AI). At every stage of evolution, there are significant advancements that take place of a continuous basis. The neural networks is a machine-learning model used to mimic the way a human brain will function & perform in various given situations.  

The Core of AI’s Evolution

AI has advanced in several phases, from rule-based systems to machine learning and, now, deep learning powered by neural networks. Unlike traditional algorithms that rely on explicit programming, algorithmic learning systems enable machines to learn from vast amounts of data, recognizing patterns and making decisions with minimal human intervention.

Key innovations that have propelled algorithmic learning systems into mainstream AI applications include:

Deep Learning Advancements: Multi-layered neural networks process complex data, enabling breakthroughs in image recognition, natural language processing (NLP), and autonomous decision-making.

Computational Power: The rise of high-performance GPUs and cloud computing has accelerated neural networks’ ability to analyze massive datasets in real time.

Big Data Integration: Businesses generate more data than ever before, providing these networks with the fuel needed to make precise predictions and optimize operations.

Algorithmic Enhancements: Improved architectures, such as convolutional and recurrent deep learning models, have enabled AI systems to outperform humans in specific tasks, including medical diagnostics and financial forecasting.

Transforming Industries with Neural Networks

1. Healthcare: Revolutionizing Diagnosis and Treatment

In healthcare, neural networks are playing a pivotal role in early disease detection, drug discovery, and personalized medicine. AI-powered diagnostic tools can analyze medical images with accuracy surpassing human radiologists, detecting cancers, neurological disorders, and cardiovascular diseases at earlier stages. Additionally, pharmaceutical companies are leveraging AI-driven intelligent learning networks to accelerate drug development by predicting molecular interactions and identifying potential treatments faster than ever before.

2. Finance: Enhancing Risk Assessment and Fraud Detection

The financial sector is experiencing a major transformation as neural networks improve risk modeling, fraud detection, and algorithmic trading. AI-driven systems analyze transaction patterns in real-time, flagging suspicious activities and preventing cyber threats. Hedge funds and investment firms utilize these networks for predictive analytics, identifying market trends and optimizing trading strategies with precision that was previously unattainable.

3. Retail and E-commerce: Hyper-Personalization and Inventory Optimization

Retailers and e-commerce platforms are leveraging neural networks to enhance customer experiences through personalized recommendations and dynamic pricing models. AI-powered recommendation engines analyze browsing history, purchase patterns, and consumer sentiment to tailor product suggestions, increasing conversion rates and customer satisfaction. Additionally, predictive analytics powered by AI neural frameworks helps retailers manage inventory efficiently, reducing waste and improving supply chain logistics.

4. Autonomous Systems: Powering the Future of Transportation

Self-driving cars, drones, and robotics are heavily dependent on neural networks for real-time decision-making. These AI systems process vast amounts of sensor data to navigate environments safely, recognize objects, and predict movements with high accuracy. Companies like Tesla, Waymo, and Uber are at the forefront of deploying such networks to advance autonomous vehicle technology, paving the way for a future where transportation is safer and more efficient.

Challenges and Considerations for Businesses

While the benefits of AI neural frameworks are immense, businesses must navigate key challenges to fully harness their potential:

Data Privacy and Security: As AI systems handle sensitive information, organizations must implement robust cybersecurity measures and comply with data protection regulations.

Bias and Fairness: Bias in training data can lead to unfair or inaccurate AI predictions. Businesses must adopt ethical AI practices and ensure diversity in datasets.

Computational Costs: Developing and deploying advanced AI neural frameworks requires significant computational resources. Companies should weigh cloud-based AI solutions versus in-house infrastructure to optimize costs.

Talent Shortage: The demand for AI experts far exceeds supply. Businesses should invest in AI training programs and partnerships to bridge the talent gap.

The Future of AI 

The next phase of AI innovation will be shaped by continuous advancements in neural networks. Key trends to watch include:

Explainable AI (XAI): Enhancing the transparency of AI decision-making, making neural networks more interpretable and accountable.

Neuro-symbolic AI: Combining traditional rule-based AI with deep learning to improve reasoning and problem-solving capabilities.

AI-powered Edge Computing: Bringing AI processing closer to the source of data (IoT devices, smart sensors) to enable real-time analytics without relying on cloud computing.

Generalized AI: Moving towards AI models that can perform multiple tasks across industries, reducing the need for specialized models.

Conclusion

As AI continues to evolve, neural networks remain the driving force behind its most groundbreaking innovations. Businesses that strategically integrate AI-driven solutions can enhance efficiency, make data-driven decisions, and gain a competitive edge. Whether in healthcare, finance, retail, or autonomous systems, the potential of deep learning models is limitless.

Uncover the latest trends and insights with our articles on Visionary Vogues

[howzitsa]

MSI GeForce GT 710 2GB 2GD3H LP Upgrade to the MSI GeForce GT 710 Graphics Card for accelerated performance in demanding PC multimedia applications that integrated graphics can’t deliver. The GT 710 features advanced graphics technologies, so you can enjoy fast web browsing, photo and video editing, and gaming. It’s a simple, affordable way to get your PC up to speed. All Solid Capacitors 10 years ultra-long lifetime (under full load) with a lower running temperature and higher efficiency. Extreme low ESR. Noise Free Large heat sink covers the area of GPU and memory, providing the best environment for gaming and multimedia. Low Profile Design Low profile design saves more space, allowing the user to build slim or smaller systems easier. Afterburner Overclocking Utility Supports in-game video recording. Support wireless control by android/iOS handheld devices. Support built-in DX12 effect test. FEATURES: Core/Memory 954 MHz Core 2048MB DDR3 1600 MHz Video Output Function Dual-link DVI-D x 1 HDMI x 1 (Version 1.4a) D-Sub x 1 Noise free cooling Low profile design Afterburner overclocking utility SPECIFICATIONS: Graphics Processing Unit: NVIDIA GeForce® GT 710 Interface: PCI Express 2.0 x16 (uses x8) Core Clocks: 954 Memory Speed: 1600 Memory Size: 2048 Memory Type: DDR3 Memory Bus: 64-bit HDCP Support: Y Power Consumption: 19 Recommended PSU: 300 DirectX Version Support: 12 API (feature level 11_0) OpenGL Version Support: 4.5 Maximum Displays: 2 DVI Connectors: Dual-link DVI-D x 1Max Resolution: 2560 x 1600 @60 Hz D-SUB Connectors: 1 HDMI Connectors: 1 (version 1.4a) Max Resolution: 4096×2160 @24 Hz RAMDAC Speed (Mhz): 400 Product Dimensions: 14.6 x 6.9 x 1.9 cm Product Weight: 178g WHAT’S IN THE BOX: MSI NVIDIA GeForce® GT 710 2GB GDDR3 Graphics Card – Black x1 Driver CD x1 User Manual x1  

[industrynewsupdates]

Artificial Intelligence In Healthcare Market Growth: A Deep Dive Into Trends and Insights

The global AI in healthcare market size is expected to reach USD 187.7 billion by 2030, registering a CAGR of 38.5% from 2024 to 2030, according to a new report by Grand View Research, Inc. AI acts as a transformative force in healthcare systems, shifting them from reactive to proactive, predictive, and preventive models. Clinical decision support systems, fueled by artificial intelligence (AI), empower physicians and healthcare professionals with predictive and real-time analytics, enhancing decision-making and elevating care quality, ultimately resulting in improved patient outcomes. Furthermore, AI facilitates a comprehensive understanding of disease biology and patient pathology, advancing precision medicine and precision public health initiatives.

Furthermore, the growing field of life sciences R&D opens numerous opportunities for market growth, with AI's ability to process vast volumes of multidimensional data playing a crucial role. This capability accelerates the generation of novel hypotheses, expedites drug discovery and repurposing processes, and significantly reduces costs and time to market through the utilization of in silico methods. In essence, AI drives innovation and efficiency across the healthcare sector, revolutionizing healthcare delivery worldwide. AI-based technologies are implemented in various healthcare domains, including virtual assistants, robot-assisted surgeries, claims management, cybersecurity, and patient management.

Gather more insights about the market drivers, restrains and growth of the Artificial Intelligence In Healthcare Market

AI In Healthcare Market Report Highlights

• The software solutions component segment dominated the global market in 2023 with the largest revenue share of 46.3%. This large share is attributed to the widespread adoption of AI-based software solutions among care providers, payers, and patients

• The robot-assisted surgery application segment dominated the market in 2023 with the largest revenue share and it is anticipated to witness the fastest CAGR from 2024 to 2030

• A rise in the volume of robot-assisted surgeries and increased investments in the development of new AI platforms are a few key factors supporting the penetration of AI in robot-assisted surgeries

• The machine learning (ML) technology segment held the largest share in 2023 as a result of advancements in ML algorithms across various applications. This trend is expected to continue due to the increasing demand for ML technologies

• The healthcare payers end-use segment is anticipated to experience the fastest CAGR from 2024 to 2030

• In 2023, North America dominated the industry and held the largest share of over 45% owing to advancements in healthcare IT infrastructure, readiness to adopt advanced technologies, presence of several key players, growing geriatric population, and rising prevalence of chronic diseases

• In Asia Pacific, the market is anticipated to witness significant growth over the forecast period

Browse through Grand View Research's Healthcare IT Industry Research Reports.

• The global identity and access management in healthcare market size was estimated at USD 1.4 billion in 2023 and is estimated to grow at a CAGR of 17.4% from 2024 to 2030.

• The global digital health for musculoskeletal care market size was estimated at USD 3.8 billion in 2023 and is projected to grow at a CAGR of 17.4% from 2024 to 2030.

AI In Healthcare Market Segmentation

Grand View Research, Inc. has segmented the global AI in healthcare market on the basis of component, application, technology, end-use, and region:

Artificial Intelligence (AI) In Healthcare Component Outlook (Revenue, USD Million, 2018 - 2030)

• Hardware

o Processor

o MPU (Memory Protection Unit)

o FPGA (Field-programmable Gate Array)

o GPU (Graphics Processing Unit)

o ASIC (Application-specific Integrated Circuit)

o Memory

o Network

o Adapter

o Interconnect

o Switch

• Software Solutions

o AI Platform

o Application Program Interface (API)

o Machine Learning Framework

o AI Solutions

o On-premise

o Cloud-based

• Services

o Deployment & Integration

o Support & Maintenance

o Others (Consulting, Compliance Management, etc.)

Order a free sample PDF of the Artificial Intelligence In Healthcare Market Intelligence Study, published by Grand View Research.

[bastionofbibliophiles]

If you use Chrome, the setting to search for (as of August 2024) is "Use graphics acceleration when available". In Firefox, it's still under "Use recommended performance settings".

This also applies to recording your screen with OBS Studio and other screen-recording software, except that you can either turn off hardware acceleration for something you want to record or turn on hardware acceleration for OBS. Depending on the relative capabilities of your CPU and GPU, you might get better results with OBS and the target software both un-accelerated or both accelerated, but as long as everything is using the same setting it should work.

On Windows 10, the hardware-acceleration setting for OBS is actually in Windows settings, not OBS settings. In the "Settings" app, go to "Graphics settings" and Browse for wherever OBS Studio is installed (default is something like "C:\Program Files (x86)\obs-studio\bin\64bit\obs64.exe"). Then you can choose either "Power saving" (no acceleration) or "High performance" (hardware acceleration).

firefox just started doing this too so remember kids if you want to stream things like netflix or hulu over discord without the video being blacked out you just have to disable hardware acceleration in your browser settings!

[govindhtech]

Intel Core Ultra 5 125H vs 135H Mobile CPU Specs

Intel's latest Intel Core Ultra CPU series improves mobile computing speed with cutting-edge designs, battery economy, and integrated graphics. New thin-and-light high-performance laptops for creatives are the Intel Core Ultra 5 125H and 135H. This article compares CPU features, attributes, and performance to help you pick.

Intel Core Ultra 5 Series overview

Core Ultra 5 is Intel's mid-tier offering with the latest Ultra processors. 7nm CPUs use Intel 4 process technology. While conserving battery life, these CPUs prioritise multitasking, productivity, gaming, and creativity.

Gaming laptops and portable workstations use Intel “H” CPUs 125H and 135H. Although similar, the 125H vs. 135H CPU number guarantees better performance and functionality.

Performance and Core Architecture

The 125H and 135H processors use Intel's innovative hybrid architecture, which combines Performance (P) and Efficient (E) cores. Using efficiency cores for light background work and high-performance cores for demanding tasks optimises processor power usage.

Intel Core Ultra 5 125H: The 10-core processor has four E-cores and six P-cores. This allows it multitask and run nicely in one thread. Its 16 threads are plenty for most productivity tasks.

Intel Core Ultra 5 135H: A more powerful 12-core configuration with four E-cores and eight P-cores for 20 threads. More cores boost multitasking and parallel workloads, making the 135H better for heavy multitasking, content production, and some professional applications.

The 135H responds faster and performs better under burst loads due to its higher base and turbo frequencies. Also, clock speeds vary.

Cache, Memory

CPU performance and efficiency depend on cache memory. Larger L2 and L3 caches on the 135H reduce memory latency and speed data access. Because they frequently retrieve data, video editing, graphics, and gaming benefit from caching.

Both processors support DDR5-5600 and LPDDR5-6400. This gives GPU and CPU cores rapid memory bandwidth.

Integrated Graphics

Both CPUs have Intel's ARC A370M GPU for mobile graphics. This graphics card performs well for GPU-accelerated tasks, multimedia editing, and light gaming. The ARC A370M is a good choice for small, light laptops with integrated graphics, but neither is meant to replace a high-end gaming GPU.

Thermal Design and Power Use

Intel's 125H and 135H processors offer a customisable 28W base and 45W maximum TDP. Laptop manufactures can optimise cooling based on device design. The same power envelope lets these CPUs be employed in more durable gaming machines or compact, light laptops without losing thermals or battery life.

Due to its higher core count and speeds, the 135H may use more power during demanding multitasking or multithreaded operations, but Intel's power management and core architecture help maintain a good battery life.

Actual Use Performance

Productivity and Multitasking

Both CPUs handle web browsing, office apps, and media consumption well for regular productivity, although the 135H is more responsive while running multiple demanding activities. The 135H renders Adobe Premiere and DaVinci Resolve faster due to its greater performance cores and threads.

Gaming

Even though they're not meant for gaming, both CPUs can run many games with the right GPU. The 135H has a slight edge in CPU-bound or multi-core orientated games due to its higher clock rates and more cores.

Content Creation

Professionals who write, compile, create 3D environments, or run virtual machines will benefit from the 135H's more cores and threads. A bigger cache boosts performance for complex processes.

Practical Applications

The Core Ultra 5 125H

A consistent performer is needed for office work, streaming, and browsing.

Moderate gaming and creativity don't require much multi-core processing.

Better battery life and cost savings are your priorities over performance.

Despite your limited laptop budget, you want a processor that won't age quickly.

Intel Core Ultra 5 135H

High-demand apps like video editing, 3D rendering, and multitasking need more processing power.

You desire seamless performance when running multiple demanding apps.

You value frame rates in CPU-intensive games.

You're willing to pay more for a better laptop.

In conclusion

Intel Core Ultra 5 125H and 135H are formidable mobile CPU competitors. The 125H provides good single-core and multi-core performance with low power consumption for most users. For power users, gamers, and content producers who need more cores and speed, the 135H boosts performance.

Your workload and budget will determine which of these two you choose. The 125H is powerful enough for most professionals and casual users. The 135H is worth the extra for future-proofing and demanding operations.

[techtalktutorials]

How To Enable or Disable Hardware Acceleration In The Floorp Web Browser...

In this tutorial, learn how to enable or disable hardware acceleration in the Floorp Web Browser on your PC. Hardware acceleration improves performance by using your computer’s GPU for graphics-intensive tasks, but it can sometimes cause issues on certain setups. Follow this easy guide to adjust your settings and optimize your browsing experience. Don’t forget to like, subscribe, and share if you find this helpful!

1. Graphics Issues: Some users may experience graphical glitches or rendering issues when hardware acceleration is enabled. Disabling it can help resolve these problems.

2. Performance: In some cases, hardware acceleration can actually degrade performance, especially on older hardware or systems with incompatible graphics drivers. Turning it off might result in smoother performance, particularly if you're experiencing lag or stuttering.

3. Compatibility: Certain websites or web applications may not work properly with hardware acceleration enabled. Disabling it can sometimes improve compatibility with such sites.

4. Driver Issues: Outdated or incompatible graphics drivers can cause issues when hardware acceleration is enabled. Disabling it can help mitigate these problems until updated drivers are available.

5. Battery Life: On laptops and other portable devices, hardware acceleration can consume more power, potentially reducing battery life. Disabling it may help conserve battery power.

However, it's important to note that hardware acceleration is designed to improve performance and efficiency in most cases. Before disabling it, consider testing your browser's performance with and without hardware acceleration enabled to see if there's a noticeable difference. Additionally, keep in mind that disabling hardware acceleration might not always solve your issues, and it's just one of many troubleshooting steps you can take.

Simple Steps 1. Open the Floorp Web Browser. 2. Click on the 3 bar hamburger menu in the upper right corner and choose "Settings". 3. Select "General" from the left side pane. 4. In the center pane, scroll down to the "Performance" section and uncheck "Use Recommended Performance Setup" and "another checkbox will appear 5. Check or uncheck hardware acceleration.

[rocksvideoplayer]

Top Features of Rocks Video Player: Why It’s the Best for Media Lovers

When it comes to video players, a good app must provide smooth playback, support a wide variety of formats, and offer features that enhance user experience. Rocks Video Player checks all these boxes and more, making it an ideal choice for media lovers. Below, we explore the top features that set Rocks Video Player apart from the competition and why it's one of the best media players available today.

1. Support for All Major Video and Audio Formats

One of Rocks Video Player's standout features is its ability to handle virtually any video or audio format. Whether you're working with MP4, MKV, AVI, MOV, or lesser-known formats like RMVB and TS, this app seamlessly plays them all without the need for additional codecs or plugins. This versatility ensures that users never have to worry about format compatibility, allowing for a stress-free media experience.

In addition to video formats, it also supports multiple audio formats, including MP3, enhancing its appeal as an all-in-one media player. Users can easily switch between watching high-quality videos and listening to their favorite music, all within the same app​ (RocksPlayer).

2. 4K and Ultra-HD Video Playback

Media enthusiasts with high-resolution content will love that Rocks Video Player supports 4K and ultra-HD (UHD) video files. These formats offer stunning clarity and visual detail, and Rocks Video Player makes sure they play smoothly on your device, with no lags or stutters. Whether you're watching movies, documentaries, or high-resolution home videos, the app brings your content to life with vibrant visuals.

3. Hardware Acceleration for Smoother Playback

Rocks Video Player utilizes hardware acceleration, which offloads heavy decoding tasks from the CPU to the GPU, resulting in smoother playback for high-definition videos. This is particularly useful for 4K and ultra-HD content, which demands more processing power. With hardware acceleration, even large video files run without performance issues, giving users a seamless viewing experience ​(RocksPlayer).

4. Picture-in-Picture Mode (PIP)

One of the most convenient features for multitaskers is the Picture-in-Picture (PIP) mode. This feature allows you to shrink the video into a small floating window that remains on top of other apps, so you can continue watching while browsing the web, chatting with friends, or using other apps. PIP is especially handy for tutorials, video calls, or entertainment while working on other tasks.

5. Gesture Controls for Volume and Brightness

Rocks Video Player has made navigating through videos a breeze with its gesture-based controls. You can adjust brightness by swiping up or down on the left side of the screen and control volume by doing the same on the right side. These intuitive gestures make it easy to tweak your settings on the fly without interrupting your viewing experience.

Other features like pinch-to-zoom and screen lock further improve the usability of the app. You can zoom in on a video to focus on specific details, and lock the screen to prevent accidental touches while watching content​ (RocksPlayer).

6. Subtitle and Dual Audio Support

For fans of foreign-language films or videos with multiple audio tracks, Rocks Video Player comes equipped with subtitle support. You can easily download or add subtitles in various languages, enhancing your viewing experience by making it accessible to a global audience. Furthermore, the app supports dual audio functionality, which allows you to switch between different audio tracks within the same video file. This is perfect for bilingual users or those watching content with commentary options​ (RocksPlayer).

7. Background Playback

With Rocks Video Player, you don't have to keep the app open to enjoy your videos. It offers background playback, which allows videos to continue playing while you switch to other apps or even lock your phone. This feature works particularly well for music videos or podcasts, enabling you to treat the video file as an audio track and multitask effortlessly​ (RocksPlayer).

8. Video Downloader and Offline Viewing

For those who like to keep their favorite videos offline, Rocks Video Player includes a video downloader feature that lets users download content from popular social media platforms like Facebook and Instagram. This makes it easy to collect videos for later viewing without relying on an internet connection.

9. Customizable Themes and UI

Rocks Video Player lets users personalize their media player with multiple themes, including material and gradient designs. This customization feature allows users to tailor the look and feel of the player to match their preferences, adding a touch of personality to their media experience​ (RocksPlayer)

10. Equalizer with Bass Boost and Virtualizer

Lastly, audio enthusiasts will appreciate the built-in equalizer that comes with Bass Boost and Virtualizer features. This allows users to fine-tune the audio settings to their liking, enhancing both video and music playback with improved sound quality. Whether you're watching a movie or listening to a song, the equalizer adds depth and richness to your audio.

Conclusion

Rocks Video Player is more than just a standard video player. Its ability to support all major media formats, 4K playback, and unique features like Picture-in-Picture mode and hardware acceleration make it a go-to choice for media lovers. Whether you're a casual viewer or a serious movie buff, the app offers everything you need for a smooth, customizable, and enjoyable viewing experience. With advanced controls, background playback, and customizable themes, Rocks Video Player stands out as one of the best all-in-one media players on the market (RocksPlayer)

[akhirnp]

Maksimalkan Performa PC dengan VGA yang Tepat

Memilih VGA yang tepat sangat penting untuk meningkatkan performa sistem komputer Anda. VGA atau Video Graphics Accelerator memainkan peran krusial dalam pengalaman gaming dan pekerjaan desain grafis. Dengan memilih VGA yang sesuai, Anda bisa menikmati visual yang lebih halus, rendering yang lebih cepat, serta performa keseluruhan PC yang lebih optimal. Dampak signifikan VGA terhadap pengalaman gaming dan desain grafis: - Gaming: Kartu grafis yang kuat memastikan game berjalan lancar dengan frame rate tinggi dan resolusi maksimal. Ini membuat pengalaman bermain game lebih mendalam dan menyenangkan. - Desain Grafis: Bagi profesional di bidang desain grafis atau editing video, VGA yang mumpuni akan mempercepat proses rendering dan memungkinkan penggunaan software berat tanpa hambatan.

Memahami VGA dan Perannya dalam PC

VGA, atau Video Graphics Accelerator, merupakan komponen penting dalam sistem komputer yang bertanggung jawab untuk mengolah data grafis. Dengan kata lain, VGA adalah otak di balik tampilan visual yang Anda lihat di monitor. Fungsi utama VGA adalah untuk memproses dan merender gambar, video, dan animasi agar dapat ditampilkan dengan jelas dan lancar pada layar. Hubungan antara VGA, CPU, dan Motherboard Dalam sebuah PC, VGA bekerja bersama dengan CPU (Central Processing Unit) dan motherboard. CPU bertugas mengolah data secara umum, sementara VGA khusus menangani tugas-tugas grafis. Keduanya harus berkomunikasi dengan baik melalui motherboard agar performa sistem tetap optimal. Misalnya: - CPU mengirimkan data grafis ke VGA. - VGA memproses data tersebut menjadi output visual. - Hasilnya kemudian dikirim kembali ke monitor melalui koneksi VGA atau HDMI. Jenis-Jenis VGA yang Tersedia di Pasaran Ada berbagai jenis VGA yang bisa Anda temukan di pasaran, masing-masing dengan karakteristik dan kegunaan tersendiri: Integrated Graphics (Grafis Terintegrasi): Biasanya sudah termasuk dalam paket CPU. Cocok untuk tugas-tugas ringan seperti browsing atau pekerjaan kantor. Contoh: Intel UHD Graphics. Dedicated Graphics (Grafis Diskret): Merupakan kartu grafis tambahan yang dipasang pada slot PCIe di motherboard. Dapat menangani tugas-tugas berat seperti gaming atau desain grafis. Contoh: NVIDIA GeForce RTX 3060 atau AMD Radeon RX 5700 XT. Workstation Graphics: Dirancang khusus untuk aplikasi profesional seperti rendering 3D dan pengolahan video. Biasanya lebih mahal namun menawarkan stabilitas dan performa tinggi. Contoh: NVIDIA Quadro atau AMD Radeon Pro. Pemilihan jenis VGA sangat bergantung pada kebutuhan spesifik pengguna serta kompatibilitas dengan komponen lain dalam sistem komputer. Misalnya, memilih RAM yang cocok untuk motherboard juga merupakan faktor penting dalam menentukan performa keseluruhan sistem. Memahami peran dan fungsi dari setiap jenis VGA akan membantu Anda membuat keputusan yang lebih tepat sesuai dengan kebutuhan Anda.

Produsen GPU yang Tersedia: NVIDIA vs AMD

NVIDIA dan AMD adalah dua produsen utama GPU yang bersaing di pasar. Kedua perusahaan ini memiliki teknologi dan performa yang berbeda, sehingga penting untuk memahami kelebihan dan kekurangan masing-masing sebelum memutuskan pilihan. Perbandingan Teknologi dan Performa - NVIDIA dikenal dengan teknologi Ray Tracing yang memberikan pencahayaan dan bayangan lebih realistis dalam game. Selain itu, fitur seperti DLSS (Deep Learning Super Sampling) membantu meningkatkan performa tanpa mengurangi kualitas gambar. - AMD menawarkan teknologi Radeon Image Sharpening dan FidelityFX yang meningkatkan detail visual tanpa membebani performa. GPU AMD juga sering kali lebih terjangkau dibandingkan dengan produk sekelas dari NVIDIA. Kelebihan dan Kekurangan Berdasarkan Pengalaman Pengguna NVIDIA Kelebihan: Dukungan driver yang lebih sering diperbarui, fitur eksklusif seperti G-Sync, dan performa unggul dalam game AAA. Kekurangan: Harga cenderung lebih mahal, konsumsi daya lebih tinggi pada beberapa model kelas atas. AMD Kelebihan: Harga lebih kompetitif, efisiensi daya yang baik pada beberapa model, serta dukungan untuk monitor FreeSync. Kekurangan: Update driver kadang kurang konsisten, performa Ray Tracing belum sebaik NVIDIA. Pilihan Produk Unggulan Beberapa produk unggulan dari kedua produsen mencakup: NVIDIA Entry-Level: GeForce GTX 1650 Mid-Range: GeForce RTX 3060 High-End: GeForce RTX 3080 AMD - Entry-Level: Radeon RX 5500 XT Mid-Range: Radeon RX 6600 XT High-End: Radeon RX 6800 XT Memilih antara NVIDIA dan AMD tergantung pada kebutuhan spesifik Anda, baik dari segi anggaran maupun jenis aplikasi atau game yang akan dijalankan.

Menentukan Kebutuhan Berdasarkan Jenis Game atau Aplikasi

Memilih VGA yang tepat sangat bergantung pada jenis game atau aplikasi desain grafis yang Anda gunakan. Beberapa faktor penting yang perlu dipertimbangkan: Spesifikasi VGA untuk Game Tertentu - Game Ringan: Untuk game seperti League of Legends atau Dota 2, VGA entry-level seperti NVIDIA GTX 1650 atau AMD RX 570 sudah cukup memadai. - Game AAA: Game dengan grafis tinggi seperti Cyberpunk 2077 atau Red Dead Redemption 2 membutuhkan VGA dengan spesifikasi lebih tinggi seperti NVIDIA RTX 3070 atau AMD RX 6800 XT. - VR Gaming: Untuk pengalaman Virtual Reality, pilihlah kartu grafis dengan performa tinggi, misalnya NVIDIA RTX 3080 atau AMD RX 6900 XT. Pengaruh Resolusi dan Refresh Rate Monitor Resolusi dan refresh rate monitor sangat mempengaruhi pemilihan kartu grafis: - 1080p dengan 60Hz: VGA menengah seperti NVIDIA GTX 1660 Super cukup untuk menjalankan sebagian besar game. - 1440p dengan 144Hz: Membutuhkan VGA high-end seperti NVIDIA RTX 3060 Ti atau AMD RX 6700 XT untuk performa optimal. - 4K Gaming: Untuk bermain di resolusi ultra-high, pilihlah VGA kelas atas seperti NVIDIA RTX 3090 atau AMD RX 6900 XT, yang mampu menangani beban grafis besar. Aplikasi Desain Grafis Untuk aplikasi desain grafis dan editing video, pertimbangkan juga kebutuhan spesifik software yang digunakan: - Adobe Photoshop dan Illustrator: Kartu grafis menengah seperti NVIDIA GTX 1660 Ti sudah mencukupi. - 3D Rendering dan Video Editing: Software seperti Blender atau Adobe Premiere Pro membutuhkan VGA dengan performa tinggi, misalnya NVIDIA RTX 3060 Ti atau lebih tinggi. Memahami kebutuhan spesifik dari jenis game dan aplikasi desain grafis adalah langkah awal yang krusial dalam memilih VGA yang tepat.

Anggaran dan Pilihan VGA Berdasarkan Kategori

Menentukan anggaran yang realistis untuk pembelian kartu grafis baru sangat penting. Langkah pertama adalah menilai kebutuhan dan prioritas Anda. Apakah Anda seorang gamer berat atau sekadar membutuhkan VGA untuk tugas sehari-hari? Cara Menentukan Anggaran: Evaluasi Kebutuhan: Identifikasi jenis game atau aplikasi yang akan digunakan. Pertimbangkan resolusi dan refresh rate monitor. Riset Harga: Bandingkan harga produk di berbagai toko online. Cari ulasan pengguna dan benchmark performa. Tetapkan Batas Anggaran: Tentukan batas maksimum yang mampu Anda keluarkan tanpa mengorbankan kebutuhan lain. Contoh Produk: Entry-Level (Budget VGA): ASUS GTX 750 Ti: Kelebihan: Hemat energi, cukup kuat untuk gaming 1080p pada pengaturan medium. Kekurangan: Terbatas untuk game dengan grafis tinggi. - High-End (High-End VGA): NVIDIA GTX 1080: Kelebihan: Performa luar biasa untuk gaming 4K, VR-ready, dukungan teknologi terbaru. Kekurangan: Harga tinggi, konsumsi daya besar. Memilih antara budget VGA dan high-end VGA tergantung pada seberapa besar anggaran yang Anda siapkan serta apa yang ingin Anda capai dengan sistem PC Anda.

Memahami Spesifikasi Teknis VGA: Core Count, TDP, Tipe Memori, dan Bandwidth

Core Count: Kunci Performa Grafis Jumlah core pada kartu grafis atau core count adalah indikator utama kemampuan pemrosesan grafis. Core yang lebih tinggi biasanya menunjukkan performa yang lebih baik dalam menangani tugas-tugas berat seperti rendering video, desain grafis, dan gaming. Contoh nyata adalah perbandingan antara NVIDIA GeForce GTX 1650 dengan 896 CUDA cores dan RTX 3080 dengan 8704 CUDA cores, di mana RTX 3080 jauh lebih unggul dalam performa. Core Count Tinggi: Pro: Mampu menangani lebih banyak tugas secara bersamaan. Con: Biasanya memerlukan daya yang lebih besar. Core Count Rendah: Pro: Lebih efisien dalam penggunaan daya. Con: Kemampuan pemrosesan yang terbatas. TDP Rendah: Efisiensi Energi dan Pendinginan Thermal Design Power (TDP) mengukur jumlah panas maksimum yang dapat dihasilkan oleh sebuah kartu grafis dalam kondisi beban penuh. TDP rendah sangat penting untuk menjaga suhu sistem tetap stabil dan mengurangi kebutuhan akan pendinginan tambahan. Ini sangat bermanfaat jika Anda merakit PC di ruang terbatas atau ingin mengurangi kebisingan dari kipas pendingin. Keuntungan TDP Rendah: Mengurangi konsumsi daya listrik. Meningkatkan umur komponen karena suhu yang lebih rendah. Mengurangi kebutuhan akan sistem pendinginan yang kompleks. Sebagai contoh, NVIDIA GTX 1050 Ti memiliki TDP hanya sekitar 75W, ideal untuk PC dengan power supply terbatas atau casing kecil. Memori GDDR5X: Bandwidth Tinggi untuk Performa Optimal Memori pada kartu grafis juga memainkan peran krusial dalam performa keseluruhan. GDDR5X adalah generasi memori grafis yang menawarkan bandwidth lebih tinggi dibandingkan dengan generasi sebelumnya seperti GDDR5. Bandwidth yang tinggi memungkinkan transfer data yang lebih cepat, meningkatkan kinerja dalam aplikasi berat seperti game AAA dan rendering video 4K. Kelebihan GDDR5X: Transfer data lebih cepat. Meningkatkan performa aplikasi berat. Sebagai contoh, NVIDIA GTX 1080 menggunakan memori GDDR5X dengan bandwidth hingga 320 GB/s, jauh lebih cepat dibandingkan GDDR5 pada GTX 1060 yang memiliki bandwidth sekitar 192 GB/s. Dampak TDP pada Suhu dan Umur Komponen Memilih kartu grafis dengan TDP rendah bukan hanya soal efisiensi energi tetapi juga tentang menjaga suhu komponen lainnya tetap stabil. Panas berlebih bisa memengaruhi umur panjang komponen lain seperti CPU dan motherboard. Dengan TDP rendah: - Suhu Sistem Lebih Stabil: Mengurangi risiko overheating. - Umur Komponen Lebih Panjang: Suhu rendah membantu mempertahankan kinerja optimal komponen dalam jangka waktu lama. Untuk memastikan semua komponen bekerja secara optimal termasuk memilih prosesor PC yang tepat, penting untuk mempertimbangkan spesifikasi teknis dari setiap bagian.

Kompatibilitas dengan Sistem Anda: Memastikan Kesesuaian Antara Komponen PC

Memilih VGA yang tepat tidak hanya soal performa, tetapi juga memastikan bahwa kartu grafis tersebut kompatibel dengan sistem Anda. Berikut beberapa tips praktis untuk memeriksa kompatibilitas motherboard: - Periksa Slot PCIe: Pastikan motherboard Anda memiliki slot PCIe (Peripheral Component Interconnect Express) yang kompatibel dengan VGA yang ingin Anda beli. Sebagian besar VGA modern menggunakan slot PCIe x16. - Ukuran Fisik (Form Factor): Beberapa VGA memiliki ukuran yang lebih besar sehingga memerlukan ruang lebih di dalam casing PC. Periksa dimensi fisik VGA dan pastikan ada cukup ruang di casing Anda. - Kebutuhan Daya: VGA membutuhkan daya tambahan dari PSU (Power Supply Unit). Periksa apakah PSU Anda memiliki konektor daya yang sesuai dan cukup kuat untuk mendukung VGA baru tersebut. - Kompatibilitas BIOS: Beberapa motherboard mungkin memerlukan update BIOS agar dapat bekerja dengan baik bersama VGA terbaru. Kunjungi situs web produsen motherboard untuk informasi lebih lanjut. - Port Output: Cek port output pada VGA seperti HDMI, DisplayPort, atau DVI dan pastikan sesuai dengan monitor yang Anda gunakan. Dengan memperhatikan faktor-faktor ini, Anda dapat memastikan bahwa kartu grafis pilihan Anda dapat dipasang dan berfungsi optimal pada sistem PC yang Anda miliki.

Kesimpulan: Meningkatkan Performa Sistem Anda dengan Pemilihan VGA yang Tepat

Memilih VGA yang tepat sangat penting untuk memastikan performa PC Anda optimal, baik untuk gaming, desain grafis, maupun pekerjaan lainnya. Dengan memahami kebutuhan spesifik dan anggaran yang tersedia, Anda dapat membuat keputusan yang bijak dalam memilih kartu grafis baru. Poin-poin yang perlu diingat: - Tentukan kebutuhan berdasarkan jenis aplikasi atau game yang dijalankan. - Sesuaikan pilihan VGA dengan budget yang dimiliki. - Perhatikan spesifikasi teknis seperti core count, TDP, dan tipe memori. - Pastikan kompatibilitas dengan komponen lain dalam sistem Anda. Dengan mempertimbangkan faktor-faktor tersebut, Anda akan lebih mudah menemukan kartu grafis yang sesuai serta meningkatkan performa sistem Anda secara signifikan. Read the full article

[darkchopshopinfluencer]

The Future of AI Computing: How AMD is Shaping the Industry

The world of Artificial Intelligence (AI) computing is rapidly evolving, with AMD at the forefront of innovation. In this article, we will explore how AMD is shaping the industry and revolutionizing AI technologies. From their competitive edge against other companies to their groundbreaking GPU advancements, AMD is making waves in the AI computing space. Let's delve into the future of AI computing and see how AMD is leading the way.

Introduction

As technology continues to advance at an unprecedented rate, AI computing has become a crucial component of numerous industries. From healthcare to finance, AI is transforming the way we work and live. One company that is driving this transformation is AMD. With their innovative technologies and commitment to pushing boundaries, AMD is positioning themselves as a key player in the AI computing landscape.

Why Choose AMD Over the Competition?

When it comes to AI computing, choosing the right hardware is essential for optimal performance. AMD stands out from the competition for several reasons:

Performance

AMD processors are known for their exceptional performance capabilities, making them ideal for demanding AI workloads. With high core counts and impressive clock speeds, AMD CPUs can handle complex calculations with ease.

Cost-Effectiveness

In addition to their superior performance, AMD products are also more cost-effective compared to Browse around this site their competitors. This makes them an attractive option for businesses looking to maximize their ROI on AI computing infrastructure.

Versatility

AMD offers a wide range of products tailored to different AI applications. Whether you need a high-performance CPU for data processing or a powerful GPU for deep learning tasks, AMD has you covered.

AMD's Impact on GPU Technology

One area where AMD has made significant strides in recent years is GPU technology. GPUs play a crucial role in accelerating AI computations, making them essential for training neural networks and running complex algorithms.

Radeon Instinct Series

AMD's Radeon Instinct series of GPUs are designed specifically for AI workloads. With features like High Bandwidth Memory (HBM) and advanced compute capabilities, these GPUs deliver unparalleled performance for deep learning tasks.

Open Source Initiatives

AMD is also committed to open source development, collaborating with industry partners to create cutting-edge GPU technologies. By fostering an open ecosystem, AMD is driving innovation and pushing the boundaries of what GPUs can achieve in AI computing.

Innovative Technologies by AMD

AMD's dedication to innovation has led to several breakthrough technologies that are shaping the future of AI computing:

Infinity Fabric Architecture

Infinity Fabric Architecture allows different components within a system to communicate more efficiently, reducing latency and improving overall performance. This technology plays a crucial role in optimizing AI workloads and enhancing system scalability.

ROCm Software Platform

The ROCm software platform provides developers with a comprehensive set of tools for creating high-performance GPU-accelerated applications. By leveraging ROCm, developers can unlock the full potential of AMD GPUs and streamline their AI workflows.

FAQs about The Future of AI Computing: How AMD is Shaping the Industry