#gddrs

[samsongeko1]

AI 가속기용 그래픽D램 수요↑…"삼성전자 점유율 70% 기대"

[mosdisplay-blog]

Новый флюс для пайки: тестируем улучшенную версию Sigma Liquid Тестируем новый флюс для пайки — Sigma Liquid! Улучшенная формула, лучшая работа с GDDR и видеокартами, но действительно ли он так хорош? Артем уже проверяет его в деле. Стоит перейти на новинку или старые методы надежнее? Мастера, кто уже пробовал? Делитесь опытом в комментариях!

[ithardware-info]

Recommended CAD workstation for an architect or a civil engineer

In this modern world software solutions are available to support every business and industry. Computer-aided design (CAD) software solutions AutoCAD, Revit and Inventor are some of the CAD solutions and toolkits available to make CAD designs and models in today’s architecture, construction and engineering industries.

With the help of these wonderful tools architects, engineers and designers can make amazing detailed models for their projects to take their business forward and to remain successful.

Architects or civil engineers can showcase their project models as a ‘proof of concept’ to demonstrate the project's result to the new clients before signing the agreement with the help of the models they have created by using CAD solutions.

 This is true with the architecture industry in the building design stage, and also for many design firms with challenges. These types of projects need to showcase the detailed model of the end result of the project before the client for planning permissions, meeting sustainability needs, or just to show the client the well-thought-out design and beauty of their house on which they put their heavy investments.

So, it’s worth the construction and architecture industry depends so much on software companies like Symetri and Autodesk to create the software solutions and tools that are crucial to meet all of this and more.

Can we use powerful CAD software on just any computer or workstation? No, we can’t.

To get the end results craving for, it is crucial to make sure that we have the hardware compatible with the software needs.  It is essential to have the best and latest in hardware technology that is tailored to all of to CAD applications..

Here we gave one of the best-recommended hardware for CAD workstations that is perfect for Architects, and designers alike in making the very best in 3D models rendering complex textures and graphics to exhibit to clients.

We are introducing a powerful, portable, and robust workstation with a stylish and quality finish, ideal for illustrating your design in client meetings.

The HP ZBook Studio G9 16″ Mobile Workstation is one of a kind.

HP ZBook Studio G9 16″ Mobile Workstation

Technical Specifications:

Processor: Intel Core i9 (12th Gen) 12900H / 2.5 GHz (5 GHz)

RAM:32 GB DDR4

Storage Drive: 1 TB SSD – NVMe

GPU: NVIDIA RTX A3000 12 GB GDDR6 SDRAM

Display

Display:16" IPS 3840 x 2400

(WQUXGA) @ 120 Hz

Battery life: 6-cell - up to 9.5 hours

Reasons for recommending this workstation:

Here are a few crucial factors to consider when investing in a mobile CAD workstation:

Speedy CPU performance, The latest i9 model CPU offers multiple cores for CPU rendering.

A generous amount of multi-tasking is possible without any performance lag because of the memory of up to 32GB RAM.

The latest NVIDIA RTX A3000 and many GPU choices are available, all with perfect GDDR memory to run an array of CAD applications. You can also get superior GPU rendering and precisely detailed textures with faster clock speeds.

The best display with full HD WLED / OLED display options across a 15.6” or 16”

Features high-speed standard 512GB or 1TB NVMe SSD storage along with the availability of extra storage capacities.

Excellent battery with fast-charging cable that can charge the battery half in half an hour. And last for up to 9.5 hours.

This is an HP mobile workstation. All HP Workstations have hardware that ISV is certified by Autodesk, so you can work peacefully as this is tested and approved at the highest level.

All these CAD workstations have at least 3 years of on-site warranty and help solve unlikely issues quickly by certified engineers.

[henriquecomimoveis]

UNBOXING RX 580 8GB DUEX - SERÁ QUE PRESTA? - PLACA DE VÍDEO, 8GB, GDDR...

[govindhtech]

AI Memory Function: The Secret to Smarter Decisions

AI Memory

Contrary to popular belief, humans and artificial intelligence (AI) share many traits. Even while AI is incapable of walking or feeling emotions, it does depend on memory, a critical cognitive ability shared by humans. Learning, reasoning, and adaptation are made possible by AI memory. AI employs memory to store and retrieve data necessary for certain tasks, just as humans do to recall prior experiences and apply knowledge to current circumstances. This article examines memory’s crucial function in artificial intelligence, including everything from its fundamental significance to the ethical issues and upcoming developments influencing its development.

Memory’s two faces

AI is capable of using both long-term memory and short-term working memory. When using the compute processor, short-term memory functions similarly to a cognitive workspace, allowing for instantaneous data manipulation and decision-making. When AI systems have to process and react to spoken or written words, like in real-time language translation, this kind of AI Memory comes in handy. For example, an chatbots rely on short-term memory to keep context intact during a dialogue, guaranteeing well-reasoned and pertinent responses.

Memory AI

AI’s long-term memory serves as a storehouse for previously learned material and life experiences. AI systems with this kind of memory are able to identify trends, gain knowledge from past data, and forecast behavior. Memory AI medical records and creates treatment plans in the healthcare industry using long-term memory, assisting physicians in making wise decisions.

The memory test

When compared to human memory, artificial intelligence memory still faces a number of difficulties, chief among them being latency and speed issues. Even though AI can process data at extremely fast speeds, it is not as efficient as human cognition at quickly integrating and contextualizing knowledge. Due to its slower reaction time, AI is less effective than humans in activities that call for quick, practical thinking and flexibility.

In these situations, human intuition and experience are superior. However, this becomes less of an issue as memory and compute technology develop. System performance functions similarly to the manufacturing industry’s Theory of Constraints management paradigm; when one restriction is lifted, a new one is imposed. Advanced artificial intelligence (AI) systems are increasingly becoming constrained by the quantity of energy they receive.

Memory solutions that reduce energy consumption and maximize computational performance are necessary for AI systems, especially those operating in resource-constrained areas such as data centers, mobile devices, and small drones. Low-power memory technologies like LPDDR5X, high-bandwidth memory (HBM), and DDR5 DRAM need to be innovated in order to address these problems.

AI Memory Future

Technological developments in memory are about to completely transform AI applications in a variety of fields. Data processing bandwidth and speeds are greatly increased by HBM and graphics memory (GDDR). For applications that require real-time analysis of massive datasets, this progress is essential. High-speed memory, for example, makes it possible for sophisticated AI algorithms to quickly assess medical pictures in the healthcare industry, resulting in speedier and more precise diagnosis.

A paradigm change in AI memory design, neuromorphic computing is based on the parallel processing capacities of the human brain. These brain-inspired designs mimic the distributed and interconnected characteristics of neural networks in an effort to improve AI’s adaptability, fault tolerance, and energy efficiency. In order to achieve artificial general intelligence (AGI), where AI systems can execute a wide range of activities with human-like cognition, research in neuromorphic computing appears promising.

Advantages of having a good memory

Strong AI models with high-bandwidth memory support make it possible to create more adaptable and autonomous systems that can learn from big datasets. This could speed up the process of adjusting to new knowledge, resulting in improvements in financial forecasting, predictive maintenance, and personalized care. To anticipate future trends and enhance investment strategies, AI-powered predictive analytics in the banking industry, for instance, use historical market data that has been kept in long-term memory.

Ethics pertaining to long-term memory

The evolution of AI systems to store data for longer periods of time raises ethical questions about data privacy, bias amplification, and decision-making openness. The implementation of frameworks such as explainable AI (XAI) to improve transparency and accountability is necessary to ensure responsible AI development. By using XAI approaches, AI Memory can mitigate any biases resulting from long-term memory and build trust by explaining their conclusions in a way that is understandable to humans.

Leading the way in memory solutions for the AI revolution is Micron

Leading the way in creating memory solutions that are essential to the development of AI is Micron. The advancements in high-bandwidth memory solutions, DRAM, and NAND greatly improve the effectiveness and performance of AI systems, opening up a plethora of applications in many industries.

Because of Micron’s strong supply chain, global R&D footprint, leadership in memory nodes, and industry-leading memory and storage product range spanning the cloud to the edge, they are able to forge the strongest ecosystem alliances possible to hasten the spread of artificial intelligence.

Read more on govindhtech.com

[magpiejay1234]

Apparently Microsoft is going the Steam Machine route, and going to allow third party creators to make their own variants of Xbox.

So, Sony can technically make a Sony Xbox.

This is basically leaving the console market while leaving your foot behind.

This is actually a much more complicated topic about Microsoft's recent Copilot+ PC launch, and competition with Apple, but we don't have time to discuss that, and we still don't know how Sony will respond, given their own plans involving ARM.

****

DDR6 is coming out in Q2 2025, though it will take a while for motherboards, and CPUs to fit it.

This doesn't mean much for consoles, especially considering the Xbox news, since DDR memory is used for less important stuff. Consoles primarily use GDDR memory, and GDDR7 is already available now, and it will be while for GDDR8 to come (possibly another 7 years).

However, this will mean machine-learning in PCs will become more boosted, which in turn might mean we might get even more computer performance with each successive updates.

[thewirely]

The tech industry is abuzz with the latest advancement in high-performance memory technology: GDDR7. First foreshadowed during the Tech Day 2022 held by Samsung, GDDR7 has been a popular topic to discuss since then and especially with its prospect of showing off in February’s upcoming IEEE International Solid-State Circuit Conference that will take place at San Francisco. GDDR, or Graphics Double Data Rate memory that was previously referred to with DDR SGRAM (double data rate synchronous graphics RAM) is a critical element in high-performing devices especially in the fields of graphics and AI. The conference session entitled “A 16Gb,37 Gb/s GDDR7 DRAM with PAM3-Optimized TRX Equalization and ZQ Calibration” should reveal more details about this novel memory standard. One of the major improvements that GDDR7 brings over its predecessors is PAM3 and NRZ signaling, which results in data rates up to 37 Gbps per pin. This evolution stems from a demand for improving memory bus frequency and performance without significantly increasing the internal clocks of these cells. Innovations such as GDDR6X are a result of the industry’s push for higher performance, which introduced PAM4 encoding to double data transfer rates in this technology. PAM4 also lowered the baud rate greatly, which minimized signal losses. However, GDDR7 uses PAM3 encoding – the middle ground between PAM4 and NRZ signaling. This compromise enables greater data rates per cycle than NRZ, thereby reducing the need for higher memory bus frequencies. GDDR7 does not only suggest performance improvement as opposed to the existing version of its predecessors but lower power consumption and implementation costs compared with that resulting from using GDDR6X. Other characteristics include four read clock modes providing maximum efficiency and power regulation, as well as two commands issued at once. GDDR7 expectations are huge, especially after the forecast of its incorporation into new-gen GPUs by AMD and NVIDIA sometime in 2019. This novel technology introduces amazing changes in the world of high-performance computing, potentially becoming a new benchmark for computer graphics and AI.

[neochannel]

Tekken 8 - GTX 1050 Ti Benchmark All Settings | TAA, TSR, NIS, FSR 1.0, FSR 2, XeSS - Gameplay

Benchmark GPU Nvidia GeForce GTX 1050 Ti in Tekken 8 (2024) [Low, Medium, High, Ultra] with i7 8750h + GTX 1050 Ti + Gameplay Catmull-Rom Bicubic (70%), TAA (70%), TFR (70%), FSR 1.0 (70%), FSR 2 (Balanced), NIS (70%), XeSS (Balanced)

👇👇👇 Look at what bonuses I offer to sponsors: https://www.youtube.com/channel/UCO346ZpBN8jnD0fsqgF2stA/join Voluntary donations for the channel: https://www.youtube.com/c/NeochannelNeochannel/about

Timecode: 00:00 System configuration 00:25 Benchmark GTX 1050 Ti - All Setting 02:30 Benchmark Results Gameplay | Medium 02:50 Medium Catmull Rom 70% 05:40 Gameplay Medium + TAA - 70% 07:00 Gameplay Medium + TSR - 70% 09:00 Gameplay Medium + FSR 1.0 - 70% 10:55 Gameplay Medium + FSR 2 - Balanced 12:40 Gameplay Medium + NIS - 70% 14:10 Gameplay Medium + XeSS - Balanced Gameplay | Ultra 16:40 Gameplay Ultra + FSR 2 - Ultra Performance 19:05 Gameplay Ultra + FSR 2 - Balanced

System configuration: CPU: intel core i7 8750H (3.9 GHz) MOTHERBOARD: Aspire A715-72G (Intel  HM370) RAM: DDR4 Micron 8ATF1G64HZ-2G6E1  2x8 Gb (2666 MHz) GPU: GeForce GTX 1050 Ti 4 GB (GDDR-5) SSD: M.2 WDC PC SN520 SDAPNUW-512G-1014 (512 Gb)  (swap and game  files) PSU: Laptop Charger 135w 19V 7.1A

____ #tekken8  #gtx1050ti #8750h #benchmark #intel #corei7 #Acer #gtx1050  #tekken8gameplay #tekken8Benchmark #tekken8cbt #tekken8hype #tekken8king #tekken8bryan #tekken8cnt #tekken8fengwei

[phonemantra-blog]

DRAM by 3-8% It looks like we should expect an increase in the cost of RAM shortly. According to TrendForce analysts, there is already a noticeable increase in prices for DRAM memory chips. Also for NAND memory, but we already talked about this recently. [caption id="attachment_68797" align="aligncenter" width="600"] DRAM and GDDR6 memory[/caption] Prices for GDDR graphics memory are also expected to rise, which will lead to higher prices for video cards and gaming laptops. True, given the prices of the latter, the price increase is unlikely to be particularly noticeable. DRAM and GDDR6 memory will increase in price But as for video cards, the situation is very interesting. According to analysts, the niche market dynamics of rising prices for adapters arose because video card buyers agreed with the price increase. This has led to projected strong purchases of GDDR6 16GB chips, which should lead to higher prices for this particular memory model in 2024. That is prices will rise because buyers initially agreed to pay a lot for new video cards. Returning to DRAM, DRAM prices are expected to increase by 3-8% in one quarter, and it is not a fact that the growth will stop there. At the same time, DDR5 memory for PCs was already becoming more expensive in the third quarter. The main reason for the new projected price increase for DDR5 and DDR4 is Samsung's recent inventory reduction initiative.