#Threadripper CPUs

[phonemantra-blog]

The company reported for the third quarter of fiscal year 2023 A few days after Intel, AMD also published its financial report. The company has completed the third quarter of fiscal year 2023. [caption id="attachment_78911" align="aligncenter" width="780"] AMD's[/caption] If Intel's revenue decreased and net profit fell by more than 70%, then AMD's situation is better. Revenue rose 8% to $5.8 billion, and operating profit amounted to $224 million versus a loss of $64 million a year earlier. Net income rose more than 1,000% to $299 million. AMD's net profit grew by 1000% and equaled Intel's net profit By the way, Intel's net profit was only $1 million higher, which is very interesting. At the same time, Intel's revenue is almost 2.5 times higher than that of its competitor. It’s also worth noting that the data center products segment did not grow year-on-year in the past quarter, although it has been actively driving AMD’s revenue upward in recent years. But sales in the consumer segment increased by 42%, mainly due to the full entry into the market of Ryzen 7000 mobile APUs. AMD's gaming business fell 8% due to lower revenue from sales of semi-custom products.

[blubberquark]

Share Your Anecdotes: Multicore Pessimisation

I took a look at the specs of new 7000 series Threadripper CPUs, and I really don't have any excuse to buy one, even if I had the money to spare. I thought long and hard about different workloads, but nothing came to mind.

Back in university, we had courses about map/reduce clusters, and I experimented with parallel interpreters for Prolog, and distributed computing systems. What I learned is that the potential performance gains from better data structures and algorithms trump the performance gains from fancy hardware, and that there is more to be gained from using the GPU or from re-writing the performance-critical sections in C and making sure your data structures take up less memory than from multi-threaded code. Of course, all this is especially important when you are working in pure Python, because of the GIL.

The performance penalty of parallelisation hits even harder when you try to distribute your computation between different computers over the network, and the overhead of serialisation, communication, and scheduling work can easily exceed the gains of parallel computation, especially for small to medium workloads. If you benchmark your Hadoop cluster on a toy problem, you may well find that it's faster to solve your toy problem on one desktop PC than a whole cluster, because it's a toy problem, and the gains only kick in when your data set is too big to fit on a single computer.

The new Threadripper got me thinking: Has this happened to somebody with just a multicore CPU? Is there software that performs better with 2 cores than with just one, and better with 4 cores than with 2, but substantially worse with 64? It could happen! Deadlocks, livelocks, weird inter-process communication issues where you have one process per core and every one of the 64 processes communicates with the other 63 via pipes? There could be software that has a badly optimised main thread, or a badly optimised work unit scheduler, and the limiting factor is single-thread performance of that scheduler that needs to distribute and integrate work units for 64 threads, to the point where the worker threads are mostly idling and only one core is at 100%.

I am not trying to blame any programmer if this happens. Most likely such software was developed back when quad-core CPUs were a new thing, or even back when there were multi-CPU-socket mainboards, and the developer never imagined that one day there would be Threadrippers on the consumer market. Programs from back then, built for Windows XP, could still run on Windows 10 or 11.

In spite of all this, I suspect that this kind of problem is quite rare in practice. It requires software that spawns one thread or one process per core, but which is deoptimised for more cores, maybe written under the assumption that users have for two to six CPU cores, a user who can afford a Threadripper, and needs a Threadripper, and a workload where the problem is noticeable. You wouldn't get a Threadripper in the first place if it made your workflows slower, so that hypothetical user probably has one main workload that really benefits from the many cores, and another that doesn't.

So, has this happened to you? Dou you have a Threadripper at work? Do you work in bioinformatics or visual effects? Do you encode a lot of video? Do you know a guy who does? Do you own a Threadripper or an Ampere just for the hell of it? Or have you tried to build a Hadoop/Beowulf/OpenMP cluster, only to have your code run slower?

I would love to hear from you.

[swanettesims]

Hii ! Can I please ask what is your PC specs, or what PC do you use? Tysm🥹💗

hi love, of course you can! my pc is a completely self build custom pc, but it's very very old now (from 2018/19) the specs are: cpu: amd ryzen threadripper 1920x 12-core processor ram: 64gb (yes it's a lot) 3 ssd's (one 2 tb and two one tb's) geforce rtx 2080 if you wanna know anything else, feel free to ask! <3

[heavenpierceher]

youtube to me is the speedrun analysis+vintage hardware decompilation videos machine. every video i watch is titled some shit like Racing the Beam Explained - Atari 2600 CPU vs. CRT Television or SSL Pyramid from Lower Entrance A Presses (Inside 1xA, Puzzle 1xA) or 100 Copies of Doom vs Threadripper 7995WX PRO 96-core 192-thread CPU or some shit. I think my version of the website is better

[demigirlboss2girlrotboogaloo]

Honestly, this can't last. It'll collapse eventually, and when it does a *lot* of things are going to end up in landfills. Cloud computing was supposed to be cheaper, easier, more scalable, but as time's gone on the price gouging by both hardware vendors and the hyperscalers that provide the services has made it less and less viable for most people and organizations to opt for cloud storage and compute. I can't find the exact quote right now, but Wendell from Level1Techs once made a really good point about how it used to be that you would just buy a thinclient, and hook it up to a cloud compute server, and you wouldn't have to worry about stocking and maintaining expensive hardware. But nowadays, the cost of cloud storage and compute and honestly even the thinclients is so ridiculously astronomical that in a lot of cases organizations are better off just getting high power NUCs instead, since while yes a fleet of those might cost you fifty-odd thousand dollars, you will have already made that money back in a year from all the cloud subscriptions you aren't paying anymore.

And again, as much as hyperscalers like IBM and Google are to blame for this, the hardware vendors are equally to blame. Nvidia's getting as high as 1000% margins on some of their products, and AMD isn't far behind. Intel is thankfully still willing to price themselves into categories that their competitors sneer at, but that's only gonna last until they get established in the dGPU business again (shoutout Knight's Landing my beloved), which would also propel their CPU offerings higher (and frankly at the moment I trust Sapphire Rapids more than I do Threadripper, don't think we forgot about what you did to TR5000 you bastards), which are significantly higher margin products due to being produced directly by Intel Foundry Services rather than an external fab (namely TSMC) like their GPUs are.

So yeah, give it a bit, the bubble will burst soon enough and if it doesn't hopefully USB4 PCIe passthrough catches on on phones and other mobile devices. Fingers fucking crossed. And if we're feeling brave let's maybe pray that USB-IF writes a USB standard that actually includes all the features instead of me having to buy Thunderbolt cables.

smartphone storage plateauing in favor of just storing everything in the cloud is such dogshit. i should be able to have like a fucking terabyte of data on my phone at this point. i hate the fucking cloud

[lakshmiglobal]

Best Workstation for Game Development Workstation

A game development workstation needs powerful hardware for game design, 3D modeling, coding, animation, and real-time rendering in game engines like Unreal Engine 5, Unity, Blender, and Maya. Whether you're an indie developer, AAA studio professional, or student, choosing the right workstation can boost performance and productivity.

1. High-Performance Workstations for AAA Game Development

Ideal for large-scale game projects, real-time rendering, and high-end 3D asset creation.

🔹 Dell Precision 7865 Workstation

CPU: AMD Ryzen Threadripper PRO 5995WX (64 cores)

GPU: NVIDIA RTX 4090 / RTX A6000

RAM: Up to 1TB DDR5

Storage: Dual NVMe SSDs (RAID support) + HDD for project backups

Best For: Unreal Engine 5, 3D asset creation, and physics simulations.

Why Choose It? Ultimate multitasking and rendering performance for large projects.

🔹 HP Z8 Fury G5 Workstation

CPU: Intel Xeon W9-3495X (56 cores)

GPU: NVIDIA RTX 6000 Ada Generation

RAM: Up to 2TB DDR5

Storage: Multiple PCIe Gen4 NVMe SSDs

Best For: AI-driven game development, large-scale world-building, and animation.

Why Choose It? ISV-certified for professional game development workflows.

🔹 Apple Mac Studio (M2 Ultra)

CPU: Apple M2 Ultra (24-core CPU)

GPU: 76-core integrated GPU

RAM: Up to 192GB Unified Memory

Storage: Up to 8TB SSD

Best For: Unity developers, animation, and indie game dev with macOS.

Why Choose It? Powerful and optimized for macOS game development tools.

2. Mid-Range Workstations for Game Developers & Indie Studios

Best for freelancers, small teams, and developers working on mid-sized games.

🔹 Lenovo ThinkStation P620

CPU: AMD Ryzen Threadripper PRO 5975WX (32 cores)

GPU: NVIDIA RTX 4080 / RTX A5000

RAM: Up to 512GB DDR4

Storage: Dual NVMe SSDs + HDD options

Best For: Blender, Unreal Engine 5, and procedural content generation.

Why Choose It? Balanced performance at a lower price than high-end workstations.

🔹 Dell XPS 8960 Desktop

CPU: Intel Core i9-13900K (24 cores)

GPU: NVIDIA RTX 4090

RAM: Up to 128GB DDR5

Storage: 2TB NVMe SSD + HDD options

Best For: Unity, game programming, and asset creation.

Why Choose It? Great price-to-performance ratio for mid-tier game development.

🔹 Apple MacBook Pro 16” (M3 Max)

CPU: Apple M3 Max (16-core CPU)

GPU: 40-core GPU

RAM: Up to 128GB Unified Memory

Storage: Up to 8TB SSD

Best For: Mac-based Unity development, 3D modeling, and mobile game design.

Why Choose It? Best portable workstation for macOS-based game development.

3. Budget-Friendly Workstations for Game Development

For students, beginners, and indie developers on a budget.

🔹 Apple Mac Mini M2 Pro

CPU: Apple M2 Pro (10-core CPU)

GPU: 16-core GPU

RAM: Up to 32GB Unified Memory

Storage: Up to 2TB SSD

Best For: Indie game dev, pixel art, and 2D Unity projects.

Why Choose It? Affordable and optimized for macOS development.

🔹 ASUS ProArt PA90 Workstation

CPU: Intel Core i7-12700K / i9-13900K

GPU: NVIDIA RTX 4060 / 4070

RAM: Up to 64GB DDR5

Storage: 1TB SSD

Best For: Blender, indie game dev, and small-scale Unity projects.

Why Choose It? Compact and reliable workstation with strong performance.

🔹 Lenovo Legion Tower 7i (Gaming Workstation)

CPU: Intel Core i7-13700KF

GPU: NVIDIA RTX 4070 Ti

RAM: 32GB DDR5

Storage: 1TB NVMe SSD

Best For: Beginner game developers, students, and asset creation.

Why Choose It? Great entry-level game dev PC with high-end gaming performance.

4. Essential Peripherals for Game Development

💻 Monitor: LG UltraGear 32” 4K / Dell UltraSharp 32” HDR – High refresh rate for testing 🖱 Mouse: Logitech G Pro X Superlight / Razer Naga X – Precision and extra buttons for shortcuts ⌨ Keyboard: Corsair K95 RGB / Keychron K6 – Mechanical keyboards for comfortable typing 🎧 Audio: SteelSeries Arctis Pro / Audio-Technica ATH-M50x – Clear sound for audio design 🎮 Gamepad: Xbox Elite Controller / DualSense – Essential for game testing

Choosing the Right Workstation for Game Development

✔ AAA Game Studios & Large Projects? → Dell Precision 7865, HP Z8 Fury, Mac Studio M2 Ultra ✔ Mid-Tier Indie Developers & Freelancers? → Lenovo P620, Dell XPS 8960, MacBook Pro M3 Max ✔ Global Nettech? → Mac Mini M2 Pro, ASUS ProArt, Lenovo Legion Tower

game development workstation

[wainswright]

Air cooling is the way to go unless you have a tower PC.

The reason I was looking into sealed watercooling systems is a CPU block plus tubing takes up less space in total especially for a power hungry ryzen cpu (threadripper even?!) than a potentially noisier air cooling system, and you can more or less lock it all into place (even if imo the most reliable black tubing doesn’t look sexy if the insides are all exposed- but you still have to have ideally three fans space worth of radiator (for that level of cooling) to vent the air well enough, which means it’s impressive case organization to get it compact enough to take advantage of the potential space saved by the lack of air cooling anyway. If it’s a more normal cpu, you can get away with two fans worth of radiator space, but its a lot of effort for not as much reason.

then you have GPUs, which are hypothetically the real space saver here. assuming installation is perfect, that means more need for radiator space and same problem as above.

optimally: aio 2 vent system for cpu, keep gpu as is in sandwich configuration, yes? Vents out the top, negative air flow, and I’m not doing that sealed system nonsense, i can live with a little water tank mounted on the outside for ease of everything in re: maintenance.

Yeah i can follow my own thought process. Maybe i will keep it for this future build. Im sure theres a case like that i can cram the most overbuilt pc in.

[granth]

Revolutionizing AI & Machine Learning with Kryptronix High-Performance Workstations

Introduction

Artificial Intelligence (AI) and Machine Learning (ML) require immense computational power, high-speed processing, and efficient storage solutions. Kryptronix specializes in building high-performance workstations designed for AI research, deep learning, and data science applications.

1. Challenges in AI & ML Computing

AI professionals and data scientists face various challenges, including:

Complex Computations: Handling vast datasets and deep learning models.

Processing Speed: Running intensive algorithms without delays.

Hardware Optimization: Maximizing GPU and CPU performance.

Scalability: Expanding infrastructure as projects grow.

2. Kryptronix AI Workstation Solutions

Kryptronix provides cutting-edge hardware tailored for AI and ML applications, featuring:

Powerful GPUs: NVIDIA RTX 4090, A100, or AMD Instinct accelerators.

Multi-Core CPUs: AMD Threadripper and Intel Xeon for heavy computations.

High-Speed Storage: NVMe SSDs for rapid data retrieval.

Efficient Cooling Systems: Keeping performance stable under heavy workloads.

Custom Configurations: Optimized for TensorFlow, PyTorch, and Scikit-learn.

3. Case Example: AI Research Lab Performance Boost

An AI research team specializing in deep learning faced slow model training times and hardware limitations. Kryptronix delivered:

NVIDIA A100 Workstations: Accelerated training speeds by 60%.

128GB DDR5 RAM: Enabled efficient multitasking on large datasets.

Optimized Storage Solutions: Dual NVMe SSDs for fast access.

With Kryptronix solutions, the lab reduced model training time from weeks to days, significantly improving research efficiency.

4. Why Choose Kryptronix for AI & ML?

Kryptronix workstations stand out due to:

Custom AI-Optimized Builds: Tailored for deep learning and data science.

Scalability & Upgradability: Future-proof configurations.

Reliable Performance: Engineered for uninterrupted workloads.

Conclusion

Kryptronix empowers AI researchers and data scientists with high-performance computing solutions, optimizing model training and data processing for cutting-edge innovations.

Upgrade your AI & ML workstations with Kryptronix at Kryptronix.

[playitvison]

The new AMD Ryzen AI Max laptop CPU is like “Threadripper in your hands”

According to a senior AMD colleague, he owns one of the new companies AMD Ryzen AI Max laptop CPUs are a bit like having a “Threadripper to fit in the palm of your hands.” It’s all thanks to an all-new chip design, codenamed Strix Halo, which combines 16 cores with a surprisingly powerful integrated GPU. these AMD Strix Halo Central processing units (CPUs), which so far includes the recently…

[computer8920]

Intel vs AMD: A Deep Dive into the Ongoing Processor Battle

In the ever-evolving world of computer hardware, Intel and AMD have been locked in a fierce competition for processor supremacy. This rivalry has fueled tremendous innovation, pushing both companies to create CPUs that offer the best performance, efficiency, and value for consumers. From their historical beginnings to the current market dynamics, this battle continues to shape the landscape of modern computing.

Historical Background

The Intel vs. AMD rivalry dates back to the 1980s when AMD entered the microprocessor market. Intel had already established itself as the dominant player with its x86 architecture, but AMD quickly became a worthy adversary by introducing processors that were compatible with Intel’s design while also offering more affordable alternatives. This competition laid the foundation for a series of innovations, where both companies continually sought to outpace each other in speed, efficiency, and features.

Over the years, Intel and AMD have each pushed the boundaries of CPU technology. Their rivalry has given consumers a wide variety of processors to choose from, catering to diverse needs and budgets, thus benefiting the tech community at large.

Current Market Dynamics

Today, Intel and AMD continue to battle for market share across multiple segments, including consumer desktops and laptops, high-performance computing, and server markets. Both companies offer a range of processors designed for specific use cases, leading to competitive pricing and performance improvements.

Consumer Desktops and Laptops

In the consumer market, Intel and AMD target users with different performance levels. Intel’s Core i3, i5, i7, and i9 series compete directly with AMD’s Ryzen 3, 5, 7, and 9 processors. The choice often boils down to individual needs—whether it's gaming, content creation, or multitasking.

AMD has made notable strides in recent years with its Ryzen series, which provides more cores and threads than Intel’s offerings at similar price points. This makes AMD appealing to users requiring excellent multi-threaded performance for tasks like video editing, rendering, and gaming.

High-Performance Computing

For power users in fields like 3D modeling, video production, and scientific simulations, Intel’s Core X-Series and AMD’s Ryzen Threadripper are the go-to processors. Both companies have focused on delivering top-tier performance for these demanding applications, often leveraging cutting-edge technology to gain an edge.

Server and Data Center

The battle extends to the server and data center markets, where Intel’s Xeon processors and AMD’s EPYC chips compete for dominance. AMD has made significant inroads with EPYC, challenging Intel’s long-standing lead in this space with processors that offer high core counts and superior performance-per-dollar ratios.

Key Differentiators

Several factors differentiate Intel and AMD processors, influencing the choice of consumers and businesses alike.

Architecture: Intel uses its x86 architecture, while AMD employs its AMD64 architecture. Both designs differ in instruction execution and power efficiency.

Manufacturing Process: Both companies have advanced their manufacturing processes. Intel historically led in this area, but AMD has caught up with its shift to 7nm and 5nm processes, closing the performance gap.

Integrated Graphics: Intel processors often feature integrated graphics. At the same time, AMD’s Ryzen chips also offer integrated Radeon graphics, making them strong contenders for users who want decent graphics performance without a dedicated GPU.

Price-Performance Ratio: AMD has built a reputation for offering competitive price-to-performance ratios, providing more cores at lower prices. Intel, however, focuses on specialized features like Quick Sync for video encoding and Thunderbolt support.

Conclusion

The Intel vs. AMD rivalry continues to drive advancements in CPU technology, ensuring consumers have access to cutting-edge, competitively priced processors. Whether you're focused on gaming, content creation, or enterprise-level computing, both companies offer compelling options that cater to various needs. Ultimately, the ongoing competition between Intel and AMD benefits consumers, guaranteeing powerful, efficient processors and pushing the boundaries of what’s possible in computing.

Want to Buy Intel and AMD CPUs in Bulk at Affordable Prices from VSTL?

VSTL offers a wide selection of processors from leading brands, ensuring high performance, efficiency, and competitive pricing. Whether you need processors for desktops, laptops, or high-performance computing, VSTL provides bulk purchasing options tailored to your needs. With access to the latest models and excellent customer service, buying Intel and AMD CPUs in bulk from VSTL is a smart choice for businesses and tech enthusiasts looking to save while upgrading their systems.

[phonemantra-blog]

Already next week The Starfield game, as you know, was created with the active support of AMD and works much better on Radeon video cards. However, owners of GeForce adapters will soon have a reason to rejoice, as DLSS will be added to the game. [caption id="attachment_78515" align="aligncenter" width="780"] AMD's[/caption] AMD's Starfield Game Will Get DLSS 3 Before FSR 3 Next week the developers will release a beta version of the update, which will bring many changes. True, it’s not very clear why the beta version, but we just have to wait for the release. Among other things, the update will bring support for DLSS, and judging by the mention of frame generation, it will be DLSS 3. Bethesda also promised to add FSR 3 to the game, that is, frame generation technology will become available for Radeon adapters. Considering that Starfield turned out to be very demanding, such improvements will clearly not be superfluous.

[hotnew-pt]

Manual de placa da ASUS pode indicar 3D V-Cache em processadores Threadripper #ÚltimasNotícias #tecnologia

Hot News Créditos: ASUS A próxima geração de processadores AMD Threadripper pode oferecer ao menos um SKU com 3D V-Cache, se o rumor da vez estiver correto. A informação apareceu no manual de uma placa-mãe ASUS WRX90, onde se explica configurações para habilitar ou desabilitar a “tecnologia X3D” nesses modelos de CPU. A captura abaixo foi feita a partir do manual da ASUS Pro WS WRX90E-SAGE SE,…

[b2bcybersecurity]

AMD Prozessoren mit Sicherheitslücken

Nun scheint nach Intel auch AMD ein Problem mit Sicherheitslücken in Prozessoren zu haben. Eine AMD-Seite zählt 26 Prozessoren und Familien auf, die angreifbar sind. Der Schweregrad der Sicherheitslücke liegt nach CVSS bei 7.5 von 10 und ist somit hochgefährlich. Das erste Interview zum Thema Sicherheitslücken in aktuellen AMD-Prozessoren führte das Online-Magazin Wired. Sicherheitsforscher haben eine Sicherheitslücke entdeckt, die wohl seit Jahrzehnten in AMD-Prozessoren vorhanden ist. Diese Lücke kann es Malware ermöglichen ganz tief in den Speicher des PCs einzudringen und sich dort einzunisten. Laut den Forschern ist es dann günstiger die CPU auszutauschen oder den Rechner zu entsorgen, aber der Versuch ihn von der Malware zu reinigen. Dutzende Modelle von AMD-Prozessoren betroffen Auf der Hackerkonferenz Defcon wurde die Sicherheitslücke unter dem Namen "Sinkclose" vorgestellt. Dabei soll es möglich sein in einen bestimmten Speicherteil, der für die Firmware reserviert ist, Code zu platzieren. Die Forscher warnten zwar, dass alle AMD-Chips bis 2006 betroffen sein könnten, aber nun hat AMD eine eigene Liste veröffentlicht, auf der 26 Modelle und Familien genannt sind. Die Liste zählt neben alten Namen wie Athlon auch neuere Namen wie Threadripper und sehr viele Ryzen-Modelle auf. Kriminologen und Forscher haben die schlimme Befürchtung, dass insbesondere staatliche Hacker die Sicherheitslücke ausnutzen werden. Einige Prozessoren, wie AMD EPYC sind Rechenzentrumsprodukte und arbeiten dort für viele Server. Die Experten meinten auch, dass eine Entfernung einer Malware nur noch per hardwarebasierten Programmiertool namens SPI Flash Programmer möglich sei. Aber viele der Prozessoren stecken auch in Mitarbeiter-PCs in Unternehmen und KMU. Daher empfiehlt AMD das Update der Firmware um die Lücke zu schließen. Bei einigen Prozessoren und Familien ist das Update aber noch nicht fertig und sind für Oktober angekündigt. Die Updates kommen aber nicht von AMD, sondern von den PC-Herstellern. Red./sel   Passende Artikel zum Thema Lesen Sie den ganzen Artikel

[govindhtech]

Precision 7960 Tower & LLMs In Dell Precision Workstations

Precision 7960 Tower

Gaining an understanding of AI Precision Workstations and Large Language Models. Businesses can undergo a radical change by utilising the potential of huge language models on Precision workstations.

If any of the aforementioned circumstances apply to your intended AI application, there are a number of LLMs that may be utilized on-premises and tweaked utilising deskside workstations, most notably:

Gemma 7B, a condensed variant of Google’s Gemini, works well for compact and effective apps on smartphones with constrained processing power.

Llama 3 is ideal for large organizations and research because to its exceptional performance and versatility.

The Mistral series provides flexibility and customization for deployments that are affordable and is completely open source.

With better energy efficiency, lower costs, and improved scalability when working with multiple GPUs in tandem, the NVIDIA accelerated computing platform with NVIDIA Ada Lovelace architecture which includes NVIDIA RTX GPUs for training LLMs offers performance increases over earlier architectures in all categories.

Dell precision workstation

Dell Precision workstations, including the Precision 5860 Tower, Precision 7875 Tower, and Precision 7960 Tower, offer a multitude of single or dual processor configurations, memory configurations up to 4 TB, and the ability to configure single, dual, or up to quad NVIDIA RTX Ada Generation GPUs (systems vary on configuration options).

These desktop workstations will give you the capability to optimize LLMs using the model of your choosing while preserving data residency, privacy, and predictable costs.

Dell 5860, 7875, and 7960 Precision Workstations: Precision Power

Precision 5860 Tower, Precision 7875 Tower, and Precision 7960 Tower workstations manage the greatest computational and graphic demands. In addition to spacious single- or dual-processor configurations, they offer memory up to 4 TB and customizable NVIDIA RTX Ada Generation GPU configurations. Explore these cutting-edge workstations’ astonishing features and capabilities.

Precision 5860 Tower

Performance Unlock

Dell Precision 5860 Tower is powerful and expandable. Computationally intensive specialists who evaluate, render, and simulate complicated data would love this workstation.

Principal Elements

Processor Choices: With so many Intel Xeon processors available for the Precision 5860 Tower, you can customize the device to meet your unique requirements.

Graphics Abilities: This workstation offers unmatched graphics performance because it is outfitted with up to four NVIDIA RTX Ada Generation GPUs.

Memory Set Up: The Precision 5860 is capable of managing even the most complex multitasking situations because it supports up to 4 TB of RAM.

Storage Fixes: ensures rapid data access and plenty of storage space by providing a variety of storage solutions, including as high-capacity HDDs and NVMe SSDs.

Use cases and applications

The Precision 5860 is ideal for engineering, architecture, and media creation, where reliability and performance are essential. Experts love it because it handles large datasets, complex 3D models, and complex simulations easily.

Dell Precision 7875 Tower

Precision 7875 Tower

Dell Precision 7875 Tower pushes performance with its superior features and cutting-edge technology. This workstation targets power users who need the most processing and graphical power.

Principal Elements

Processor Power: Offers unrivalled multi-threaded performance and supports the newest AMD Ryzen Threadripper PRO CPUs.

Excellence in Graphics: Equipped with up to four NVIDIA RTX Ada Generation GPUs, this configuration guarantees fluid and effective management of jobs requiring a lot of graphics.

Enormous Memory: Up to 4 TB of ECC memory can be installed, offering the dependability and efficiency necessary for vital workloads.

Storage Versatility: Offers a selection of fast and large capacity storage solutions, such as SATA HDDs and PCIe NVMe SSDs.

Use cases and applications

Applications involving AI and machine learning, high-end video editing, and virtual reality creation are all ideal for the Precision 7875. Strong CPUs and top-tier GPUs make complex processes and resource-intensive operations easy.

Dell Precision 7960 Tower

With maximum power and configurability, the Dell Precision 7960 Tower delivers the best workstation performance. This paradigm is designed for mission-critical, high-performance computation and graphics.

Principal Elements

Highest Processing Capacity: The Precision 7960 can handle even the most taxing applications because to its dual Intel Xeon Scalable CPUs.

Superb Graphics: Capable of supporting up to four NVIDIA RTX Ada Generation GPUs, offering exceptional graphical capabilities.

Broad Memory Support: Provides reliable multitasking and support for up to 4 TB of DDR4 ECC memory.

Various configurations, such as NVMe SSDs and SATA HDDs, are available for optimal speed and capacity in this extensive storage options package.

Use cases and applications

The preferred workstation for advanced engineering simulations, financial modelling, and scientific research is the Precision 7960. It can handle the most difficult and demanding computational jobs thanks to its unmatched power and versatility.

Configuring Memory

The Precision 7960 Tower supports memory-intensive programs and multitasking:

Up to 4 TB DDR4 ECC memory, 2933 MHz speed.

Eight-channel memory architecture support.

Advanced ECC memory for data security.

Storage Options

The workstation has flexible storage options for fast data access and enough of space:

Supports 12 drives

Storage options include PCIe NVMe SSDs for fast speeds and SATA HDDs for greater capacities.

RAID for data security and performance

Connectivity and Growth

Dell Precision 7960 Tower has many expansion and connectivity options:

Numerous PCIe 3.0 and 4.0 expansion card slots

Type-A and Type-C USB 3.2 Gen 2×2 ports

Two Gigabit Ethernet ports

Wi-Fi 6 and Bluetooth 5.1 options – Thunderbolt 3 for fast data transfer

Dell Endpoint Security

Optional Optional Chassis Intrusion Detection Smart Card Reader Dimensions and Weight The Precision 7960 Tower‘s dimensions make it ideal for professional use:

17.5 x 7.9 x 22.3 inches.

Beginning at 45 pounds

With a powerful power supply, the workstation handles power-hungry application.

In conclusion

Precision workstations like the 5860 Tower, 7875 Tower, and Precision 7960 Tower offer greater performance, durability, and scalability. For professionals who want the highest possible computational and graphical skills, they are the ideal option. These workstations are capable of handling the most demanding workloads and intricate jobs thanks to their adjustable features, which include memory up to 4 TB and single to quad GPUs.

Read more on govindhtedch.com

[omarvektrapc12]

Platform

Desktop

Product Family

AMD Ryzen™ PRO Processors

Product Line

AMD Ryzen™ Threadripper™ PRO 5000 WX-Series

AMD PRO Technologies

Yes

Consumer Use

No

Regional Availability

Global, China, NA, EMEA, APJ, LATAM

Former Codename

"Chagall PRO"

Architecture

"Zen 3"

# of CPU Cores

32

# of Threads

64

Max. Boost Clock

Up to 4.5GHz

Base Clock

3.6GHz

[teknolojihaber]

72 çekirdekli bir Nvidia işlemcisi AMD ve İntel'e kıyasla nasıl?

Nvidia'nın portföyünde yalnızca GPU'lar ve yapay zeka için özel hızlandırıcılar değil, aynı zamanda işlemciler de var. Ve şimdi 72 çekirdekli CPU Grace'i tüketici çözümleriyle karşılaştırma fırsatımız var. Arm mimarisini temel alan Nvidia sunucu işlemcisi Geekbench 5'te ortaya çıktı ve oldukça iyi bir sonuç gösterdi. Karşılaştırmada Grace, tek iş parçacıklı ve çok iş parçacıklı modlarda sırasıyla 1636 ve 74.440 puan aldı. Tek çekirdek performansı rekor kırmadı. Bu, Zen 3 mimarisindeki Ryzen 5000 seviyesinde ancak çoklu çekirdek oldukça etkileyici. Grace, çok fazla güç tüketen 56 çekirdekli Intel Xeon W9-3495X'ten biraz daha hızlı. Modern 96 çekirdekli Ryzen Threadripper 7995WX daha hızlı, ancak yalnızca oranında. Yani, Nvidia CPU, hem çok sayıda çekirdek hem de bunların oldukça modern Neoverse N2 çekirdekleri olması nedeniyle çok çok yüksek performansa sahip olabilir. Read the full article