#TechGags

[lectr0n]

When APIs and Coffee Machines Collide! ☕💥🤖 When your API takes a coffee break, but your coffee machine decides to file a DDoS attack complaint! 😂☕💻

[kellyroycekey]

12gb RTX 2060? Intel's chip manufacturing discussion and AMD gets an update...

[dailytechnologynews]

Microsoft Processor Groups Offer Path For Scaling Beyond 64-thread Limitations [TechGage] https://ift.tt/33TqppD

[eziayaoiffantasy-blog1]

NVIDIA TITAN RTX

NVIDIA's TITAN arrangement of designs cards has been a fascinating one since the dispatch of the first in 2013. That Kepler-based GTX TITAN model topped at 4.5 TFLOPS single-exactness (FP32), execution that was supported to 5.1 TFLOPS with the arrival of the TITAN Black the next year.

Quick forward to the current day, where we presently have the TITAN RTX, bragging 16.3 TFLOPS single-accuracy, and 32.6 TFLOPS of half-exactness (FP16). Twofold exactness (FP64) used to be standard admission on the prior TITANs, however today, you'll need the Volta-based TITAN V for opened execution (6.1 TFLOPS), or AMD's Radeon VII for in part opened execution (3.4 TFLOPS).

Of late, half-accuracy has collected a great deal of consideration by the ProViz showcase, since it's optimal for use with profound learning and AI, things that are developing in fame at an incredibly brisk pace. Add explicitly tuned Tensor centers to the blend, and profound learning execution on Turing turns out to be genuinely amazing.

NVIDIA TITAN RTX Graphics Card

Tensors are not by any means the only party stunt the TITAN RTX has. Like the remainder of the RTX line (on both the gaming and genius side), RT centers are available in the TITAN RTX, helpful for quickening continuous beam following outstanding tasks at hand. The centers should be explicitly bolstered by engineers, utilizing APIs, for example, DXR and VKRay. While support for NVIDIA's innovation began lukewarm, industry support has grown a great deal since the first disclosing of RTX at SIGGRAPH a year ago.

At E3 in June, a bunch of games had beam following related declarations, including Watch_Dogs: Legion, Cyberpunk 2077, Call of Duty: Modern Warfare, and obviously, Quake II RTX. On the plan side, a few designers have just discharged their RTX quickened arrangements, while a lot more are underway. NVIDIA has been gabbing of late about the Adobes and Autodesks of the world assisting with developing the rundown of RTX-implanted programming. We wouldn't be astonished if more RTX goodness was uncovered at SIGGRAPH this year once more.

For profound learning, the TITAN RTX's solid FP16 execution is quick all alone, however there are a couple of advantages locally available to help take things to the following level. The Tensor centers help in a significant part of the increasing speed, however the capacity to utilize blended exactness is another enormous part. With it, insignificant information following will be put away in single-accuracy, while the key information will get crunched into equal parts exactness. Everything consolidated, this can support preparing execution by 3x over the base GPU.

NVIDIA's TITAN RTX and GeForce RTX 2080 Ti - Backs

Likewise eminent for Turing is simultaneous number/coasting point tasks, which permits games (or programming) to execute INT and FP activities in equal without stumbling over one another in the pipeline. NVIDIA has noted in the past that with games like Shadow of the Tomb Raider, an example set of 100 guidelines included 62 FP and 38 INT, and that this simultaneous component legitimately improves execution accordingly.

Another significant element of TITAN RTX is its capacity to utilize NVLink, which basically consolidates the memory pools of two cards together, bringing about a solitary framebuffer that can be utilized for the greatest potential tasks. Since GPUs scale commonly very well with the sorts of outstanding tasks at hand the card focuses on, it's the genuine memory pooling that is going to offer the best advantage here. Gaming content that could likewise exploit multi-GPU would see an advantage with two cards and this connector, also.

Since it's an element selective to these RTX GPUs at the present time, it merits referencing that NVIDIA likewise packages a VirtualLink port at the back, permitting you to connect your HMD for VR, or in the most pessimistic scenario, use it as a full-fueled USB-C port, either for information move or telephone charging.

With the entirety of that secured, we should investigate the general current NVIDIA workstation stack:

NVIDIA's Quadro and TITAN Workstation GPU Lineup

Cores Base MHz Peak FP32 Memory Bandwidth TDP Price

GV100 5120 1200 14.9 TFLOPS 32 GB 8 870 GB/s 185W $8,999

RTX 8000 4608 1440 16.3 TFLOPS 48 GB 5 624 GB/s ???W $5,500

RTX 6000 4608 1440 16.3 TFLOPS 24 GB 5 624 GB/s 295W $4,000

RTX 5000 3072 1350 11.2 TFLOPS 16 GB 5 448 GB/s 265W $2,300

RTX 4000 2304 1005 7.1 TFLOPS 8 GB 1 416 GB/s 160W $900

TITAN RTX 4608 1350 16.3 TFLOPS 24 GB 1 672 GB/s 280W $2,499

TITAN V 5120 1200 14.9 TFLOPS 12 GB 4 653 GB/s 250W $2,999

P6000 3840 1417 11.8 TFLOPS 24 GB 6 432 GB/s 250W $4,999

P5000 2560 1607 8.9 TFLOPS 16 GB 6 288 GB/s 180W $1,999

P4000 1792 1227 5.3 TFLOPS 8 GB 3 243 GB/s 105W $799

P2000 1024 1370 3.0 TFLOPS 5 GB 3 140 GB/s 75W $399

P1000 640 1354 1.9 TFLOPS 4 GB 3 80 GB/s 47W $299

P620 512 1354 1.4 TFLOPS 2 GB 3 80 GB/s 40W $199

P600 384 1354 1.2 TFLOPS 2 GB 3 64 GB/s 40W $179

P400 256 1070 0.6 TFLOPS 2 GB 3 32 GB/s 30W $139

Notes 1 GDDR6; 2 GDDR5X; 3 GDDR5; 4 HBM2

5 GDDR6 (ECC); 6 GDDR5X (ECC); 7 GDDR5 (ECC); 8 HBM2 (ECC)

Design: P = Pascal; V = Volta; RTX = Turing

The TITAN RTX matches the Quadro RTX 6000 and 8000 for having the most elevated number of centers in the Turing lineup. NVIDIA says the TITAN RTX is around 3 TFLOPS quicker in FP32 over the RTX 2080 Ti, and luckily, we have results for the two cards covering a wide-scope of tests to perceive how they analyze.

What's not found in the specs table above is the real execution of the beam following and profound learning segments. This next table enables away from of that to up:

NVIDIA's Quadro and TITAN – RTX Performance

RT Cores RTX-OPS Rays Cast 1 FP16 2 INT8 3 Deep-learning 2

TITAN RTX 72 84 T 11 32.6 206.1 130.5

RTX 8000 72 84 T 10 32.6 206.1 130.5

RTX 6000 72 84 T 10 32.6 206.1 130.5

RTX 5000 48 62 T 8 22.3 178.4 89.2

RTX 4000 36 43 T 6 14.2 28.5 57

Notes 1 Giga Rays/s; 2 TFLOPS; 3 TOPS

You'll see that the TITAN RTX has a higher "beams cast" spec than the top Quadros, which may owe its gratitude to higher timekeepers. Different specs are indistinguishable over the best three GPUs, with evident downsizing occurring as we move descending. Right now, the Quadro RTX 4000 (approximately a GeForce RTX 2070 equal) is the most reduced end current-gen Quadro from NVIDIA. Once more, SIGGRAPH is nearly upon us, so it may be the case that NVIDIA will have an equipment shock coming up; maybe a RTX 2060 Quadro identical.

When the RTX 2080 Ti as of now offers so much execution, who precisely is the TITAN RTX for? NVIDIA is focusing on it to a great extent at scientists, yet it optionally goes about as one of the quickest ProViz cards available. It could be selected by the individuals who need the quickest GPU arrangement going, and also a colossal 24GB framebuffer. 24GB may be excessive for a ton of current perception work, yet with profound learning, 24GB gives a great deal of breathing room.

In spite of all it offers, TITAN RTX can't be called an "extreme" answer for ProViz since it comes up short on some Quadro enhancements that the namesake GPUs have. That implies in certain top of the line structure suites like Siemens NX, a genuine Quadro may demonstrate better. Yet, on the off chance that you don't utilize any outstanding tasks at hand that experience explicit upgrades, the TITAN RTX will be very appealing given its list of capabilities (and that framebuffer!) If you're at any point befuddled about advancements in your product of decision, if you don't mind leave a remark!

Two or three years prior, NVIDIA chose to give some affection to the TITAN arrangement with driver upgrades that brings some equality among TITAN and Quadro. We would now be able to state that TITAN RTX appreciates a similar sort of execution helps that the TITAN Xp completed two years prior, something that will be reflected in a portion of the charts ahead.

Test PC and What We Test

On the accompanying pages, the consequences of our workstation GPU test gauntlet will be seen. The tests picked spread a wide scope of situations, from rendering to figure, and incorporates the utilization of both manufactured benchmarks and tests with true applications from any semblance of Adobe and Autodesk.

Nineteen designs cards have been tried for this article, with the rundown commanded by Quadro and Radeon Pro workstation cards. There's a sound sprinkling of gaming cards in there also, in any case, to show you any conceivable streamlining that might be occurring on either.

It would be ideal if you note that the testing for this article was directed a few months prior, before an invasion of movement and item dispatches. Illustrations card drivers discharged since our testing may improve execution in specific cases, however we wouldn't anticipate any eminent changes, having mental soundness checked a lot of our typical tried programming on both AMD and NVIDIA GPUs. In like manner, the past rendition of Windows was utilized for this specific testing, yet that additionally didn't uncover any burdens when we rational soundness checked in 1903.

As of late, we've invested a ton of energy cleaning our test suites, and furthermore our interior testing contents. We're right now during the time spent rebenchmarking various GPUs for a forthcoming glance at ProViz execution with cards from both AMD's Radeon RX 5700 and NVIDIA's GeForce SUPER arrangement. Luckily, results from those cards don't generally eat into a top-end card like the TITAN RTX, so lateness hasn't thwarted us this time.

The specs of our test rig are seen beneath:

Techgage Workstation Test System

Processor Intel Core i9-9980XE (18-center; 3.0GHz)

Motherboard ASUS ROG STRIX X299-E GAMING

Memory HyperX FURY (4x16GB; DDR4-2666 16-18-18)

Graphics AMD Radeon VII (16GB)

AMD Radeon RX Vega 64 (8GB)

AMD Radeon RX 590 (8GB)

AMD Radeon Pro WX 8200 (8GB)

AMD Radeon Pro WX 7100 (8GB)

AMD Radeon Pro WX 5100 (8GB)

AMD Radeon Pro WX 4100 (4GB)

AMD Radeon Pro WX 3100 (4GB)

NVIDIA TITAN RTX (24GB)

NVIDIA TITAN Xp (12GB)

NVIDIA GeForce RTX 2080 Ti (11GB)

NVIDIA GeForce RTX 2060 (6GB)

NVIDIA GeForce GTX 1080 Ti (11GB)

NVIDIA GeForce GTX 1660 Ti (6GB)

NVIDIA Quadro RTX 4000 (8GB)

NVIDIA Quadro P6000 (24GB)

NVIDIA Quadro P5000 (12GB)

NVIDIA Quadro P4000 (8GB)

NVIDIA Quadro P2000 (5GB)

Audio Onboard

Storage Kingston KC1000 960G

click here to know more

[rondadthorson-blog]

Latest Technology in the world today - TechGag

[high-tech-news]

As Galaxy S9 looms, Samsung ad shows how little details matter - CNET

http://ift.tt/2EfGZ9O

CNET

As Galaxy S9 looms, Samsung ad shows how little details matter CNET Technically Incorrect offers a slightly twisted take on the tech that's taken over our lives. Samsung ad features helpful robots. Enlarge Image. In Samsung's ad, the robots are desperate to please. Samsung/YouTube screenshot by Chris Matyszczyk/CNET ... Galaxy Note 9 Features: The Ultimate Wish ListValueWalk Weekly Poll: Which Galaxy S9 Color Is Your Favorite?Android Headlines Galaxy S9 dock leak is double the good newsSlashGear Gotta Be Mobile -Hot Hardware -Techgage -T3 all 61 news articles »

high-tech-news.tumblr.com

[josephlrushing]

Qualcomm Snapdragon Powered ‘Always-On, Always’ Connected PC Comes of Age

The idea of an “always-on”, “always connected” computer has been around for a while. Unfortunately, the available technology wasn’t quite ready to make such computers possible. Thanks to the just-announced new Qualcomm Snapdragon Compute platform portfolio, the “always computer” may finally be at hand. Long battery life, AI, and cellular connectivity are just the beginning of this revolution.

The long battery life, cellular connectivity, and AI accelerated the performance of the new Qualcomm Snapdragon Compute platform will pave the way to a new generation of fanless, thin and light computers. Development of the new platform focused on the needs of those who are on the go while also recognizes just how quickly the demands and expectations of mobile consumers have evolved.

The Snapdragon 7c and 8c now join the previously announced Snapdragon 8cx, delivering lightning-fast cellular connectivity to premium, mainstream, and entry-level notebook PCs. The portfolio is available in various price points allowing partners to design always on, always connected PCs for a wide array of consumers. In addition, the Snapdragon 8cx enterprise computer platform brings connected security software and secured-core PC support for modern enterprises looking to bring mobility to their workers.

The Octa-core Qualcomm Kryo 468 CPU and Qualcomm Adreno 618 GPU deliver responsive performance AND impressive battery life in the entry-tier. The numbers are impressive. For example:

The Snapdragon 7c computer platform delivers a 25% boost in system performance and up to twice the battery life vs. competing platforms plus lightning-fast connectivity via the Snapdragon X15 LTE modem.

The Qualcomm AI Engine delivers over five trillion operations per second (TOPS) of performance for the latest AI accelerated experiences offered by Windows 10.

The advanced 7nm Snapdragon 8c Compute Platform boosts performance up to 30% over the Snapdragon 850.

The platform intentionally bridges the gap between smartphones and computers through its focus on instant-on responsiveness and multi-day battery life. It not only delivers amazing battery life but the integrated Snapdragon X24 LTE modem also enables multi-gigabit connectivity speeds so access to the cloud simply happens. Moreover, thanks to the Qualcomm AI Engine which dedicates six TOPS to accelerate machine learning applications, the platform will make mainstream devices with an ultra-thin, fan-less design that is optimized for mainstream use possible.

As Alex Katouzian, senior vice president and general manager, mobile, Qualcomm Technologies, Inc. observes,

Qualcomm Technologies’ innovation in smartphones and connectivity placed the power of your desktop PC in your phone, now the phone is returning the favor by bringing thin, light, always-on, always-connected, all-day battery life experiences to your PC. The mobile-first consumer wants an experience on par with a smartphone, and we have the innovation, the inventions and the technology to enable this experience for customers across price points.

The full Snapdragon Mobile Compute portfolio promises to give Qualcomm’s partners greater flexibility to create products that meet the ever-changing demands of their customers.

Here are some highlights …

It’s #ACPC time

@donnymac on stage to introduce Miguel Nunes. #SnapdragonSummit ? #Pixel4XL #telephoto pic.twitter.com/k9jTi4sgbn

— Myriam Joire (@tnkgrl) December 5, 2019

Miguel Nunes is going to present the Snapdragon compute session. Ah, it appears that the Project Limitless PC from Lenovo will be 5G enabled. See the far right. #Snapdragon #SnapdragonSummit pic.twitter.com/QjyLlRJnHh

— Mark Hachman (@markhachman) December 5, 2019

In case anyone watching the #SnapdragonSummit livestream is wondering about the fans that Miguel was referring to https://t.co/l9w7Evzm7V

— Bryan Ma (@bryanbma) December 5, 2019

Now this is why the Snapdragon 7c is exciting #SnapdragonSummit pic.twitter.com/xyC2plifKf

— Rich Woods (@TheRichWoods) December 5, 2019

Here’s how you’d use a dedicated AI core in a Windows PC #snapdragonsummit pic.twitter.com/OjuUp6xMpC

— Sascha 5Gan (@saschasegan) December 5, 2019

All tiers of the @Qualcomm Snapdragon compute platform bring all these modern features to the #PC #SnapdragonSummit pic.twitter.com/xsblJFt4Rr

— Anshel Sag (@anshelsag) December 5, 2019

Most talked yet nothing done about issue.. #security and #privacy rightly addressed by #acpc #SnapdragonSummit pic.twitter.com/34ZWGbsQHh

— Prakash Sangam @Qualcomm #SnapdragonSummit (@MyTechMusings) December 5, 2019

Qualcomm is closing out the #SnapdragonSummit with new processors -the 8c and 7c- for more affordable Always Connected PCs.

I continue to find the ACPC one of the more promising developments in laptops. Always-on LTE, long battery life, no fans … the highs are compelling. pic.twitter.com/wsW7FJmSlE

— Michael Fisher (@theMrMobile) December 5, 2019

Qualcomm is closing out the #SnapdragonSummit with new processors -the 8c and 7c- for more affordable Always Connected PCs.

I continue to find the ACPC one of the more promising developments in laptops. Always-on LTE, long battery life, no fans … the highs are compelling. pic.twitter.com/wsW7FJmSlE

— Michael Fisher (@theMrMobile) December 5, 2019

. @Qualcomm wants a Snapdragon for everyone in the mobile ACPC market. The Snapdragon 7c and 8c now join Snapdragon 8cx. These slides show what the #Snapdragon compute platform brings.#SnapdragonSummit pic.twitter.com/Ke1VJ9XAwY

— Nathan Kirsch (@LegitReviews) December 5, 2019

Today’s announcement will lead some people to position the addition of the #Snapdragon7c as a retreat into the low-end but this is actually about looking at the market opportunity and the market segment that could do with embracing a modern computing experience #SnapdragonSummit pic.twitter.com/Ntjms9Zw3x

— Carolina Milanesi (@caro_milanesi) December 5, 2019

Qualcomm claims that gaze detection (which matches your eyes to the screen) consumes a ton less power. Some basic specs of the 7c:#Snapdragon #SnapdragonSummit pic.twitter.com/zGrkCibx0L

— Mark Hachman (@markhachman) December 5, 2019

So @Microsoft says more demand for ARM PCs will drive more support from Developers for the platform and highlights Adobe’s commitment to bring Creative Cloud to ARM #SnapdragonSummit pic.twitter.com/anJZjmerNN

— Varun Krishnan (@varunkrish) December 5, 2019

.@Qualcomm‘s always-connected mobile PC platform is coming to a lower price-point with the introduction of Snapdragon 7c. It’s not the top-end part, but the 7c feature-set (especially AI) gives the impression that this tier holds little back. #SnapdragonSummit pic.twitter.com/GuE00tXqX6

— Techgage (@Techgage) December 5, 2019

Here is a #5G stat for you. With 5G a movie that takes 6 minutes to download today, will take 3 seconds! #SnapdragonSummit pic.twitter.com/OxxJCgj7W1

— Daniel Newman (@danielnewmanUV) December 5, 2019

Microsoft says 5G will power superior experiences with Windows Virtual Desktop, OneDrive, and Project xCloud – wall through architectural sites under construction. xCloud will come to @Qualcomm Snapdragon Windows PCs next year, and will “rock” with 5G. #SnapdragonSummit pic.twitter.com/lejd5Hh57j

— Jeremy Horwitz (@horwitz) December 5, 2019

. @Qualcomm says 7c compute platform offers 25% better performance than Snapdragon 850. The 8c compute platfrom bumps that up to 30%. Impressive and can’t wait to learn the price points for new this 3 tier ACPC approach!

#SnapdragonSummit #acpc pic.twitter.com/MU0i4Htfjq

— Nathan Kirsch (@LegitReviews) December 5, 2019

What to expect from @Microsoft + @Qualcomm this year

#ACPC #SnapdragonSummit ? #Pixel4XL #telephoto pic.twitter.com/2k3Hgg7lm0

— Myriam Joire (@tnkgrl) December 5, 2019

Microsoft: Project xCloud will be ported to Qualcomm PCs in 2020. Well, that was unexpected. #Snapdragon #SnapdragonSummit pic.twitter.com/ivFLJISViw

— Mark Hachman (@markhachman) December 5, 2019

Zoom video conferencing coming native to ARM PCs. #snapdragonsummit pic.twitter.com/Wjw8J4S1MC

— Sascha 5Gan (@saschasegan) December 5, 2019

Super proud to announce our new Premium Quality XR platform – the amazing #Snapdragon XR2! At #SnapdragonSummit today! pic.twitter.com/15ojvJ2PDc

— Hugo Swart (@HugoSwart_QCOM) December 5, 2019

Microsoft sure does sound like it is banking on Always Connected PCs to drive it’s SaaS product lines: -Microsoft 365 -OneDrive -Project xCloud#Snapdragonsummit pic.twitter.com/4EBHj4z5m2

— Patrick Moorhead @ #reInvent and #SnapDragonSummit (@PatrickMoorhead) December 5, 2019

Confirmed: #Qualcomm is partnering with #Microsoft to bring the #xCloud gaming experience to mobile with the best #5g connection speeds the world has ever seen. #E32020 will be epic this year. Can’t wait!!! #SnapdragonSummit #Xbox #MicrosoftXbox pic.twitter.com/LnV5qOPC6P

— Jace Sparks (@creativejace) December 5, 2019

Qualcomm 8cx Enterprise platform is actually a notch above the 8cx. This is getting very segmented. #snapdragonsummit pic.twitter.com/1FGgW5visI

— Sascha 5Gan (@saschasegan) December 5, 2019

    Disclosure: I am at the Snapdragon Tech Summit as Qualcomm’s guest; they paid for my travel, room, and meals, but there were no conditions or expectations made regarding what I chose to write about regarding my experience.

from Joseph Rushing https://geardiary.com/2019/12/05/qualcomm-snapdragon-powered-always-on-always-connected-pc-comes-of-age/

[dunia-it]

A Linux Performance Look At AMD’s 16-core Ryzen 9 3950X – Techgage

A Linux Performance Look At AMD’s 16-core Ryzen 9 3950X – Techgage

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After posting our quick look at the performance of AMD’s new 16-core Ryzen 9 3950X in Windows last week, it quickly became obvious that the rest of our testing was going to be a painfully slow process due to the sheer number of tests that needed doing. With our Linux suite requiring about one-fourth the time to run as the Windows one, and the fact that we had a bulk of the testing done…

[componentplanet]

From 4.3GHz All-Core Overclocking to SMT Scaling: A Comprehensive Review of the AMD Threadripper 3990X

AMD has spent the last three years rewriting the rules of desktop performance. On Friday, the microprocessor manufacturer launched its AMD Ryzen Threadripper 3990X, the world’s first single-socket 64-core CPU. I’ve already written a teaser for this article and gone over some of my early thoughts on the CPU, but here’s where we dig into the data on the chip and see what the reports can tell us.

Under the right circumstances, the Ryzen Threadripper 3990X offers incredible performance. In unoptimized workloads, it’s flat or even declines against the Ryzen Threadripper 3970X. I’ve spent a great deal of time putting the CPU through its paces, looking for scenarios where it succeeds and analyzing where it falls flat. I also threw it outside in 12-degree Fahrenheit (-11C) air and overclocked it using the Asus Zenith II Extreme, just for fun. We’ll talk about that, too. I may have missed the world record to an enterprising individual with liquid nitrogen, but the CB20 score I hit would still qualify this system for second-place according to HWBot.

I’m going to assume you’re aware of the Threadripper 3990X and have read our 3970X review, plus the 3990X launch discussion from last week.

The Windows Thread Scheduler

One issue affecting our Windows 10 results is the fact that the OS doesn’t scale above 64 threads very effectively. The OS splits CPU workloads into processor groups, with up to 64 threads assigned to each group. Some applications provide their own thread schedulers, but applications that don’t are often capped at ~50 percent CPU usage on the 3990X. Linux scaling is generally better; Rob Williams at Techgage has more data on this. 3D rendering applications are easily the strongest use-category for the 3990X, which puts up its strongest scaling figures in these applications. There have been reports that Windows 10 Enterprise may offer better scaling, but our contacts at AMD indicated there’s no reason for a user to run Windows 10 Enterprise when buying a 3990X. The official guidance from AMD is that Windows 10 Pro is enough.

The (Lack of) Intel Competition

We reached out to Intel to inquire if the company would provide Xeon server CPUs to benchmark against the 3990X, but the company has opted not to sample against the AMD CPU. While these comparisons wouldn’t align on price, they would have allowed us to compare top-end solutions from both companies. Without the option to draw on Xeon, our comparison vehicle was limited to the Core i9-10980XE.

At ~$1000, the 10980XE cannot be considered fair competition for the $4000 3990X, but it’s the closest Intel CPU we have, and I wanted to give some indication of how it stacked up. Because different applications have such different responses to high core count CPUs, there are cases where the 10980XE matches or outperforms the 3990X. More cores are not always better, even today.

Results Formatting, Test Setup

This review has a larger footprint than my typical coverage, and I’ve subdivided the results into several different categories. Our standard suite of tests compares the top Threadripper and Core i9-10980XE (along with the Ryzen 9 3950X where possible) in a wide range of applications. The next section discusses SMT scaling on the 3990X specifically, with some specific evaluations in applications like DaVinci Resolve using the Puget Systems Extended Benchmarks for that application. Finally, the overclocking section discusses our OC results, with a little help from Mother Nature.

All testbeds were equipped with 64GB of DDR4-3600 in four sticks of RAM. XMP was enabled on both the AMD and Intel systems, but the Intel Cascade Lake required a DDR4-3200 RAM clock, not DDR4-3600. Both Intel and AMD systems were benchmarked with a Corsair MP600 SSD, though the AMD system used the drive in PCIe 4.0 mode, while the Intel rig was limited to PCIe 3.0.

An RTX 2080 was used to provide GPU testing in all cases, with Nvidia GeForce Game Ready Driver 442.19. The latest UEFI images were loaded on all motherboards.

A few application-specific notes before we get started: I’ve included MATLAB results here. MATLAB favors Intel by default for reasons we discuss in far more detail in this article. I’ve benchmarked AMD’s with the “Cripple AMD” instructions both enabled (default) and disabled.

We’ve also added a significant prosumer / workstation workload. Puget Systems distributes their own extended benchmark suite for various applications, including DaVinci Resolve. These tests don’t kid around — the 8K DaVinci Resolve suite requires a GPU with up to 20GB of VRAM, which precluded us from testing it. AThe free trial of DaVinci Studio was used, which does impact the performance of one H.264 benchmark according to Puget, but the test results we present are accurate relative to that version of the application and the same workload ran in software on all of the CPUs we tested. I have data from Agisoft Metashape as well, but I realized late on Sunday that I need to re-check those results.

Arnold Render CPU Benchmark – Antonio Bosi

Special thanks to Antonio Bosi, who designed our Maya 2020 Arnold Render CPU benchmark by modifying a scene from his existing test suite. Antonio maintains his site with a number of Arnold Render  tutorials, personal art, and 3D models for download. The tweaked version of the standard Fast benchmark scaled about four percent better than the default flavor, and, at 1.4x scaling over the 3970X, delivered our strongest render uplift between the two CPUs.

05_030_A

We also downloaded a number of Blender scenes for test rendering, all of which were used in the Blender open movie “Spring.” Two screenshots of representative animation frames are shown above and below:

03_005_A

Test Results

Tests included: 7zip, Blender (stand-alone benchmark and full application), Cinebench R15 and R20, Handbrake 1.31, Indigo Bench, Maya 2020, Neat Bench, POV-RAY 3.7, and a Qt compile benchmark using MSVC 2019.

We see two different performance profiles in these results. In some applications — generally rendering applications — the 3990X is 1.3x – 1.4x faster than the 3970X. Some tests, like V-Ray, predict even stronger scaling. We’ve benchmarked a range of rendering applications to demonstrate that in many cases, existing software does take advantage of these capabilities. In some cases, like Arnold Render, the 3990X even comes close to proving cost-effective against the 10980XE, which takes 3.63x longer to render our test scene and costs 25 percent as much. We’ll also examine a renderer that doesn’t scale in our SMT section.

Outside of rendering applications, the 3970X is generally a better choice, especially given that it’s more cooperative with the regular version of Windows 10. Inside rendering applications, particularly at the professional level, the improved performance might be worth it to creatives with cash to burn.

I’ve fallen back to using slideshows for this article because of the amount of data, but a few of our results don’t fit well in that format for various reasons. Our MATLAB benchmark was provided by Intel for testing the Core i9-10980XE’s performance. The table below summarizes MATLAB performance on AMD hardware versus Intel.

MATLAB is an application that doesn’t scale past 64 threads on Windows 10 Pro. As a result, the 3990X is slower than the 3970X with SMT enabled because its baseline clocks are lower, even in 32-core mode. We’ve seen several examples of this.

The Blender 1.0Beta2 benchmark is based on an older version of Blender (2.79) and runs more slowly than the current flavor (2.81). It also crashes on the 10980XE for unknown reasons (the 10980XE doesn’t have this problem in the actual application). Blender is a solid win for the 3990X, and while we don’t see our best scaling in this renderer, the 3990X renders between 25 – 35 percent faster than the 3970X in these scenes.

SMT Scaling

Our standard test suite explored performance scaling between the 3970X and 3990X, generally finding that the 3970X is the stronger option for the typical user, but with specific improvements in certain workloads for the 3990X. Now we’re going to take a look at the SMT scaling question under Windows 10.

Tests included: Blender, DaVinci Resolve (Puget Systems), Keyshot 9, Maya 2020, Maxwell Render 4.2.

There are only a handful of applications that show performance declines when SMT is enabled, but Maxwell Render 4.2 definitely does. Unfortunately, the “Benchwell” scene included in Maxwell Render 4 will no longer load in Maxwell Render 5, so I was unable to test if the same problem occurs in the newest version of the test. Turning SMT off gives the 3990X a win over the 3970X, but not enough to justify the cost of the CPU.

Other tests, however, showed consistent scaling from enabling SMT, and benefited from its use. We rendered an extensive series of Blender scenes (Junk Shop, Spring, Agent 327, and Mr. Elephant), all of which show varying responses to SMT use. I ran a number of additional test renders that don’t appear here, just to keep the data set manageable, and the general performance improvement in Blender in the professional-level renders available via Blender Cloud is a very consistent 1.3 – 1.4x. Keyshot scales a bit less, at roughly 1.2x-1.25x.

In DaVinci Resolve 16, Intel doesn’t win, but it does win the price/performance category. The 3990X scales a bit off the 3970X, but I don’t know that many people would pay 4x more for a 1.16x performance gain. It might very well come down to which specific codec and media settings you were editing, since the 3990X does show larger gains over the 10980XE in a few specific tests.

Intel, therefore, definitely still makes a case for its own utility and relevance in these workloads. The 3970X and 3990X have carved out real territory for themselves, but they aren’t a slam dunk in every situation.

Overclocking Performance

17 years ago, literally to the day, on February 10 2003, AMD launched the Athlon XP 2500+, 2800+, and 3000+. To overclock the 3000+ — and because we all knew at the time that it couldn’t match the Pentium 4 at default clock — I stuck it outside to OC it, and pushed the CPU up to 2.6GHz, 1.2x over stock. I never did it again until this past weekend. This article was originally supposed to run on Friday, but I’m tickled that it’s actually running today, because having the dates align this perfectly is fun. The 3990X is a rather good overclocking CPU, if my single sample is anything to go by, and the fact that this article is running on the same day is just icing on the cake.

How’d I do it? Simple. I stuck the entire system outside in 12F / -11C air. I actually experimented with testing the system inside, by putting the CPU radiator + fan assembly up against a window screen, so the cooler could draw directly from the outside air. This worked to a point, but it didn’t provide the cooling I wanted. Solution: Outdoor overclocking.

Besides, that sounds better than “Bathroom overclocking.”

Who has had two thumbs and is unhappy this idea didn’t work? Me, that’s who.

I started my testing at an all-core 3.7GHz and 1.4v, but this was too much voltage for the Asus Zenith II Extreme. The OCP protection on the motherboard would kick off halfway through stress tests. Lowering the voltage to 1.35v produced better results. I ran the complete Blender Benchmark 1.0Beta 2 suite at 3.6, 3.7, 3.8, and 3.9GHz all-core, lowering the voltage at each step.

At 3.9GHz and 1.33v, I decided to leap. I knew that an all-core 4GHz wouldn’t break the 32K mark, which is where I needed to be to beat the (now second-highest) score. I dialed in 4.1GHz and she POSTed… but my score was still too low. Since I wrote my article on Friday, the world record has been claimed by someone with a 5.3GHz overclock, and I knew I wasn’t going to hit that, but I thought I just might manage to take second place.

At this point, it’s about 1:30 AM on Sunday morning. Anyone driving past would have observed a remarkable sight — a brilliant (because of course both the motherboard and RAM are LED-equipped) star shining in my front yard. Had they come closer, they would have marveled at the sturdy, unassuming, and unexpectedly extremely valuable nightstand stoutly holding about $6000 in computer equipment out of everything computer equipment is never supposed to touch.

I considered this. I contemplated the wisdom of testing extremely expensive hardware at night, in the open air. I thought about snow and wind, and contemplated the fact that I was running markedly less voltage than I had used to maintain a stable 3.7GHz OC.

If you want to be good at overclocking, you have to understand it as an art. Systems don’t just become randomly unstable. There’s an order and a hierarchy. Systems need to POST, boot, and then run benchmarks. The longer and more rigorous the test you can run, the greater the chance the overclock is stable. I knew the 3.7GHz all-core was stable enough to run through a fair number of tests, and that 3.9GHz had been stable through Blender. I knew I couldn’t be too far off hitting the motherboard’s overcurrent protection, however. The CPU idled at 6C in the frozen wasteland of my… front yard, but under load, she was already hitting 67C. Overclocked CPUs are often far more thermally sensitive than their stock-clocked counterparts, and 67C was more than I was comfortable with already.

Any time you push a CPU to the outer edge of the envelope (and here, that could mean anything from a stock cooler to LN2), you’re dancing on the head of a pin. It’s a gamble that you can tune the CPU just enough to eke out a test result without impacting performance in a way that kills the net effect of your improvement.

CPU power dissipation increases with TDP, but it increases much more strongly as a result of voltage. I gambled that I’d reduced the VRM load enough that she could handle a 4.3GHz all-core at 1.3275v, even though I’d seen the machine hard-off at 4GHz and 1.4v.

Keep in mind, we’re talking about a CPU clock that’s about 1.26x higher than where I’d estimate the 3990X’s clock sits on a regular basis, and we’re talking about doing it on 64 CPU cores at once. All-core 4.3GHz = 275.2GHz. 0.275THz. Yeah, it starts with a decimal. Don’t care.

I felt like Han Solo reaching for the hyperspace levers on the Millennium Falcon, if Han had been the biggest damn nerd on Earth. My hands were freezing, my ears were numb, my front yard sounded like a hair dryer, and the rig had already spooked a dog walking by. It was time to see what she had. I typed “43,” hit “Save and Exit,” and crossed my fingers. She POSTed. Booted.

Took a second-place world record in Cinebench R20 and in Cinebench R15, though I’m still working on the submission process to HWBot.

I’ve been a reviewer for 18.5 years. I’ve tested systems valued at over $10,000. I’ve never tested a CPU that could be called the second-fastest at anything on the planet. Even knowing that my own record will soon be broken by 3990X owners with LN2 and exotic cooling setups that don’t rely on the weather, even knowing that the result was simply in a benchmark, there’s something undeniably cool about that.

I don’t think people are going to get 4.3GHz overclocks out of the 3990X on a regular basis, but lower clocks seem eminently possible. The results above show that they can provide a sustained benefit and the voltage required to maintain an AC 3.7GHz is clearly well below 1.3275v, given that I used that same voltage to hit 4.3GHz. I’ll leave it to manufacturers like Boxx to figure out what the possibilities are, but these test results imply they might be good.

In the right workloads, for the right buyer, overclocking the 3990X could make good sense. My performance improved by 10 – 17 percent moving from stock to 3.7 AC.

Conclusion

The 3990X is not the CPU for everyone. It doesn’t scale well enough to objectively justify its price, unless you shop in markets where price is no object. Even assuming better scaling from Linux or Enterprise Windows, it’s unlikely that enough applications would benefit to make the chip an objective improvement for many buyers.

All of this is completely normal for products at the top of a product stack. The Intel Xeon W-3265 is a 24-core chip at 2.7GHz base / 4.4GHz boost. The Xeon W-3275 is a 28-core CPU at 2.5GHz base / 4.4GHz boost. The W-3265 costs $3349. The W-3275 is $4449. That’s a 1.32x price increase for a 1.17x increase in core count. The Xeon Platinum 8280 is a $10,009 CPU with 28 cores, the Xeon Platinum 8270 is a $7405 CPU with 26 cores. Nobody blinks when Intel prices parts this way, even though there’s no workload on Earth where an 8280 is going to deliver a reasonable uplift over the 8270 with just two extra cores.

But the 3990X isn’t trying to be all things to all people. It’s the laurel wreath. It’s a victory lap. The 3970X is the CPU that’s actually intended to go toe-to-toe with what Intel has to offer; it’s the 3990X that clinches the deal, for the AMD customer for whom money is no object.

As for the significance of that? This is the first time in 15 years that AMD has had a product that competed for the “money is no object” segment in the first place. You have to go back to the days of dual-core Opteron and Athlon 64 FX, when AMD was facing off against Prescott and Smithfield, to find a time when AMD was so confident of its endgame to launch a part in this kind of position. Other reviewers, with access to more expensive Xeons than I have, have confirmed that AMD wins benchmarks against $20K worth of Xeon CPUs in multiple areas. That’s the kind of performance disparity that can make even the “Money is no object” crowd sit up and take notice.

Well played.

Now Read:

The AMD 3990X Pre-Review and Overclocking World Record Attempt

Intel, AMD Both Claim Wins Based on New Market Share Data

AMD Crushes on Earnings on Strength of 7nm

from ExtremeTechExtremeTech https://www.extremetech.com/computing/305965-from-4-3ghz-all-core-overclocking-to-smt-scaling-a-comprehensive-review-of-the-amd-threadripper-3990x from Blogger http://componentplanet.blogspot.com/2020/02/from-43ghz-all-core-overclocking-to-smt.html

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Best Workstation GPUs 2019: Premiere, Blender, & More | RTX 5000 Review

@Radeon @AMDRyzen @AMDServer @AMD FTW !

Published on May 18, 2019

We benchmarked professional Quadro, QX, and gaming cards in workstation applications. This looks at the best GPUs for video editing, Blender, & more. Ad: Buy EVGA's NU Audio Card on Amazon (https://geni.us/zUcFp78) Article: Pending publication Part of what we're looking at today is the performance of AMD's Radeon VII in video editing workloads, hopefully determining if its 16GB framebuffer actually proves useful in professional workloads. This will be compared and contrasted to other cards, like the RTX 5000 Quadro card, the Titan RTX, Radeon Pro WX 8200, RTX 2080 Ti, and more. Our workstation GPU benchmarks look at the best video cards for professional use, including Adobe Premiere, Magix Vegas, Blender, 3DS Max, Maya, financial and cryptography applications, V-Ray, LuxMark, SolidWorks, SiSoft Sandra, and more. GPUs TESTED (all links to Amazon): NVIDIA Quadro RTX 5000: https://geni.us/lAZms NVIDIA Quadro RTX 4000: https://geni.us/XYxs NVIDIA Titan RTX: https://geni.us/Tvir EVGA RTX 2080 Ti: https://geni.us/Vo11 AMD Radeon VII: https://geni.us/QV3E AMD Radeon Pro WX 8200: https://geni.us/pXG6 AMD Vega 64: https://geni.us/RQXnL And more Find Rob from Techgage here: https://www.youtube.com/channel/UC-Rm... We have a new GN store: https://store.gamersnexus.net/ Like our content? Please consider becoming our Patron to support us: http://www.patreon.com/gamersnexus ** Please like, comment, and subscribe for more! ** Follow us in these locations for more gaming and hardware updates: t: http://www.twitter.com/gamersnexus f: http://www.facebook.com/gamersnexus w: http://www.gamersnexus.net/ Testing, Editorial: Rob Williams of Techgage Video: Josh Svoboda, Andrew Coleman

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