{"id":908,"date":"2020-11-13T16:55:33","date_gmt":"2020-11-13T16:55:33","guid":{"rendered":"https:\/\/blog.cyberpowersystem.co.uk\/?p=908"},"modified":"2025-02-05T10:08:21","modified_gmt":"2025-02-05T10:08:21","slug":"learning-about-gpus","status":"publish","type":"post","link":"https:\/\/cyberpowergaming.co.uk\/custom-pc\/learning-about-gpus\/","title":{"rendered":"PC Learning: Everything You Need to Know About GPUs"},"content":{"rendered":"

\"A<\/p>\n

It\u2019s been a busy period in the world of computer graphics. Just a few months ago, we wrote on these pages about Nvidia CEO Jensen Huang, who had announced his company\u2019s new line of cards from the comfort of his ornately-furnished kitchen. Not to be outdone, AMD CEO Lisa Su recently took to our screens to make all kinds of promises about Team Red\u2019s new roster.\u00a0<\/span><\/p>\n

What these announcements had in common was a procession of impressive-seeming graphs and charts. While both presentations did a respectable job of getting their points across in a way that might be understood by those of us who don\u2019t have three degrees in electrical engineering, there are still plenty of obscure terms being bandied about – you could be forgiven for not fully understanding exactly what it all means. What\u2019s RDNA2? What is an Infinity Cache? And what, pray tell, is a Big Navi?<\/span><\/p>\n

Given that so many are going to be making the investment in a new card in the near future, it\u2019s a good time to refresh our memories about these devices and what they\u2019re for. So, are you ready to learn about GPUs?\u00a0<\/span><\/p>\n

Why do I need a GPU?<\/span><\/h2>\n

The Graphics Processing Unit, you\u2019ll be unsurprised to learn, is the bit of your computer that\u2019s tasked with dealing with all of those graphical elements that get thrown onscreen during a gaming session. If it\u2019s being drawn, in other words, it\u2019s being drawn by your GPU. Everything that doesn\u2019t get drawn \u2013 whether it be enemy AI, physics, or fundamental computational housekeeping \u2013 falls within the purview of the CPU (of which we\u2019ll speak more next week).<\/span><\/p>\n

This raises an obvious question: why bother with a GPU at all? Why not just render everything on the CPU? Well, prior to the release of the first graphics cards, that\u2019s precisely what happened. Early 3D games like Doom and Ultima ran on a CPU, but the fact is that modern games require a highly-specialised kind of processing to which general-purpose CPUs aren\u2019t suited.<\/span><\/p>\n

What\u2019s new in DX12?<\/span><\/h2>\n

DX12 is the twelfth version of Microsoft\u2019s DirectX APIs (that\u2019s application programming interface). These are programs that give games direct access to system resources, rather than having Windows act as an intermediary. Now, DX12 provides developers with the ability to do all kinds of things \u2013 and this latest batch of GPUs provides the horsepower needed to make them actually happen.\u00a0<\/span><\/p>\n

Ray-tracing<\/span><\/h3>\n

Traditionally, games are rendered using a process known as rasterisation. In a rasterised environment, objects are comprised of a \u2018mesh\u2019 of tiny virtual triangles. The corners of these triangles are points of information called vertices (singular: vertex). Look at an object, and your machine will work out what to display for each pixel on the screen, depending on the vertices you\u2019re looking at and the information attached to them.<\/span><\/p>\n

Raytracing works very differently. It actually simulates bounced light, albeit in reverse. Rays are traced from the player\u2019s point of view to the objects in the game world. Like light in real life, they\u2019ll bounce from object to object \u2013 and this will inform the image onscreen. This creates extremely realistic results \u2013 for those whose cards have the power to take advantage.<\/span><\/p>\n

Variable Rate Shading<\/span><\/h3>\n

This is a technique through which different parts of an image can receive attention from the graphics card proportional to their complexity. If there\u2019s a big patch of blue taking up most of the screen (like the sky) and a complicated object in the foreground (like a human face), then it makes sense to devote more resources to the latter. Moreover, the player\u2019s attention is often focused on just a relatively small part of the screen (often the centre), so changing the \u2018shading rate\u2019 for that portion of the screen can often yield substantial performance improvements without any major compromises in the actual experience.\u00a0<\/span><\/p>\n

Think of an FPS or a racing game \u2013 how often do you really look at the edges of the screen? Would you really notice if these areas were rendered at half, or even a quarter the resolution? The answer is \u2013 probably not. But you would notice if your frame rate were kicked up proportionally. So that\u2019s what VRS does!<\/span><\/p>\n

The new Nvidia cards<\/span><\/h2>\n

We\u2019ve already taken a look at the Nvidia 30 series in some detail when it was announced more than a month ago. Since then, the <\/span>RTX 3070<\/span>, <\/span>3080<\/span> and <\/span>3090<\/span> have found their way into <\/span>Cyberpower machines<\/span> \u2013 and they\u2019re in high demand!\u00a0<\/span><\/p>\n

Jensen\u2019s claim that the 3070 would deliver equivalent performance to the last generation\u2019s 2080Ti (a card which costs more than a grand) turned quite a few heads, and <\/span>benchmarking from Digital Foundry<\/span> and others has since proven him, more or less, correct. The major caveat here is that the 3070 has just 8GB of video memory to the 2080Ti\u2019s 11GB, which might cause a performance ceiling in high-resolution gaming.<\/span><\/p>\n

DLSS 2.0<\/span><\/h3>\n

The feature that promises to set the Ampere lineup apart from the competition is DLSS 2.0. Deep Learning Super Sampling (DLSS) allows games to be rendered at a lower resolution, and then intelligently upscaled using the company\u2019s impressive AI Tensor cores, which are built into every card. This requires some groundwork on the part of the developer, who must provide high-resolution (16k) screenshots from the game to Nvidia\u2019s AI, which then spits out a program that analyses every frame in real-time, sharpening edges and creating fidelity from nothing.<\/span><\/p>\n

The new AMD cards<\/span><\/h2>\n

The AMD 6000 series is based on the RDNA2 (that\u2019s Radeon DNA, or \u2018Big Navi\u2019) architecture, which boasts up to 5120 shaders spread across 80 \u2018Computer Units\u2019. It\u2019s the successor to the RDNA1 architecture that dropped in 2019 (which, in turn, succeeded GCN).\u00a0<\/span><\/p>\n

AMD is targeting an improvement of 50% in performance-per-watt with every generational leap \u2013 and they\u2019re doing this by fiddling around under the hood. Without delving too deeply into <\/span>the technical details<\/span><\/a>, it\u2019s worth knowing that RDNA2 is an evolution of what was going on in RDNA1, with a few extra capabilities thrown in there to take advantage of the DirectX12 spec.<\/span><\/p>\n

\"benchmarks<\/p>\n

Given Nvidia\u2019s extensive expertise in AI research, it\u2019s probably not a surprise that AMD will need to play catch-up to provide an answer to DLSS. The answer comes in the form of what AMD calls \u2018super-resolution\u2019 technology, which will perform much the same task when it\u2019s implemented post-launch.<\/span><\/p>\n

As for the cards themselves, there are three to be concerned with. The RX 6800 and RX 6800 XT, which hit shelves on November 18<\/span>th<\/span>, and the RX 6900 XT, which arrives on December 8<\/span>th<\/span>.<\/span><\/p>\n

What should I know before buying a GPU?<\/span><\/h2>\n

If you\u2019d like to know which of the new cards are going to be better suited to playing your favourite game, then you\u2019ll need to wait for independent benchmarks.\u00a0<\/span><\/p>\n

There are, however, a few general considerations worth making. AMD is what\u2019s going to power both new consoles \u2013 and thus their cards may benefit from greater optimisation in cross-platform games. If you\u2019re going to be using adaptive sync (FreeSync or Gsync), then you\u2019ll need to be sure that your monitor can be synced to the card you have in mind. Often, this can be achieved through a firmware update.<\/span><\/p>\n

As ever, your needs will depend on the maximum refresh rate of your monitor, the resolution you\u2019ll be playing at, and the games you\u2019ll be playing. Games like Watch Dogs: Legion and Cyberpunk 2077 require a monstrous rig; games like Hades and Among Us are less demanding.<\/span><\/p>\n

\"Cyberpower<\/p>\n","protected":false},"excerpt":{"rendered":"

From learning the graphical elements to understand the industry rival between Nvidia and AMD. 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