What is CPU rendering?
With more and more CG special effects movies such as "Alita", "The Lion King" and "Frozen 2", CG production has gradually become well known. As an integral part of production, CG rendering has also received more and more attention. 3D rendering is the last step of CG production (except, of course, post-production). It is also the stage that finally makes your images conform to the 3D scene. And then, people will find that there are CPU rendering and GPU rendering. So what is CPU rendering? What does the CPU do during rendering?
The principle of 3D rendering varies according to different rendering software, but the basic principle is the same: the CPU calculates the parameters set in the model according to the calculation method set by the rendering software, including: from a specific angle to look at the model, lighting, distance, blanking/occlusion, Alpha, filtering, and even paste the texture as it should, so that the digital model is transformed into a real visualization, and then the graphics card will display this picture.
And 3D rendering requires a lot of complicated calculations, so it needs a powerful processor. For a simple example, a beam of light illuminates an apple, so where does its shadow face, how big is the shadow, and what does the shadow look like after a lot of complicated calculations. The CPU can solve this problem, and it only has a high frequency. CPU with more cores can get the rendering faster. So if you configure a computer for design, invest as much money as possible in the processor. The CPU is extremely sensitive to the number of cores, and features such as multi-cores have huge performance improvements. If the funds are sufficient, the more cores the better. In addition, the requirements on the response speed of memory and hard disk are also relatively high.
So, does 3D rendering rely on the CPU or graphics card? It's actually very simple, depending on what kind of rendering software is used:
Traditional CPU arithmetic rendering software: such as V-Ray, Arnold, etc. They are software that uses the CPU for rendering, and almost all CPU rendering software can well support the multi-threading of the CPU, that is, the more the cores, the higher the rendering efficiency. Moreover, the number of cores with the same frequency and cache is doubled, and the rendering speed is almost doubled.
GPU renderers such as Octane, Redshift, RenderMan, etc., greatly reduce their dependence on the CPU. In GPU rendering software, the graphics card determines the level of rendering efficiency.
For example, "Gravity" or "Guardians of the Galaxy" and "Avengers" are also produced using the CPU renderer Arnold. It can render very realistic, very high-quality, cinematic images with highly controllable results (which is important).
If you use a CPU rendering software, do not hesitate, a multi-threaded, high frequency, large cache CPU is definitely a strong guarantee to greatly improve work efficiency! If you are using GPU rendering software, then GPU is the right choice! But whether it is CPU rendering or GPU rendering, the render farm is a good choice. Just like Fox Renderfarm, it provides massive render nodes, allowing you to get your 1-month project rendered as fast as in 5 min. Why not try it?
What is the importance of video rendering, GPU or CPU?
What is the importance of video rendering, GPU or CPU? Video rendering is different from CG rendering in that they are completely different rendering methods.
Video rendering, in general terms, is to combine the various models, effects, or animations that were made in the early stage in the post-production software. In these processes, complex effects and effects are inevitably involved. It is difficult to achieve real-time display with the current computer computing power, so after editing the graphic image, the final effect we need is output by adjusting and modifying, that is, video rendering.
Video rendering requirements for graphics cards and CPU.
For professional design work, 3D modeling / video rendering, general CPU multi-core and multi-thread parallel processing is very important, and requires a faster and larger cache of the CPU to temporarily store a large amount of computing data, this time CPU computing power requirements are very high.
Therefore, the general professional work computer, the CPU requirements are relatively high, the general advanced architecture, multi-core, large cache high-end CPU can better meet the demand.
In video rendering, the graphics card is more of an acceleration, 3D effects will rely on graphics cards.
Take Adobe Premiere video editing software as an example. This professional software relies more on CPU multi-threading performance. The more cores and threads, the faster the video processing speed will be. In some video size compression and format conversion, transfer a certain amount of GPU graphics card resources, but the mobility is limited, ordinary low-end GPU graphics cards can meet the demand.
Of course, it is not that professional graphics, GPU graphics are not important, general 3D modeling is more dependent on GPU graphics than CPU. In general, the modeling of 3D software depends on the CPU. Regarding the professional design, it depends on the CPU or GPU. The main focus is on the scene and the software. Generally, the CPU is mainly clipped, the GPU is accelerated, and the 3D special effects production depends on the GPU. CPUs and GPUs are important for professionally designed computers.
In the rendering of video compression, the higher the GPU, the lower the GPU occupancy rate. At present, it is like Adobe Premiere video editing software, mainly based on CPU work, GPU is supplemented by such a state, and as long as Low-end GPU graphics can be very demanding.
Three Aspects to See the Differences Between GPU and CPU Rendering(1)
The Background of Graphics Card Probably around the year of 2000, the graphics card was still referred as the graphics accelerator. If something is referred as “accelerator”, it is usually not a core component, just think about Apple’s M7 coprocessor. As long as there is a basic graphics output function you are perfectly fine to access the monitor. By then, only a few high-end workstations and home use consoles could see separate graphics processors. Later, followed by the increasing popularity of PC, and the development of games and monopoly software like Windows, hardware manufacturers started to simplify their work process, which subsequently leads to the fact that graphics processors, or we can say graphics, gradually became popular. The GPU manufactures exist as much amount as **CPU** manufactures, but only three of them(AMD, NVIDIA, and Intel) are familiarized and recognized by people. To see the difference between GPU and **CPU** **rendering**, let's start with the following three aspects. 1. The Functions of GPU and **CPU** To understand the differences between GPU and **CPU**, we also need to first understand what GPU and **CPU** are signed up for. Modern GPU’s functionality covers all aspects of the graphics display. You might have seen the below picture before, that is a trial test of the old version Direct X - a rotating cube. Displaying such cube takes several steps. Let's think fromabout a simple start. Imagine the cube is unfolded to an “X” image excluded line shape. Then imagine the line shape to eight points without the connecting lines (The eight points of the cube). Then we can go ahead to figure out how to rotate the eight points so as to rotate the cube. When you first create this cube, you must have created the coordinates of the eight points, which are usually represented by vectors, three-dimensional vectors, at least. Then rotate these vectors, which are represented by one matrix if it’s in linear algebra. And vector rotation is to multiply the matrix and vectors. Rotating these eight points equals to multiply the vectors and matrix by eight times. It is not complicated. It is nothing more than calculation, with a large calculating amount. Eight points represent eight times calculations, so does 2000 points means 2,000 times calculation. This is part of the GPU's work — the transformation of vertex, is also the simplest step. But there is so much more than that. In conclusion, **CPU** and GPU are signed up for different tasks and are applied for different scenarios. **CPU** is designed with strong commonality and logical analysis functionality to deal with a variety of data types, to categorize a large workload of data and to handle process interruption. All of the above leads to an extremely complicated **CPU** internal infrastructure. But GPU is specialized in a highly-consistent, independent large-scale data and concentrated computing external environment that can not be interrupted. So **CPU** and GPU show a very different infrastructure (schematic diagram).
Fox Renderfarm Launches GPU Rendering
Rendering and previewing in a flash! The craze for Marvel’s superhero movie Deadpool swept over the world.
As the first full CGI realistic human feature film in Asia, Legend of Ravaging Dynasties dominated the headlines once the trailer came out. These two movies were rendered with GPU rendering engines.
Obviously, GPU computing card and GPU rendering engines are gradually used in film production. It is a good start!
Now, as the leading render farm in the industry, Fox Renderfarm launches GPU rendering. Let’s start free trial with Fox Renderfarm’s GPU rendering.
Let’s get it started!
What’s the differences between GPU and CPU?
A simple way to understand the difference between a CPU and GPU is to compare how they process tasks. A CPU consists of a few cores optimized for sequential serial processing, while a GPU has a massively parallel architecture consisting of thousands of smaller, more efficient cores designed for handling multiple tasks simultaneously.
Adam Savage and Jamie Hyneman made a painting demonstration to show the difference between CPU and GPU:
Mythbusters Demo GPU versus CPU
What’s the advantage of GPU Rendering ?
In the field of graphics rendering, not only films and animations, but also CG art, GPU with its computing ability and architecture specially designed for graphics acceleration provides the users with a more efficient rendering solution, namely the GPU rendering solution. GPU rendering has great advantage of fast speed and low cost. Moreover, GPU rendering becomes more and more available now, lots of works with high quality rendered with GPU has come out. GPU rendering tends to be popular with users at home and abroad.
Thinking of the CPU as the manager of a factory, thoughtfully making tough decisions. GPU, on the other hand, is more like an entire group of workers at the factory. While they can’t do the same type of computing, they can handle many, many more tasks at once without becoming overwhelmed. Many rendering tasks are the kind of repetitive, brute-force functions GPUs are good at. Plus, you can stack several GPUs into one computer. This all means GPU systems can often render much, much faster!
There is also a huge advantage that comes along in CG production. GPU rendering is so fast it can often provide real-time feedback while working. No more going to get a cup of coffee while your preview render chugs away. You can see material and lighting changes happen before your eyes.
GPU Renderer 1.Redshift is the world’s first fully GPU-accelerated, biased renderer and it is also the most popular GPU renderer. Redshift uses approximation and interpolation techniques to achieve noise-free results with relatively few samples, making it much faster than unbiased rendering. From rendering effects, Redshift can reach the highest level of GPU rendering, and render high quality movie-level images.
2.Blender Cycles is Blender’s ray-trace based and unbiased rendering engine that offers stunning ultra-realistic rendering. Cycles can be used as part of Blender and as stand-alone, making it a perfect solution for massive rendering on clusters or at cloud providers.
3.NVIDIA Iray is a highly interactive and intuitive, physically based rendering solution. NVIDIA Iray rendering simulates real world lighting and practical material definitions so that anyone can interactively design and create the most complex of scenes. Iray provides multiple rendering modes addressing a spectrum of use cases requiring realtime and interactive feedback to physically based, photorealistic visualizations.
4.OctaneRender is the world’s first and fastest GPU-accelerated, unbiased, physically correct renderer. It means that Octane uses the graphics card in your computer to render photo-realistic images super fast. With Octane’s parallel compute capabilities, you can create stunning works in a fraction of the time.
5.V-Ray RT (Real-Time) is Chaos Group's interactive rendering engine that can utilize both CPU and GPU hardware acceleration to see updates to rendered images in real time as objects, lights, and materials are edited within the scene.
6.Indigo Renderer is an unbiased, physically based and photorealistic renderer which simulates the physics of light to achieve near-perfect image realism. With an advanced physical camera model, a super-realistic materials system and the ability to simulate complex lighting situations through Metropolis Light Transport, Indigo Renderer is capable of producing the highest levels of realism demanded by architectural and product visualization.
7.LuxRender is a physically based and unbiased rendering engine. Based on state of the art algorithms, LuxRender simulates the flow of light according to physical equations, thus producing realistic images of photographic quality.
GPU Computing Card Parameter Table
Now Fox Renderfarm is applicable to Redshift for Maya and Blender Cycles. There are more than 100 pieces of NVIDIA Tesla M40 cards in Fox Renderfarm cluster, each server has 128G system memory with two M40 computing cards. Welcome to Fox Renderfarm to experience the super fast GPU cloud rendering!
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