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人々がCPUレンダリングエンジンを使い続ける理由は次のとおりです。!intel 複雑なプロジェクトを処理できるGPUの高速処理の背後にある理由は、データの巨大なチャンクを同じ方法で何度も実行することによって処理するように設計されているためです。GPUで有名な速度を活用するには、ユーザーは同じ実行のみを必要とする大量のデータを処理する必要があります。それどころか、CPUレンダラーを使用すると、さまざまな操作を必要とするさまざまなタスクをスムーズに処理できます。理想的なユースケースは、異なる部屋を異なる方法で設計する必要がある建築プロジェクトです。 メモリの増加現在のGPUの最大メモリポテンシャルは12GBに達します。複数のプロジェクトを処理している設計者にとって、12GB相当のグラフィックリソースを使用することはまったく難しい作業ではありません。さらに、CPUメモリとは異なり、GPUレンダラーを増やしてもGPUメモリはスタックしません。したがって、GPUレンダラーを追加する場合は注意が必要です。そうしないと、既存のレンダーエンジンのパフォーマンスが低下する可能性があります。それどころか、CPUシステムはCPUあたり最大768 GBのRAMに相当するメモリをサポートしているため、4xCPUマシンで1.5TB以上を使用できます。この追加メモリにより、さまざまなタスクをスムーズに管理できます。 安定CPUレンダラーは組み込みであるため、コンピューターの雰囲気と完全に統合され、シームレスなユーザーエクスペリエンスを提供します。これにより、安定性と信頼性が向上します。外部コンポーネントとして、GPUレンダラーは、適切に統合されていない場合にシステムをクラッシュさせるだけでなく、頻繁なドライバーの更新も作業の妨げになる可能性があります。 品質多くの人にとって、画像の品質はメディアが処理される速度よりも重要です。統合ソリューションであるため、CPUレンダラーは大幅に改善された画質を提供します。あなたが時間効率よりも正確な品質を好む人なら、これはあなたのためです。

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 a free trial with Fox Renderfarm’s GPU rendering.Let’s get it started!What're 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 CPUWhat’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 a 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 renders chugs away. You can see material and lighting changes happen before your eyes. GPU Renderer1. 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 real-time 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 TableNow 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!