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#Cube c4d render pack windows 10#

At the same time, we realized that, with the 6xRTX 2080Ti package, up to 90% of today’s Redshift job volume can be completely solved. So, you can see that iRender’s 6xGPUs package will always cost much cheaper than the 8xGPUs package of other render farms (in performance/price ratio). As for 6 GPUs, the associated hardware is extremely diverse, helping to minimize installation and operating costs. However, according to our research, it takes a lot more effort and expense to have 8 GPUs installed at the same time to get maximum performance. Redshift supports a maximum of 8 GPUs per session.

#Cube c4d render pack windows 10#

In terms of operating system, iRender currently provides services with two operating systems: 64-bit Windows 10 and 64-bit distribution Ubuntu 18.04.5 LTS with glibc 2.27, ensuring the recommended operating system that Redshift offers.

Thus, CPU is also considered as one of the criteria that can not be ignored. Depending on the complexity of each scene file, these processing stages can take a considerable amount of time, and as a result, lower-end processors can bottleneck overall rendering performance. These include extracting mesh data from your 3D application, loading textures from disk, and preparing scene files for GPU. Although Redshift mainly depends on GPU performance, some processing stages that occur during post-processing also depend on the performance of CPU, disk or network drive.

The Dual Xeon E5-2673 v3 processor has also completely met the CPU requirement from Redshift.

A RAM capacity of 128GB is many times higher than recommended.

This package uses Nvidia RTX 2080Ti with a VRAM capacity up to 11GB, which completely exceeds the Redshift recommendation of an Nvidia GPU with CUDA compute capabilities 7.0 and 8GB VRAM capacity or higher.This is one of the main reasons I recommend the 6xRTX 2080 Ti package that has shown significantly better performance up to 5.5 to 5.8 times more powerful, making your render process is also 5.5 to 5.8 times less than a single GPU package. Redshift supports multi GPUs on one machine, increasing rendering performance multiple times.In fact, this configuration not only surpasses the minimum hardware requirements of Redshift, but it also exceeds the recommended requirements above:.For MacOS with NVidia GPU: NVIDIA GPU with CUDA compute capability 6.0 and 8GB of VRAM.We recommended a NVIDIA Quadro, Titan or GeForce RTX GPU for hardware-accelerated ray tracing For Windows and Linux: NVIDIA GPU with CUDA compute capability 7.0 or higher and 8GB of VRAM or higher.Core i7 or Xeon equivalent, 3.0GHz or higher.For MacOS with NVidia GPU: NVIDIA GPU with CUDA compute capability 3.0 or higher and 8GB of VRAM.For Windows and Linux: NVIDIA GPU with CUDA compute capability 3.0 or higher and 8GB of VRAM.Processor with SSE2 support (Pentium4 or better).MacOS with Nvidia GPU: Sierra (10.12) or High Sierra (10.13).Linux: 64-bit distribution with Glibc 2.17 or higher.Microsoft Windows: 64-bit Window 7/8/10 or higher.

In terms of hardware, Redshift users can easily choose their own suitable machine configuration. In terms of software, Redshift supports a variety of 3D applications such as Maya, 3dsMax, Cinema4D, Houdini, Katana, and Blender.