Building a workstation optimised for OctaneRender means putting the GPU front and centre. With GPU-accelerated rendering, every other component supports the graphics cards for maximum efficiency.
OctaneRender is a powerful, GPU-accelerated rendering engine developed by OTOY, widely used in architecture, visual effects, and product design. Unlike CPU-based rendering engines, OctaneRender relies entirely on the GPU, making the choice of graphics card the most crucial factor when building a workstation. However, the processor, memory, and storage also play important roles in ensuring smooth performance and efficient workflows.
Is OctaneRender CPU or GPU-Based?
OctaneRender is fully GPU-based. Rendering performance is directly tied to the GPU rather than the CPU. The CPU still handles scene loading, animations, and system management, but the actual rendering computations are GPU-driven. When selecting hardware, the GPU should be the primary investment, while the CPU and other components should support a multi-GPU setup efficiently.
Choosing the Right Processor (CPU) for OctaneRender
Although OctaneRender does not rely on the CPU for rendering, a strong processor is still important for general system performance, managing assets, and running 3D modelling applications alongside OctaneRender. Clock speed is more important than core count for most tasks, while PCIe lanes determine how many GPUs the system can support.
Recommended CPUs for OctaneRender Workstations:
- AMD Ryzen 7 9700X (8 Core, High Clock Speed) – Excellent for Cinema 4D, Maya, or 3ds Max alongside OctaneRender. Supports dual GPUs while remaining cost-effective.
- AMD Threadripper PRO 7965WX (24 Core, High PCIe Lanes) – Ideal for multi-GPU setups, supporting up to four graphics cards. Recommended for large projects needing extreme GPU scalability.
A high-end CPU improves scene loading times and overall responsiveness. Prioritize a balanced processor while focusing on GPU performance.
Selecting the Best GPU for OctaneRender
The GPU is the most important component in an OctaneRender workstation, directly affecting rendering speed and scene complexity. Key considerations include raw computational power and VRAM capacity. More powerful GPUs render faster, while higher VRAM allows larger, detailed scenes.
Recommended GPUs for OctaneRender:
OctaneRender scales exceptionally well with multiple GPUs, significantly reducing render times. Proper cooling is essential in multi-GPU systems.
Multi-GPU Scaling in OctaneRender
OctaneRender nearly doubles performance with each additional GPU. However, standard GeForce RTX cards use open-air cooling, which can lead to thermal throttling in close multi-GPU configurations. Professional-grade GPUs with blower-style cooling are recommended for optimal performance.
Key Considerations for Multi-GPU Workstations:
- Power Supply Requirements: High-wattage PSU (≥1600W for 3–4 GPUs) is required
V-Ray Workstation Guide 2025 – Ultra Short
Why: Fast renders, smooth workflow
Local CPU: Threadripper 7995WX, Xeon W9-3495X, Ryzen 9 9950X – solo artists/small studios
Networked CPU: EPYC 9755, Xeon Platinum 8592+ – large studios, 10GbE+ network
Local GPU: RTX 6000 Ada, RTX 5090, Radeon Pro W7900 – fast single-system renders, check VRAM & PSU
Networked GPU: Multi RTX 6000 Ada + NVMe – big projects
Summary:
- Motherboard PCIe Slots & Spacing: Sufficient slots and proper spacing prevent overheating.
- Chassis & Cooling: Large tower or rackmount cases with ample ventilation maintain optimal temperatures.
For cost efficiency, multiple mid-range GPUs often outperform fewer high-end cards while keeping expenses manageable.
V-Ray Workstation Guide 2025 – Ultra Short
Why: Fast renders, smooth workflow
Local CPU: Threadripper 7995WX, Xeon W9-3495X, Ryzen 9 9950X – solo artists/small studios
Networked CPU: EPYC 9755, Xeon Platinum 8592+ – large studios, 10GbE+ network
Local GPU: RTX 6000 Ada, RTX 5090, Radeon Pro W7900 – fast single-system renders, check VRAM & PSU
Networked GPU: Multi RTX 6000 Ada + NVMe – big projects
Summary:
-
Solo/small → Local CPU/GPU
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Large → Networked CPU/GPU
V-Ray Workstation Guide 2025 – Ultra Short
Why: Fast renders, smooth workflow
Local CPU: Threadripper 7995WX, Xeon W9-3495X, Ryzen 9 9950X – solo artists/small studios
Networked CPU: EPYC 9755, Xeon Platinum 8592+ – large studios, 10GbE+ network
Local GPU: RTX 6000 Ada, RTX 5090, Radeon Pro W7900 – fast single-system renders, check VRAM & PSU
Networked GPU: Multi RTX 6000 Ada + NVMe – big projects
Summary:
Memory (RAM) Considerations
While OctaneRender depends primarily on GPU VRAM, system RAM is important for large projects and multitasking. A minimum of 32GB RAM is recommended, with 64GB+ advised for heavy multitasking or working with complex 3D scenes in Blender, Maya, or 3ds Max.
Storage Recommendations
Fast storage ensures smooth workflow. Ideal setup includes:
- Primary Drive (OS & Software): NVMe SSD (1TB)
- Project Drive: NVMe SSD (1–2TB) for active files
- Long-Term Storage: HDD or NAS for backups and archival data
Using multiple SSDs for different tasks prevents bottlenecks and ensures seamless performance.
Network Rendering in OctaneRender
OctaneRender supports network rendering, allowing tasks to be distributed across multiple machines for faster performance. Each node requires a standalone OctaneRender license and a compatible GPU. Cross-platform compatibility between Windows and Linux is supported. Workstation Specialists Multi-GPU servers are ideal for networked GPU render farm setups.
Conclusion: Building the Best Workstation for Otoy OctaneRender
For optimal OctaneRender performance, prioritize a high-end GPU or multi-GPU setup. A balanced workstation should include a fast CPU with sufficient PCIe lanes, ample RAM, high-speed SSD storage, and robust cooling for multi-GPU configurations.
If you need a custom-built workstation tailored to your OctaneRender workflow, request a quote online, call us at +44 1332 280380, or email [email protected] to speak with our experts.
