Petronella Technology Group
(919) 348-4912
Professional Visualization & Rendering

Multi-GPU Rendering Workstations

4x NVIDIA RTX PRO 6000 Blackwell for Blazing-Fast Renders

Up to 384GB of GPU memory with 24,064 CUDA cores and 4th-generation RT cores per GPU. Blender, V-Ray, OctaneRender, Unreal Engine, and DaVinci Resolve at maximum speed.

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Built for These Workflows

Multi-GPU rendering workstations accelerate every stage of the creative and production pipeline.

Blender Cycles

Near-linear multi-GPU scaling with OptiX RT cores. 4x GPUs render 3.8x faster than a single card. 96GB per GPU means massive scenes stay entirely in VRAM.

V-Ray GPU

Chaos V-Ray GPU scales across all available GPUs automatically. Combined 384GB VRAM handles architectural scenes with hundreds of millions of polygons and 8K textures.

OctaneRender

OTOY OctaneRender distributes work across multiple GPUs for real-time preview and final rendering. ECC memory ensures bit-perfect output for production work.

Unreal Engine

Real-time visualization, virtual production, and Lumen global illumination benefit from massive GPU memory for streaming high-resolution assets. Path tracing uses RT cores for film-quality output.

DaVinci Resolve

Multi-GPU accelerates timeline playback, color grading, Fusion compositing, and AI-powered features like Magic Mask, Speed Warp, and Super Scale in DaVinci Resolve Studio.

After Effects & Premiere Pro

GPU-accelerated effects, Mercury Playback Engine, and CUDA-powered third-party plugins (Red Giant, BorisFX) all benefit from professional GPU memory and compute.

Rendering Workstation Lineup

From dual-GPU mid-range to quad-GPU maximum performance, all built on AMD Threadripper platforms.

Maximum Performance
384 GB VRAM Desktop Tower

Threadripper Pro 9000 4-GPU Rendering Workstation

Maximum bandwidth and VRAM for the most demanding rendering pipelines

CPU AMD Threadripper PRO 9955WX
GPU 4x RTX PRO 6000 Blackwell 96GB
Total VRAM 384 GB GDDR7 ECC
CUDA Cores 4x 24,064 = 96,256
RT Cores 4th Generation (per GPU)
Storage Twin NVMe
Call for Pricing: (919) 348-4912
384 GB VRAM Desktop Tower

Threadripper 9000 4-GPU Rendering Workstation

Power-efficient quad-GPU with MaxQ GPUs for lower thermal output

CPU AMD Threadripper 9960X
GPU 4x RTX PRO 6000 Blackwell MaxQ 96GB
Total VRAM 384 GB GDDR7 ECC
GPU TDP 4x 300W (vs 600W full-size)
Storage Twin NVMe
Call for Pricing: (919) 348-4912
64 GB VRAM Desktop Tower

Threadripper 9000 2-GPU Rendering Workstation

Dual NVIDIA RTX 5090 for excellent price-to-performance rendering

CPU AMD Threadripper 9960X
GPU 2x NVIDIA RTX 5090 32GB
Total VRAM 64 GB GDDR7
Storage Twin NVMe
Call for Pricing: (919) 348-4912
96 GB VRAM Rackmount

Threadripper 9000 Rendering Rack Workstation

Rack-mounted rendering node for render farms and shared studios

CPU AMD Threadripper PRO 9965WX
GPU 1x RTX PRO 6000 Blackwell MaxQ 96GB
VRAM 96 GB GDDR7 ECC
Storage Twin NVMe
Call for Pricing: (919) 348-4912

Performance Comparison

Compare GPU configurations to find the right balance of VRAM, compute, and budget for your rendering workflow.

Specification TR Pro 4-GPU TR 4-GPU MaxQ TR 2x RTX 5090 Rack (1-GPU)
CPU TR PRO 9955WX TR 9960X TR 9960X TR PRO 9965WX
GPU Config 4x RTX PRO 6000 4x RTX PRO 6000 MQ 2x RTX 5090 1x RTX PRO 6000 MQ
Total VRAM 384 GB ECC 384 GB ECC 64 GB 96 GB ECC
Total CUDA Cores 96,256 96,256 ~42,000 24,064
Total GPU TDP 2,400W 1,200W ~900W 300W
Form Factor Desktop Tower Desktop Tower Desktop Tower Rackmount
Best For VFX, arch-viz, film Efficient quad-GPU Mid-range value Render farm node
Discuss Your Rendering Needs: (919) 348-4912

Frequently Asked Questions

Why is GPU rendering faster than CPU rendering?
GPUs have thousands of parallel cores designed for simultaneous computation. A single NVIDIA RTX PRO 6000 Blackwell has 24,064 CUDA cores versus 32-64 cores in a high-end CPU. For ray tracing workloads, GPU rendering is typically 10-50x faster. The 4th-generation RT cores provide hardware-accelerated ray tracing that has no CPU equivalent, making path tracing and global illumination dramatically faster on GPUs.
Do multi-GPU setups scale linearly for rendering?
GPU rendering scales nearly linearly with the number of GPUs in most modern renderers. A 4-GPU system typically delivers 3.7-3.9x the performance of a single GPU in Blender Cycles, OctaneRender, and V-Ray GPU. The small overhead comes from scene distribution and memory synchronization. This is one of the most cost-effective ways to multiply rendering throughput.
Which rendering software supports multi-GPU?
Most modern GPU renderers support multi-GPU: Blender Cycles, OctaneRender, V-Ray GPU, Redshift, Arnold GPU, KeyShot GPU, and Chaos Corona GPU. DaVinci Resolve uses multi-GPU for real-time video processing, color grading, and Fusion compositing. Unreal Engine uses GPU compute for viewport rendering and path tracing. We can advise on the best configuration for your specific software stack. Call (919) 348-4912.
Should I choose RTX PRO 6000 or RTX 5090 for rendering?
The NVIDIA RTX PRO 6000 Blackwell has 96GB of ECC GDDR7 memory, making it essential for large scenes that exceed 32GB VRAM. It also has enterprise driver support and is validated for 24/7 operation. The NVIDIA RTX 5090 with 32GB is excellent for scenes that fit in memory and offers strong price-to-performance. For architectural visualization with massive datasets, choose the RTX PRO 6000. For motion graphics and moderate-complexity scenes, the RTX 5090 delivers great value.
Why does VRAM matter for rendering?
GPU VRAM must hold the entire scene: geometry, textures, materials, and lighting data. When a scene exceeds available VRAM, the GPU renderer either falls back to CPU rendering (much slower), uses out-of-core rendering (slower), or fails entirely. The 96GB ECC memory on the NVIDIA RTX PRO 6000 Blackwell means even the most complex architectural, VFX, and scientific visualization scenes fit entirely in GPU memory at full quality.
Can these workstations handle AI alongside rendering?
Yes. The NVIDIA RTX PRO 6000 Blackwell features 5th-generation Tensor Cores alongside CUDA and RT cores. Many studios now use AI-powered denoising (OptiX, OIDN), AI upscaling, AI-assisted texture generation, and AI-driven asset creation. These workstations handle rendering and AI workflows on the same hardware, making them future-proof investments.

Render Faster, Create More

Talk to our hardware specialists about the right GPU rendering configuration for your studio, workflow, and budget.

Call Now: (919) 348-4912 Or Schedule a Call