RTX 5090 vs RTX 4090 vs RTX PRO 6000 vs RTX 6000 Ada for 3D Rendering (2026)
Four NVIDIA cards cover most GPU rendering choices in 2026. What the specifications mean for Cinema 4D, Redshift, Octane and Blender:
- RTX 5090 vs RTX 4090: The RTX 5090 has 33% more CUDA cores (21,760 vs 16,384), 32 GB vs 24 GB of memory and about 78% more memory bandwidth, at 575 W instead of 450 W.
- Workstation cards: The RTX PRO 6000 Blackwell has only about 10% more CUDA cores than the RTX 5090, but 96 GB of ECC memory at around four times the price. The RTX 6000 Ada has 48 GB and is rated at 300 W.
- VRAM sets the scene limit: Redshift and Octane split each frame across GPUs, but memory is not pooled. Four RTX 5090 cards render faster, yet each scene must still fit in 32 GB.
- When a workstation card is worth it: Single frames that need 40 to 90 GB of GPU memory, ECC memory and certified drivers, or tight power and cooling limits.
- Speed for typical animation: One RTX PRO 6000 costs about as much as four RTX 5090 cards, and four cards render each frame much faster when the scene fits. iRender servers offer 2x, 4x and 8x RTX 5090 or RTX 4090 for this kind of work.
Choosing a GPU for Cinema 4D, Redshift, Octane or Blender usually comes down to four NVIDIA cards: the GeForce RTX 5090 and RTX 4090, and the workstation RTX PRO 6000 Blackwell and RTX 6000 Ada. This guide compares their specifications, explains when the large-memory workstation cards are worth the price, and shows why several GeForce cards are often the faster way to render.
Specifications side by side
The table lists the numbers that matter for GPU rendering: cores, memory, bandwidth, power and launch price.
RTX 5090 vs RTX 4090 vs RTX PRO 6000 vs RTX 6000 Ada
CUDA cores, memory and power as published by NVIDIA and its partners. Prices are launch list prices.
| Spec | GeForce RTX 5090 | GeForce RTX 4090 | RTX PRO 6000 Blackwell | RTX 6000 Ada |
|---|---|---|---|---|
| Architecture | Blackwell | Ada Lovelace | Blackwell | Ada Lovelace |
| CUDA cores | 21,760 | 16,384 | 24,064 | 18,176 |
| VRAMper card, not pooled | 32 GB GDDR7 | 24 GB GDDR6X | 96 GB GDDR7 ECC | 48 GB GDDR6 ECC |
| Memory bandwidth | 1,792 GB/s | 1,008 GB/s | 1,792 GB/s | 960 GB/s |
| Board power | 575 W | 450 W | 600 W | 300 W |
| Launch price | $1,999 | $1,599 | about $8,000–8,500 | $6,799 |
Two things stand out. The RTX PRO 6000 has only about 10% more CUDA cores than the RTX 5090, but three times the memory, ECC and a price around four times higher. The RTX 6000 Ada has slightly more CUDA cores than the RTX 4090 but is rated at 300 W instead of 450 W, which is why it suits quiet multi-card workstations.
A note on sources about VRAM: Maxon’s support article states that Redshift does not combine the VRAM when using multiple GPUs. Maxon’s 3D rendering product page also lists “multi-GPU memory pooling” and says Redshift shares out-of-core memory across multiple cards. This article follows the support article: plan for every GPU holding the scene in its own VRAM. Check Maxon’s latest documentation for your Redshift version.
VRAM: the one spec that sets your scene limit
Speed and memory work differently on multi-GPU machines. Renderers such as Redshift and Octane split each frame across all GPUs, so adding cards adds speed. Memory does not add up: each GPU keeps its own copy of the scene, so the largest scene that stays on the GPU is set by the VRAM of one card.
Data that does not fit can go out-of-core into system RAM in Redshift and Octane, but it renders slower. If most of your frames fit in 32 GB, VRAM is not a reason to buy a workstation card.
RTX 5090 vs RTX 4090 for rendering
The RTX 5090 has 33% more CUDA cores than the RTX 4090 (21,760 vs 16,384), 8 GB more memory and about 78% more memory bandwidth, at 125 W more power. For GPU renderers that means faster frames and room for bigger scenes. The RTX 4090 remains a strong choice when scenes fit in 24 GB and cost per hour matters more than the last bit of speed.
The two videos below show the same kind of Cinema 4D jobs on iRender servers: a 4x RTX 5090 vs 4x RTX 4090 Octane comparison, and a 150-frame Redshift animation on 4x RTX 5090.
More Redshift render times, with the cost of each job, are in our Redshift benchmark.
When the RTX PRO 6000 or RTX 6000 Ada is worth it
- Huge single frames. A scene that needs 40 to 90 GB of GPU memory only stays in-core on a 48 GB or 96 GB card.
- ECC memory and certified drivers. Workstation cards are certified for many CAD and engineering applications and use ECC memory.
- Power and cooling limits. The RTX 6000 Ada runs at 300 W, so several cards fit in one workstation more easily than several 450–575 W GeForce cards.
For most motion-design, product and archviz animation in Redshift or Octane, the price of one RTX PRO 6000 is closer to the price of four RTX 5090 cards, and four cards render each frame much faster when the scene fits.
Which GPU should you choose?
Use your scene size and deadline to decide.
Pick the GPU by your scenes, not by the spec sheet
A practical guide for Redshift, Octane and Cycles work.
| Your situation | Best fit | Why |
|---|---|---|
| Scenes fit in 32 GB, deadline matters | Several RTX 5090 | Redshift, Octane and Cycles split each frame across GPUs, so more cards finish faster. |
| Scenes fit in 24 GB, budget matters | Several RTX 4090 | Still fast for most motion-design and product scenes at a lower hourly rate. |
| One frame needs 40–90 GB of VRAM | RTX PRO 6000 (96 GB) | Only a card with more memory keeps the whole scene on the GPU. Several 32 GB cards do not add up. |
| Needs ECC memory or certified pro drivers | RTX PRO 6000 or RTX 6000 Ada | Workstation cards add ECC and ISV certification for CAD and engineering apps. |
You do not have to buy the cards to use them. iRender rents dedicated servers with 1, 2, 4 or 8 RTX 5090 or RTX 4090 GPUs, with Cinema 4D, Redshift and Octane pre-installed. A 4x RTX 5090 server costs $38 per hour and a 4x RTX 4090 server $30 per hour, billed per minute, and the first top-up of $50 or more gets a 100% bonus. See all plans on our Cinema 4D Redshift render farm page.
FAQ: RTX 5090, RTX 4090 and workstation GPUs
Is the RTX 5090 better than the RTX 6000 Ada for rendering?
It has more CUDA cores (21,760 vs 18,176) and much higher memory bandwidth, so it is usually faster when the scene fits in its 32 GB. The RTX 6000 Ada has 48 GB of ECC memory and uses 300 W instead of 575 W.
Does 4x RTX 5090 give 128 GB of VRAM?
No. Each GPU holds its own copy of the scene, so the limit per scene stays at 32 GB. Four cards add speed, not memory.
Who needs the 96 GB RTX PRO 6000?
Artists and studios whose single frames need more than 32–48 GB of GPU memory, or who need ECC and certified pro drivers.
Is the RTX 4090 still good for Redshift and Octane in 2026?
Yes, when scenes fit in 24 GB. Several RTX 4090s still render most Cinema 4D animations quickly.
Can I try 4x or 8x RTX 5090 before buying hardware?
Yes. iRender rents 2x, 4x and 8x RTX 5090 and RTX 4090 servers by the minute, so you can render your own scene on each and compare.
