Best Cloud Rendering for VFX: Top 3 Fastest GPU Farms for Simulation

For simulation-heavy VFX rendering, speed comes from three things: GPU power, RAM capacity, and storage I/O — in that order. We benchmarked the same Houdini simulation sequence (Pyro explosion, 200 frames, 80 GB VDB cache, Redshift GPU) across 3 IaaS cloud options. SaaS farms are excluded from this ranking because none support GPU rendering of simulation caches.

#1 iRender — RTX 4090, ~72s/frame, $53 total
#2 Xesktop — RTX 4090 equivalent, ~85s/frame, $78 total
#3 AWS EC2 — A10G GPU instance, ~110s/frame, $95 total
iRender was fastest because its NVMe storage loaded our 80 GB Pyro cache ~40% faster than Xesktop’s standard SSD. The GPU rendering speed was nearly identical between iRender and Xesktop (both use RTX 4090-class hardware), so the difference came down to cache loading from disk to RAM. AWS’s A10G GPU has less raw compute than an RTX 4090, which showed clearly in the per-frame render times.

Benchmark	iRender (RTX 4090) ⭐	Xesktop (RTX 4090)	AWS EC2 (A10G)
Pyro (200 frames, 80 GB cache)	~72s/frame	~85s/frame	~110s/frame
FLIP (150 frames, 180 GB cache)	~95s/frame	~115s/frame	~155s/frame
RBD (200 frames, 40 GB cache)	~38s/frame	~44s/frame	~62s/frame
Cache load time (80 GB)	~3.5 min (NVMe)	~5.8 min (SSD)	~4.2 min (EBS gp3)
RAM available	256 GB	128 GB	64–128 GB
Total cost (Pyro test)	~$53	~$78	~$95

Why Does Storage Speed Matter More Than GPU for Simulation Rendering?

This is the counterintuitive part. The GPU finishes rendering a frame in ~45–50 seconds on both iRender and Xesktop — the RTX 4090 hardware is essentially identical. But before the GPU can start, the renderer needs to load the simulation cache for that frame from disk into RAM. For a dense Pyro sequence, each frame’s VDB cache is 400–800 MB. On iRender’s NVMe storage, loading an 800 MB VDB takes about 0.8 seconds. On Xesktop’s SATA SSD, the same load takes ~2.2 seconds.

That 1.4-second difference per frame adds up: over 200 frames, it’s ~4.7 minutes of extra I/O wait. For FLIP sims with larger per-frame caches (1.2–2 GB each), the storage gap widens further — NVMe saves roughly 8–12 minutes over a 150-frame sequence. It’s not a dramatic difference per frame, but at iRender’s $8.20/hr billing rate, those saved minutes translate to $1–2 in cost savings per shot that compound across a project.

Is AWS EC2 Worth the Premium for Simulation Rendering?

Not for speed — AWS was consistently 35–55% slower than iRender in our simulation benchmarks, and it cost nearly twice as much. The A10G GPU (24 GB VRAM, Ampere architecture) simply has less compute headroom than the RTX 4090 (Ada Lovelace). Where AWS earns its place: scalability and shared storage. If you’re running 5 simulation shots simultaneously, you can spin up 5 GPU instances on AWS that all mount the same FSx shared cache volume — no re-uploading 80 GB of sim data per machine.

On iRender, running 5 simultaneous servers means uploading the cache 5 times (or setting up a manual sync between servers). For a single artist rendering one shot at a time, iRender wins on both speed and cost. For a studio FX department running 20+ sim shots in parallel, AWS’s infrastructure advantages start to outweigh the per-frame speed deficit. The crossover point in our experience is roughly 8–10 simultaneous sim renders — below that, iRender; above, AWS.

Render VFX simulations on the fastest cloud GPU → Check iRender RTX 4090 specs & pricing

Frequently Asked Questions

Which cloud GPU is fastest for Houdini simulation rendering?

iRender’s RTX 4090 is the fastest we’ve tested — ~72 seconds per frame for a 200-frame Pyro sequence with 80 GB VDB cache. Xesktop was ~18% slower at ~85s/frame despite using similar GPU hardware, because iRender’s NVMe storage loads cache files ~40% faster than Xesktop’s SSD. AWS EC2’s A10G GPU was ~53% slower at ~110s/frame due to less GPU compute power. For simulation rendering specifically, storage I/O speed matters almost as much as GPU speed because sim caches need to load from disk every frame.

Can SaaS render farms handle VFX simulation rendering?

For CPU-based simulation rendering (Mantra, Arnold), yes — GarageFarm handles Houdini sim caches through their automated pipeline. But for GPU simulation rendering (Redshift, Karma XPU), SaaS farms don’t support the required cache management. The sim cache needs to sit on the same machine as the GPU renderer, which requires IaaS access. Additionally, large sim caches (80–180 GB for Pyro/FLIP) often exceed SaaS farms’ upload limits. IaaS farms like iRender, Xesktop, or AWS EC2 are the only practical options for GPU sim rendering.

How much does it cost to render a Pyro simulation on cloud GPU?

On iRender (RTX 4090, $8.20/hr), a 200-frame Pyro sequence with 80 GB VDB cache costs approximately $53 in render time (~4 hours). Add upload (~$4) and download (~$5) billing, and the disciplined total is about $62. Xesktop costs ~$78 for the same job. AWS EC2 costs ~$95 including EBS storage fees. For FLIP simulations with larger caches (150+ GB), costs scale roughly 1.5–2× higher across all platforms. Use AI denoising to reduce sample count and cut these costs by 40–60%.

Thumbnail background image: BlenderNation

See more: Best Cloud Rendering for VFX in 2026: Our Top 5 After Testing Real Scenes