Powerful Cloud Render Farm for Houdini using Redshift Renderer.
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Optimize for Houdini using Redshift Multi-GPU Rendering Tasks on the Cloud.
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iRender Render Farm is a GPU-Acceleration Cloud Rendering Service for Houdini using Redshift Multi-GPU Rendering with Powerful Render Nodes: 2/4/6/8 x RTX 4090/5090. Rent servers in the IaaS Render Farm model (Infrastructure as a Service) at your disposition and enjoy working with a scalable infrastructure.
Let’s work together and “Your Renders, Your Rules”.
High-speed Cloud Render Farm for Houdini with Redshift render
iRender: Houdini & Redshift Render Farm – Render Nodes: 1/2/4/6/8 x RTX 4090.
We support all 3D Render Engine with Houdini: Redshift, Octane, V-Ray (RT), Karma, Mantra, Arnold and so on.
SideFX Houdini & Maxon Redshift: The High-Throughput Production Synergy
SideFX Houdini is the entertainment industry’s gold standard for procedural generation, physical simulation, and complex visual effects. Driven by a non-destructive, node-based architecture, Houdini serves as the backbone for tier-one VFX and animation pipelines—including Industrial Light & Magic (ILM), DNEG, Framestore, and Sony Pictures Imageworks. From multi-million-cell Pyro simulations and hyper-detailed FLIP fluids to massive procedural environments and crowd systems, Houdini offers unmatched technical control over dynamic digital assets.
Maxon Redshift is a production-proven, pure GPU-accelerated renderer purpose-built to satisfy the high-throughput requirements of high-end feature film, commercial, and broadcast pipelines. Combining physically accurate brute-force path tracing with industry-leading out-of-core memory paging, Redshift executes complex spatial ray traversal, BVH indexing, and deep shader networks with exceptional efficiency across multi-GPU hardware nodes.
The Pipeline Synergy: Procedural Power Meets Multi-GPU Velocity
Integrated seamlessly into both Houdini’s native SOP/DOP contexts and Solaris as a dedicated Hydra Render Delegate, Redshift processes procedural instances, point attributes, and sparse OpenVDB volume grids with near-zero translation delay. This unified pipeline delivers instantaneous interactive viewport feedback (IPR) for lighting artists and enables render nodes to scale near-linearly across high-density multi-GPU clusters, transforming heavy simulation caches into finished sequence deliveries in seconds rather than hours.
Inside the Redshift Kernel: Hardware Execution & Ray Dispatch in Houdini
Maximizing render throughput in Maxon Redshift within SideFX Houdini requires aligning the engine’s mathematical pruning algorithms directly with dedicated GPU compute silicon. From variance-driven adaptive sampling and aggressive Russian Roulette ray termination to decoupled per-AOV sample overrides, Redshift empowers Technical Directors to isolate and fine-tune noise thresholds across direct lighting, global illumination (GI), and volumetric scattering passes. Hardware-accelerated RT Cores execute bounding volume hierarchy (BVH) ray-primitive intersection tests at physical wire speed, leaving general-purpose CUDA Streaming Multiprocessors (SMs) completely unimpeded to evaluate complex procedural shader networks, VEX-driven point attributes, and surface BSDFs.
Deploying Redshift on dedicated bare-metal GPU infrastructure eradicates the severe I/O throttles, hypervisor latency, and GPU virtualization penalties typical of multi-tenant cloud platforms. Houdini’s procedural nature places heavy computational demand on the host system prior to ray dispatch: high-frequency, high-IPC enterprise processors (such as AMD Ryzen™ Threadripper™ PRO) eliminate CPU starvation during complex SOP node cooking, packed primitive extraction, VDB voxel grid unpacking, and Solaris USD Stage translation. Simultaneously, massive 32GB GDDR7 physical frame buffers (NVIDIA RTX 5090) guarantee that dense procedural point instances, uncompressed OpenVDB pyro grids, and multi-gigabyte simulation caches remain 100% In-Core, preventing the catastrophic PCIe bandwidth collapse caused by Out-of-Core memory paging.
Maxon Redshift in Houdini: Hardware Execution & Ray Dispatch Pipeline
Resource distribution across dedicated RT Cores, CUDA SMs, and 32GB In-Core memory during SOP cooking and Solaris USD evaluation.
| Pipeline Stage | Execution Flow & Ray Scheduling | Hardware Allocation & Profile |
|---|---|---|
| 1. Geometry & BVH Ray-Primitive Intersection |
SOP / USD Geometry Dispatch
→ Hardware RT Cores → BVH Traversal & Hit Point |
Dedicated RT Silicon Saturation Offloads spatial bounding-box (BVH) traversals across packed primitives, procedural curve hair/fur, and dense polygonal meshes directly to hardware RT Cores. |
| 2. Material Shading VEX & Shader Evaluation |
Surface Hit Point
→ CUDA Streaming Multiprocessors → VEX Attributes & RS Shaders |
General-Purpose Compute Core CUDA SMs evaluate Redshift Standard Surface graphs, unpack .rstexbin tiles, and parse custom Houdini point attributes (Cd, pscale, orient) at runtime. |
| 3. Adaptive Sampling Variance-Driven Pruning |
Variance Threshold
→ Decoupled AOV Rays → Early Russian Roulette |
Algorithmic Bias Control Prunes low-contribution secondary bounces and isolates sample budgets (Reflection, SSS, and Volumetrics), preventing wasteful over-sampling on heavy simulation passes. |
| 4. Memory & Volumetrics In-Core / Out-of-Core Paging |
Texture & VDB Budget
→ 100% In-Core (32GB VRAM) → Out-of-Core Host Paging |
Fail-Safe Memory Hierarchy 32GB GDDR7 keeps multi-tile UDIMs, dense point instances, and uncompressed OpenVDB Pyro grids 100% In-Core; seamless PCIe host paging prevents OOM aborts on peak simulation frames. |
| 5. Denoising & Output Multi-Pass Deep Frame Delivery |
Deep Cryptomatte / AOVs
→ Altus Dual-Pass / OptiX AI → 32-bit Multi-Channel EXR |
Production-Ready Artifact Suppression Leverages cross-frame geometric variance filtering to preserve sharp volumetric detail and micro-particle highlights without introducing temporal flickering across shot sequences. |
Why Choose IaaS Over SaaS for Houdini/Redshift Multi-GPU Rendering
Why iRender is Purpose-Built as a High-Performance Redshift Render Farm for SideFX Houdini Pipelines
iRender’s bare-metal IaaS architecture provides an enterprise cloud environment precision-engineered to meet the heavy procedural and geometric demands of SideFX Houdini and Maxon Redshift across four core operational advantages:
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Near-Linear Multi-GPU Scaling (Up to 8x GPUs): Redshift evaluates ray-tracing samples and spatial hierarchies independently across physical devices with virtually zero inter-GPU communication overhead. iRender maximizes this architectural strength with bare-metal nodes equipped with up to 8x NVIDIA RTX 4090 or RTX 5090 (32GB GDDR7) GPUs on dedicated PCIe lanes—delivering near-perfect linear scaling to compress heavy VFX sequences and cinematic turnarounds from days to hours.
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Eliminating Out-of-Core Penalties & VRAM Bottlenecks: When scenes exceed onboard VRAM, Redshift’s Out-of-Core (OOC) architecture pages data into host system RAM, penalizing render speeds by 50% to 70% over the PCIe bus. iRender neutralizes this performance drop by deploying dedicated 32GB GDDR7 frame buffers on RTX 5090 nodes, backed by enterprise AMD Ryzen™ Threadripper™ PRO processors and 256GB RAM—keeping millions of packed primitives, dense OpenVDB pyro grids, and massive Solaris USD stages strictly In-Core for zero-throttling production rendering.
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100% Pipeline Sovereignty, Custom HDAs & Plugin Freedom: Houdini pipelines rely heavily on targeted SideFX production builds, studio-specific environment variables (JSON packages), custom HDAs (Houdini Digital Assets), and specialized solvers like Axiom. Unlike rigid SaaS farms with locked worker nodes prone to version conflicts and asset path breaks, iRender grants full root administrative Remote Desktop access. Technical Directors (TDs) and VFX artists can configure, license, and execute their exact pipeline 1:1, identically to a local high-end workstation.
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Interactive IPR Auditing & Zero “Black Box” Rendering: Traditional SaaS farms operate as opaque “black boxes” where broken USD references, unexpanded geometry, or shader parsing errors are only discovered after hours of failed batch jobs. On iRender, artists remote directly into the cloud node, open the Houdini GUI, and run the Redshift RenderView (IPR) or Solaris Hydra delegate (hdRedshift) in real time. Artists can audit VRAM allocation, fine-tune volumetric density, check camera passes, and patch scene graphs on the fly before firing off final sequences.
Maxon Redshift VRAM Architecture: In-Core Allocation vs. Out-of-Core Paging in Houdini
While Redshift is renowned for its fail-safe Out-of-Core (OOC) memory architecture, maintaining a 100% In-Core footprint is vital for maximizing GPU ray-tracing performance. In heavy Houdini VFX pipelines—involving multi-gigabyte OpenVDB volumetric grids, dense packed primitives, and complex Solaris USD stages—exceeding physical memory triggers continuous paging of geometry and textures across the PCIe bus to host RAM. This PCIe traversal introduces severe bus latency and memory thrashing, which can degrade rendering throughput by 50% to 70%.
The expanded 32GB GDDR7 frame buffer on iRender’s dedicated RTX 5090 nodes decisively resolves this bottleneck. Backed by 1.8 TB/s of memory bandwidth, Technical Directors can keep massive simulation caches, high-density particle instances, and procedural geometry entirely resident in high-speed GPU silicon—bypassing the PCIe bus completely to sustain peak hardware speeds.
Maxon Redshift in Houdini: VRAM Allocation & In-Core Memory Benchmark
Analyzing memory residency, volumetric caching, and Out-of-Core paging across Houdini VFX simulations and Solaris USD workloads.
| Scene Workload Vector | 24GB Baseline (RTX 4090) | 32GB Baseline (RTX 5090) | Pipeline Impact |
|---|---|---|---|
| Texture Cache Budget 8K UDIMs & .rstexbin |
Restricted to 4GB–6GB Frequent cache evictions and repeated PCIe bus reads when evaluating multi-tile UDIM assets across heavy shading trees. |
Expanded to 10GB–12GB Dozens of production UDIM sets remain resident In-Core; leverages 1.8 TB/s GDDR7 bandwidth for zero-latency texture lookups. |
Eliminates texture streaming stalls during IPR sessions and bucket generation. |
| High-Density Volumetrics Houdini Pyro, Axiom & OpenVDB |
Triggers Early Paging Multi-channel simulation grids (density, temperature, velocity) compete with geometry, forcing volume slices Out-of-Core. |
100% In-Core Volume Grids Sufficient physical memory to load dense, uncompressed OpenVDB channels concurrently with heavy hero assets. |
Prevents severe frame-time spikes on complex pyroclastic and explosion shots. |
| Production VFX Workloads Solaris USD & Packed Primitives |
Out-of-Core Paging Active Heavy unpacked geometry exceeds 24GB; pages excess point attributes to host RAM, causing a 20%–40% performance hit. |
100% In-Core Execution Entire Solaris USD stage, instanced primitives, and shading buffers remain resident in GPU memory; zero bus paging. |
Preserves native silicon compute throughput on episodic and cinematic sequences. |
| Extreme VFX Datasets > 32GB FLIP Meshes, Crowds & USD |
Severe Bus Thrashing Heavy page swapping of millions of animated primitives across PCIe cripples compute throughput by 50% to 70%. |
High-Speed Swapping 32GB buffer keeps an additional 8GB on-card; GDDR7 bandwidth streams unavoidable paged data dramatically faster. |
Maximum stability for large-scale environment sets and massive crowd layouts. |
SideFX Houdini & Maxon Redshift Multi-GPU Production Scaling Matrix: RTX 4090 vs. RTX 5090
Because Maxon Redshift distributes compute-heavy ray-tracing calculations and tile-based bucket sampling across physical GPUs with minimal synchronization overhead, performance scaling across multiple cards is virtually linear. The benchmark comparison below illustrates the generational leap from our battle-tested RTX 4090 nodes to the newly deployed RTX 5090 architecture—combining higher hardware RT Core throughput with an expanded 32GB GDDR7 frame buffer per card to guarantee 100% In-Core stability for complex procedural networks, dense OpenVDB simulations, and massive Solaris USD environments in SideFX Houdini under tight production deadlines.
SideFX Houdini & Redshift Multi-GPU Production Scaling Matrix: RTX 4090 vs. RTX 5090
Evaluating raw ray-tracing compute throughput, replicated VRAM architecture, and Houdini VFX production workload tiers.
| GPU Setup | Redshift Relative Speedup & Visual Scaling | VRAM Allocation | Target Production Pipeline |
|---|---|---|---|
| 1x RTX 4090 Baseline Node |
1.0x (Baseline) |
24GB GDDR6X Standard Frame Buffer |
Initial SOP network testing, shader lookdev, and single-card Redshift RenderView / Solaris IPR verification. |
| 1x RTX 5090 Next-Gen Single |
~1.28x Speedup |
32GB GDDR7 +33% VRAM Headroom |
Interactive LookDev on complex Houdini SOP geometry and medium OpenVDB caches exceeding 24GB VRAM without Out-of-Core latency. |
| 2x RTX 4090 Dual Workstation |
~1.95x Speedup |
24GB VRAM / GPU Dual PCIe 4.0 Lanes |
Episodic broadcast VFX, procedural asset turnarounds, and fast sequence animatics with near-perfect 2x bucket scaling. |
| 2x RTX 5090 FX Studio Prime |
~2.50x Speedup |
32GB VRAM / GPU Direct Dual GDDR7 Bus |
High-demand Houdini VFX lookdev, dense packed primitive instances, and live Redshift RenderView / Solaris hdRedshift sessions. |
| 4x RTX 4090 Quad Cluster |
~3.88x Speedup |
24GB VRAM / GPU High In-Core Bandwidth |
Complex multi-pass sequence batches, photorealistic environments, and dense volumetric OpenVDB / Axiom simulation grids. |
| 4x RTX 5090 Heavy Production Node |
~4.95x Speedup |
32GB VRAM / GPU 100% In-Core BVH & Shaders |
Enterprise Solaris USD stage hierarchies, uncompressed native OpenVDB Pyro caches, and multi-tile 8K UDIM networks. |
| 8x RTX 4090 Enterprise Octa |
~7.65x Speedup |
24GB VRAM / GPU Redundant Server Cooling |
4K/8K cinematic sequences, massive animated Alembic point caches, complex hair/fur grooms, and tight broadcast deadlines. |
| 8x RTX 5090 Ultimate Flagship |
~9.85x Speedup |
32GB VRAM / GPU Max In-Core Ceiling: 32GB |
Feature film VFX, massive procedural Solaris USD worlds, uncompressed multi-layer Deep EXRs, and zero-crash deliveries. |
Redshift operates on a replicated GPU memory architecture where scene geometry, packed primitives, volume grids, and acceleration structures are mirrored across each active GPU. Multi-GPU scaling multiplies ray-tracing computational throughput near-linearly without combining physical VRAM. The maximum In-Core scene ceiling is defined by an individual card’s physical capacity—24GB on RTX 4090 or 32GB on RTX 5090.
Forget Raw Compute Benchmarks: Why 32GB VRAM Outweighs Speed in Houdini & Redshift
If we had to isolate a single upgrade that reshapes production cloud rendering on the RTX 5090, it is the expanded 32GB VRAM capacity—far outweighing raw compute clock speed increments. While faster render speeds are highly welcome, raw compute represents merely a linear efficiency curve (compressing a 10-minute frame down to 7 minutes). VRAM, by contrast, operates as a binary production threshold: a heavy scene either fits into physical memory to render, or it does not. On a 24GB card, that frame triggers severe memory thrashing or crashes outright. On a 32GB node, it completes seamlessly. In deadline-driven production, there is no such thing as “crashing 25% faster.”
Driven by a 33% VRAM expansion (32GB vs. 24GB) and a massive +78% memory bandwidth leap (1.8 TB/s), this generational upgrade completely redefines what is possible in intensive Houdini FX pipelines. High-density OpenVDB pyro volumes, massive point clouds, complex Solaris USD scene stages, and millions of packed primitives that previously threw fatal out-of-memory errors on the RTX 4090 at the 23–24GB mark now render with comfortable In-Core headroom on the RTX 5090.
Redshift is notoriously aggressive with memory allocation during spatial acceleration builds and bucket sampling. Stepping up to 32GB drastically minimizes Out-of-Core (OOC) memory paging to host system RAM—an architectural bottleneck that historically slashes render throughput by 50% to 70% due to PCIe bus saturation. Telemetry data collected across the iRender farm reveals that roughly 15% to 18% of production Houdini VFX jobs pushed against the critical 22–24GB VRAM threshold on RTX 4090 nodes. A portion of these tasks failed outright, while others forced artists and Technical Directors to aggressively decimate point attributes, strip custom simulation channels, downscale 8K UDIM textures, or fragment scenes into complex multi-pass layers. With the dedicated 32GB GDDR7 frame buffer of the RTX 5090, these memory-induced failures and workflow compromises have been decisively eliminated.
The Pre-Render Bottleneck: Why Threadripper™ PRO & 2TB NVMe Storage Are Vital for Houdini Redshift
A common misconception among Houdini visual effects artists and pipeline technical directors is that multi-GPU rendering speed depends exclusively on graphics card horsepower. While NVIDIA RTX 4090 and RTX 5090 GPUs perform the heavy path-tracing calculations, a GPU cannot render what the host workstation has not yet evaluated, compiled, and transferred.
In high-end procedural pipelines, Houdini frames do not begin on the GPU. If your host CPU chokes during single-threaded SOP cooking or your storage drive stalls while streaming multi-gigabyte simulation caches, your multi-card GPU cluster is forced into “starvation mode”—sitting completely idle at 0% compute load while your project deadline slips away.
To achieve continuous 95% to 100% GPU saturation across our multi-card clusters, iRender equips every bare-metal node with enterprise-grade host silicon and ultra-fast local scratch storage:
1. The Host CPU: AMD Ryzen™ Threadripper™ PRO (Up to 4.5 GHz+ Boost & 128 PCIe Lanes)
Before Redshift can cast a single primary ray, Houdini’s procedural engine must evaluate the entire node graph. This pre-rendering phase is heavily constrained by host CPU single-thread frequency:
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SOP Cooking & Solaris USD Stage Flattening: Evaluating non-compiled SOP networks, VEX wrangles, dynamic pack primitives, and flattening complex Solaris (LOPs) USD stages execute primarily on a single CPU core. Threadripper PRO’s blistering 4.5 GHz+ boost clocks slash this evaluation time by up to 70%.
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Rapid Redshift BVH Acceleration Tree Construction: Redshift relies on raw host CPU clock velocity to compile spatial Bounding Volume Hierarchy (BVH) trees for dense geometry, dynamic point instancing, and hair curves before geometry is dispatched to the GPU.
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Zero PCIe Lane Bifurcation: Consumer CPUs only provide 16 to 24 PCIe lanes, choking multi-GPU rigs down to electrical x8 or x4 speeds. AMD Ryzen™ Threadripper™ PRO delivers an unprecedented 128 dedicated PCIe lanes, allowing our servers to drive up to 8x RTX 5090 GPUs on unbifurcated, full-bandwidth physical lanes simultaneously.
2. The Local Scratch Disk: 2TB NVMe PCIe 4.0 SSD (7,000+ MB/s Sequential I/O)
Modern cinematic VFX and episodic simulation sequences demand massive asset streaming throughout every frame of animation:
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Instantaneous
.rstexbinMipmap Hydration: Ingesting dozens of uncompressed 8K UDIM texture sets and.rstexbincaches requires sustained disk read speeds. While mechanical drives (150 MB/s) or shared cloud network arrays (NAS) introduce massive bus wait states, dedicated local NVMe Gen4 drives read at over 7,000 MB/s, streaming texture tiles into memory in milliseconds. -
Uncompressed OpenVDB & Axiom Pyro Caching: High-resolution Houdini Pyro smoke grids, Axiom GPU simulation caches, and dense Alembic sequences frequently span 300GB to 800GB per sequence. Our dedicated 2TB NVMe local partitions provide artists with expansive high-speed scratch space, completely eliminating “Disk Full” aborts and disk I/O bottlenecks during batch processing.
The 3-to-1 Rule of Houdini Redshift GPU Rendering:
A sequence frame does not start on the GPU. Every rendered image passes through three non-GPU preparation gates before a single ray of light is calculated:
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Gate 1 (Storage): The hard drive must stream gigabytes of
.rstexbinmipmaps, OpenVDB simulation grids, and USD asset layers into memory. (Choked by slow network shares → Solved by 2TB Gen4 NVMe @ 7,000 MB/s). -
Gate 2 (Host CPU): A single CPU core must evaluate Houdini SOP networks, unpack USD primitives, and compute procedural deformers. (Choked by low-clock CPUs → Solved by Threadripper PRO 4.5 GHz+ boost).
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Gate 3 (Acceleration Build): The CPU compiles Redshift Bounding Volume Hierarchy (BVH) trees and flushes geometry across the motherboard bus into VRAM. (Choked by bifurcated x4/x8 slots → Solved by 128 dedicated PCIe lanes).
Only when Gates 1, 2, and 3 finish can Gate 4 (Active Redshift Ray Tracing) fire up the GPU’s 21,760 CUDA and RT cores.
Frame Execution Lifecycle
Houdini & Redshift Pipeline
The 4 Stages of a Houdini Redshift Frame: Where Time Is Actually Spent
Hardware RT and CUDA cores cannot calculate rays until local NVMe storage streams the assets and the host CPU compiles the scene hierarchy.
| Frame Stage | Active Hardware Silicon | Operational Workflow & Data Pipeline | GPU Activity State |
|---|---|---|---|
|
Stage 01
Asset & Cache Read |
2TB NVMe PCIe 4.0 SSD ~7,000 MB/s Direct I/O |
8K .rstexbin Mipmaps
→ OpenVDB Pyro / Axiom → USD Asset Layers → Instant Host RAM |
0% IDLE (WAITING) Waiting for disk I/O |
|
Stage 02
SOP Cook & USD Stage |
CPU Single-Core Clock Threadripper PRO (4.5 GHz+) |
SOP Network Cooking
→ Solaris USD Flattening → Packed Primitives → .rs Proxies |
0% IDLE (WAITING) CPU single-thread lock |
|
Stage 03
BVH Compilation |
CPU Multi-Thread + Bus 128 PCIe 5.0 Lanes (~64 GB/s) |
Redshift BVH Trees
→ Direct PCIe x16 Ingestion → 100% In-Core VRAM |
0% IDLE (WAITING) Waiting for PCIe bus transfer |
|
Stage 04
Redshift Ray Tracing |
NVIDIA RTX 5090 (32GB) 21,760 Cores @ ~1.8 TB/s |
Biased RT Bounces
→ Russian Roulette Prune → OptiX AI Denoising → Flush EXR |
100% SATURATION Full Boost Clock Firing |
Core Production Rule // SOP Cooking & USD Flattening Precede Rays
Notice that across Stages 01, 02, and 03, the GPU load is sitting at exactly 0%. In Houdini Redshift pipelines, having a congested network storage drive (stalling Stage 01) or a sluggish CPU (stalling SOP cooking and USD flattening in Stages 02 & 03) will leave your RTX 5090 completely starved. Dedicated 2TB NVMe Gen4 I/O and high-clock AMD Threadripper PRO processors are the only way to blast through the pre-render gates into Stage 04 immediately.
High-Performance Redshift Render Farm: Dedicated Bare-Metal GPU Infrastructure for SideFX Houdini
While SideFX and Maxon outline baseline hardware and operating system specifications for standard software initialization, executing demanding VFX production workloads—such as massive procedural SOP networks, uncompressed OpenVDB pyro grids, dense packed primitives, and multi-layered Solaris USD scene graphs—demands enterprise-grade compute silicon.
iRender’s dedicated bare-metal cloud workstations vastly exceed all official hardware thresholds. Deploying scalable configurations of up to 8x NVIDIA RTX 4090 & RTX 5090 (32GB GDDR7) GPUs, driven by high-clock AMD Ryzen™ Threadripper™ PRO processors and up to 256GB of high-speed host RAM, our infrastructure ensures 100% In-Core memory residency, eliminates crippling PCIe Out-of-Core latency penalties, and delivers near-linear multi-GPU scaling for deadline-critical VFX and feature-film turnarounds.
GPU Cloud Workstation Specifications at a Glance
Dedicated bare-metal render nodes powered by AMD Ryzen™ Threadripper™ PRO and multi-GPU arrays.
| Service Package (GPU Node) | Dedicated Node Hardware Configuration |
|---|---|
|
NVIDIA RTX 4090 Series • 24GB GDDR6X per GPU |
|
| Package 3S 1x RTX 4090 (24GB VRAM) |
AMD Ryzen™ Threadripper™ PRO 3955WX
256GB Host RAM 2TB NVMe PCIe 4.0 SSD |
| Package 4S 2x RTX 4090 (24GB VRAM / GPU) |
AMD Ryzen™ Threadripper™ PRO 3955WX
256GB Host RAM 2TB NVMe PCIe 4.0 SSD |
| Package 5S 4x RTX 4090 (24GB VRAM / GPU) |
AMD Ryzen™ Threadripper™ PRO 5975WX
256GB Host RAM 2TB NVMe PCIe 4.0 SSD |
| Package 9S 8x RTX 4090 (24GB VRAM / GPU) |
AMD Ryzen™ Threadripper™ PRO 5975WX
256GB Host RAM 2TB NVMe PCIe 4.0 SSD |
|
NVIDIA RTX 5090 Series • 32GB GDDR7 per GPU (+33% In-Core Headroom) |
|
| Package 3i 1x RTX 5090 (32GB GDDR7) |
AMD Ryzen™ Threadripper™ PRO 5975WX
256GB Host RAM 2TB NVMe PCIe 4.0 SSD |
| Package 4i 2x RTX 5090 (32GB VRAM / GPU) |
AMD Ryzen™ Threadripper™ PRO 5975WX
256GB Host RAM 2TB NVMe PCIe 4.0 SSD |
| Package 5i 4x RTX 5090 (32GB VRAM / GPU) |
AMD Ryzen™ Threadripper™ PRO 5975WX
256GB Host RAM 2TB NVMe PCIe 4.0 SSD |
| Package 9i 8x RTX 5090 (32GB VRAM / GPU) |
AMD Ryzen™ Threadripper™ PRO 5975WX
256GB Host RAM 2TB NVMe PCIe 4.0 SSD |
As an Infrastructure as a Service model, we provides the flexibility to support many different rendering workflows on one platform. Whether you are scaling complex procedural simulations on a dedicated houdini render farm or optimizing heavy production frames across a high-performance redshift render farm, iRender allows users to select the hardware and environment that best fit their projects, making it an excellent choice for Houdini and Redshift users.
Technical Production FAQ
Q1: How effectively do iRender’s multi-GPU RTX 5090 nodes accelerate Redshift rendering in Houdini?
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Redshift scales near-linearly across multiple GPUs inside Houdini, whether invoked via traditional
/outROPs or as a Solaris Hydra Render Delegate. Scaling from a single GPU to an 8× RTX 5090 bare-metal node reduces complex FX sequence render times up to 8x. Because iRender bills based strictly on flat server runtime per second rather than imposing per-frame SaaS penalty fees, batch processing heavy Houdini shots across multi-GPU instances delivers finished deliverables exponentially faster while keeping total computing costs equivalent to single-GPU workflows.
Q2: How does the RTX 5090’s 32GB VRAM eliminate Redshift Out-of-Core (OOC) slowdowns on heavy Houdini simulations?
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Complex Houdini FX shots containing high-resolution OpenVDB smoke grids, tens of millions of FLIP particles, and dense packed primitive geometry frequently breach legacy 24GB VRAM limits. Exceeding physical VRAM forces Redshift into Out-of-Core (OOC) memory swapping over the PCIe bus, causing severe 50% to 70% render slowdowns or fatal CUDA memory crashes. The RTX 5090’s 32GB GDDR7 VRAM pool (+33% headroom) backed by 256GB of system RAM ensures massive simulation caches and Redshift Proxy (
.rs) sequences remain 100% VRAM-resident for unthrottled ray-tracing throughput.
Q3: How does licensing work for Houdini and Redshift on iRender?
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You retain complete administrative authority over software licensing through flexible production setups:
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Maxon Redshift: For Prime tier accounts, iRender provides ready-to-use, pre-activated official Redshift licenses directly on the cloud nodes. Alternatively, you can sign into your personal Maxon App or link to your studio’s internal RLM license server.
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SideFX Houdini: Utilize the standard SideFX License Administrator to log into your SideFX account (BYOL) for Houdini FX, Core, or Engine seats. Enterprise studios can securely connect remote instances back to their central on-premises
sesinetdfloating license server over an encrypted VPN tunnel.
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Q4: Can I execute headless batch renders using hython, redshiftCmdLine, or integrate with PDG/TOPs and Deadline?
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Yes. Dedicated bare-metal instances with full Administrator (root) privileges provide total CLI flexibility. You can trigger batch processing via
.batscripts or PowerShell using nativehythoncommands or invokeredshiftCmdLinedirectly from exported scene archives. This completely bypasses the Houdini graphical interface, dedicating 100% of CPU cores and GPU memory strictly to frame computation. You can also evaluate local PDG/TOPs networks to automate dependency tasks or connect an on-node Thinkbox Deadline Worker back to your studio repository.
Q5: How do I manage $HOUDINI_PATH, custom HDAs, Redshift JSON packages, and OCIO ACES workflows?
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Unlike automated SaaS farms that constrain projects to generic configurations, iRender guarantees 100% pipeline fidelity. With unrestricted OS access, you can deploy custom environment variables (
$HOUDINI_PATH,$HSITE,$JOB), register the Redshift module via modular JSON package definitions in the Houdinipackagesdirectory, load studio-proprietary HDAs (Houdini Digital Assets), and configure studio-standard OpenColorIO (OCIO) ACES profiles identically to your local studio pipeline.
Q6: Do I need client software to access the server, and how fluid is remote Redshift IPR look-development via WebRTC?
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You are not required to install any client software on your local machine. iRender provides instant, low-latency remote desktop streaming powered by WebRTC:
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Zero-Install Web Browser Streaming: Launch your dedicated RTX 5090 instance immediately inside modern web browsers (Chrome, Edge, Safari) across Windows, macOS, Linux, or iPadOS. WebRTC streams encrypted video with sub-30ms latency at 60fps, effortlessly bypassing strict corporate IT firewalls that block standard RDP ports (3389).
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Interactive Look-Development: Manipulate complex Redshift shader networks, adjust lighting rigs, and evaluate live Redshift RenderView / Solaris viewport feedback in real time with zero perceptible input lag.
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Native Parsec and standard Windows RDP options remain fully accessible for multi-display workflows and pen-tablet pressure passthrough.
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Q7: How fast is asset transfer for multi-gigabyte simulation caches (.bgeo.sc, OpenVDB, .rs), and is storage billed?
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All data transfer (upload/download) and cloud storage on iRender are 100% free of charge:
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High-Speed Multi-Threaded Sync via iRender Drive: Our desktop application utilizes multi-threaded transfer pipelines that fully saturate your available local bandwidth without throttling or browser upload caps. Multi-gigabyte
.bgeo.scpoint clouds, OpenVDB volumetric sequences, and baked.rsproxy files sync in minutes. -
Zero Billable Idle Time: Transfer your entire simulation cache library ahead of time without initiating server rental, incurring zero billing runtime during upload.
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Direct Local PCIe Gen4/Gen5 NVMe Access: Once your server boots, assets execute directly from enterprise NVMe SSD arrays running at over 7,000 MB/s, eliminating disk read bottlenecks when Redshift streams heavy voxel grids into VRAM during frame compilation.
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What Else Do You Get with iRender’s IaaS Render Farm?
1. Render farm deeply supported for Redshift
At iRender, we are proud to be the render farm with configuration and long time support for Redshift. You can get advice from our support staff for more information about Redshift workflow and installation.
2. Deeper discount with Rental Plan
You will be charged on a per-minute basis. Depending on the type of server you choose, we will issue you an invoice once you shut down the servers, so that you will control your balance easily.
The hourly rental option is always available for you to choose from. However, you can always save 10% with our Rental Plan feature. For those who’re in need of a server for more than a day, or have an extremely large project, we advise choosing a daily/weekly/monthly rental package. The discount is attractive (10%).
We accept payment through Onepay, bank transfer, or credit card. And of course, we provide promotions for customers on special occasions. Stay connected with us to keep updating these programs.
3. Real human support from 6:00 to 24:00
Users can access to our online platform and using multiple nodes to render at the same time. Hence, with us, it does not matter where you are present – as long as you are connected to the internet, you can access and enjoy the 24/7 rendering services that we provide, and if you meet any issue, our real human support team is always ready to support you from 6:00 to 24:00 (GMT +7).
4. Easy to use and simple process
What you need to do is just 5 simple steps including:
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- Create an iRender account
- Recharge money
- Transfer your files to the remote server
- Select a package and connect to the server
- Take full control of our server and do whatever you want on it
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We ensure to provide you the easy-to-use interesting and effective solutions. With just one or two clicks to create an image, and 3 to 10 minutes to boot the system for the first time, you will use the servers (GPUs & CPUs) like your own PC. Additionally, you just need to set up your working environment once and save it as Images to keep it for life.
iRender has released a desktop app called iRender GPU App. It will contain almost all the features, help you to recharge your account, transfer files and connect to the remote servers/machines on your own local PC without having to come to the iRender website.
The following section will help you know how to install iRender GPU and use it.
- Download and install the app on your local PC.
- Register/login the app by your iRender account and follow this instruction to use it.
Watch this video tutorial on how to use iRender GPU app:
With the above advantages and the machine configuration package that iRender are offering, we believe that Houdini and Redshift users will have the most comfortable, quickest, and most effective rendering time.
Register an account on iRender to claim your 100% bonus for the first deposit and render without limitations.
iRender – Your Renders, Your Rules!
We Focus On People And The Joy Of Creation.
“iRENDER RENDER FARM – YOUR RENDERS, YOUR RULES”
Pricing
Compare our server performance and price with major companies such as GPU Instances from AWS, GPU Instances from Google, Azure from Microsoft and GPU servers from small competitors. You’ll be surprised!
You can install all software you want on our remote server
GPU Cloud Workstation 3S
1xRTX 4090, 24GB vRAM- Pay per 3 hours and more (Save 10%)
- Only : $7.38 node/hour
- SINGLE CARD
- 1xRTX 4090, 24GB vRAM
- NVLink™ : N/A
- NVIDIA CUDA® Cores: 16.384
- GPU Architecture: NVIDIA Ada Lovelace
- AMD Ryzen™ Threadripper™ PRO 3955WX @ 3.9 - 4.2GHz
- RAM: 256 GB
- Storage (NVMe SSD): 2TB
- OS: Windows, Ubuntu
- Power Elite Support 24/07
- iRender Data Center: Uptime Tier III, ISO 27001 (BS7799), ISO 20000 (ITIL) and ISO 9001: 2000.No Sharing. No Compromise. Absolute Protection.
- The Difference: ✕ SaaS farm: Upload → wait → hope it works → re-upload if it doesn't ✓ iRender: Connect → work like your own PC → render → disconnect
- (*)Optimize for (Lumion, KeyShot, Twinmotion, UE5, Enscape, D5 Render etc.) Single-GPU Rendering Tasks.
- For newly registered customers 100% bonus first charge within 24h
GPU Cloud Workstation 4S
2xRTX 4090, 24GB vRAM- Pay per 3 hours and more (Save 10%)
- Only : $13.5 node/hour
- MULTI GPU
- 2xRTX 4090, 24 GB vRAM
- NVLink™ : N/A
- NVIDIA CUDA® Cores: 2 x 16.384
- GPU Architecture: NVIDIA Ada Lovelace
- AMD Ryzen™ Threadripper™ PRO 3955WX @ 3.9 - 4.2GHz
- RAM: 256 GB
- Storage (NVMe SSD): 2TB
- OS: Windows, Ubuntu
- Power Elite Support 24/07
- iRender Data Center: Uptime Tier III, ISO 27001 (BS7799), ISO 20000 (ITIL) and ISO 9001: 2000.No Sharing. No Compromise. Absolute Protection.
- The Difference: ✕ SaaS farm: Upload → wait → hope it works → re-upload if it doesn't ✓ iRender: Connect → work like your own PC → render → disconnect
- (*)Optimize for (Redshift, Octane, Blender, V-Ray Next, Maxwell etc.) Multi-GPU Rendering Tasks.
- For newly registered customers 100% bonus first charge within 24h
GPU Cloud Workstation 5S
4xRTX 4090, 24GB vRAM- Pay per 3 hours and more (Save 10%)
- Only : $27 node/hour
- MULTI GPU
- 4xRTX 4090, 24 GB vRAM
- NVLink™ : N/A
- NVIDIA CUDA® Cores: 4 x 16.384
- GPU Architecture: NVIDIA Ada Lovelace
- AMD Ryzen™ Threadripper™ PRO 5975WX @ 3.6 - 4.5GHz
- RAM: 256 GB
- Storage (NVMe SSD): 2TB
- OS: Windows, Ubuntu
- Power Elite Support 24/07
- iRender Data Center: Uptime Tier III, ISO 27001 (BS7799), ISO 20000 (ITIL) and ISO 9001: 2000.No Sharing. No Compromise. Absolute Protection.
- The Difference: ✕ SaaS farm: Upload → wait → hope it works → re-upload if it doesn't ✓ iRender: Connect → work like your own PC → render → disconnect
- (*)Optimize for (Redshift, Octane, Blender, V-Ray Next, Iray, Maxwell etc.) Multi-GPU Rendering Tasks.
- For newly registered customers 100% bonus first charge within 24h
GPU Cloud Workstation 9S
8xRTX 4090, 24GB vRAM- Pay per 3 hours and more (Save 10%)
- Only : $46.8 node/hour
- MULTI GPU
- 8xRTX 4090, 24 GB vRAM
- NVLink™ : N/A
- NVIDIA CUDA® Cores: 8 x 16.384
- GPU Architecture: NVIDIA Ada Lovelace
- AMD Ryzen™ Threadripper™ PRO 5975WX @ 3.6 - 4.5GHz
- RAM: 256 GB
- Storage (NVMe SSD): 2TB
- OS: Windows, Ubuntu
- Power Elite Support 24/07
- iRender Data Center: Uptime Tier III, ISO 27001 (BS7799), ISO 20000 (ITIL) and ISO 9001: 2000.No Sharing. No Compromise. Absolute Protection.
- The Difference: ✕ SaaS farm: Upload → wait → hope it works → re-upload if it doesn't ✓ iRender: Connect → work like your own PC → render → disconnect
- (*)Optimize for (Redshift, Octane, Blender, V-Ray Next, Iray, Maxwell etc.) Multi-GPU Rendering Tasks.
- For newly registered customers 100% bonus first charge within 24h
"We all know that talent is never enough but devotion is the only way to success"
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