Powerful Blender Cloud Render Farm
We Concentrate On People and The Joy Of Creation.
Optimize for Blender Multi-GPU Rendering Tasks on the Cloud.
GPU-Accelerated Cloud Render Farm for Blender
iRender is a premium GPU-accelerated Blender Render Farm, tailored for high-performance multi-GPU rendering. By offering on-demand IaaS (Infrastructure as a Service) servers equipped with top-tier AMD Ryzen Threadripper Pro CPUs and up to 8x RTX 4090/5090 GPUs, we empower you with a highly scalable infrastructure built for speed. Partner with iRender today: “Maximum Speed – Absolute Freedom.”
Powerful Blender Render Farm Service.
iRender: Blender Render Farm – GPU Nodes: 2/4/6/8x RTX 4090/5090.
Full native & third-party support for all Blender Render Engines: Cycles, Eevee Next, OctaneRender, Redshift, V-Ray, LuxCoreRender, K-Cycles, and custom studio pipelines.
Enterprise-Grade Production Powerhouse: Blender & Cycles GPU Architecture
Blender is the world’s leading open-source 3D creation suite, delivering a complete, production-proven pipeline across modeling, sculpting, procedural Geometry Nodes, complex simulation, and multi-pass compositing. Widely deployed across commercial advertising, episodic series, architectural visualization, and feature animation, Blender combines lightweight architectural agility with deep enterprise flexibility. Backed by direct development support from NVIDIA, AMD, Intel, and Epic Games, Blender guarantees early silicon-level optimization, seamless USD/Alembic interchange, and limitless automation via its native Python API.
Powering Blender’s photorealistic output is Cycles—its native, physically based path-tracing engine. Re-engineered under the modernized Cycles X architecture, Cycles leverages hardware-accelerated NVIDIA OptiX ray tracing, adaptive sampling, and path guiding to calculate intricate global illumination, subsurface scattering, and volumetric densities with exceptional mathematical efficiency. Designed from the silicon up for parallel compute, Cycles delivers near-linear multi-GPU scaling, turning bare-metal GPU clusters into unrelenting frame-rendering powerhouses.
Key Architectural Strengths in Production:
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Zero Licensing Overhead & Absolute Version Parity: Open-source licensing eliminates per-node fees and license server handshakes. Studios can scale render capacity across multi-GPU nodes while locking exact production builds and minor patches without license restrictions.
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Ultra-Lean Standalone Footprint: With a lightweight core binary under 400MB, Blender deploys as a standalone, zero-registry application. This allows rapid provisioning, instant asset loading, and frictionless multi-node farm execution.
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NVIDIA OptiX Hardware Acceleration: Cycles communicates directly with NVIDIA’s OptiX API, offloading bounding-box (BVH) traversals and ray-triangle hit tests to physical RT Cores, maximizing raw path-tracing speed.
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Unrestricted Addon & Pipeline Freedom: Full bare-metal environment access allows studios to deploy custom python tooling alongside industry-standard add-ons—including Geo-Scatter, FLIP Fluids, Sanctus Library, and custom batch CLI automation flags.
Inside the Cycles Kernel: Hardware Execution & Wavefront Ray Dispatch Dynamics
Maximizing throughput in Blender Cycles requires aligning its physically based path-tracing architecture with dedicated compute silicon. Re-engineered under the modernized Cycles X wavefront framework, the kernel decomposes the path-tracing pipeline into discrete execution stages—sorting and grouping active rays by surface shader type to eliminate warp divergence across CUDA Streaming Multiprocessors (SMs), while offloading spatial bounding-volume hierarchy (BVH) traversals directly to dedicated hardware RT Cores via NVIDIA OptiX. From variance-driven adaptive sampling to integrated path guiding, Cycles resolves intricate multi-bounce global illumination, complex BSDF node networks, and dense volumetric participating media with exceptional computational precision.
Deploying Blender Cycles on dedicated bare-metal GPU nodes eliminates the virtualization overhead, CPU thread throttling, and hypervisor interrupts inherent to shared multi-tenant clouds. Massive physical VRAM allocations—featuring up to 32GB GDDR7 on dedicated RTX 5090 servers—keep heavy procedural Geometry Nodes instances, high-resolution subdivision displacement, and uncompressed simulation caches strictly In-Core. This completely bypasses PCIe bus saturation, prevents costly Out-of-Core swapping penalties, and guarantees zero memory-crash aborts on mission-critical production deadlines.
Blender Cycles: Physically Based Wavefront Path Tracing Pipeline
Hardware execution dynamics, OptiX RT Core BVH acceleration, and Wavefront shader dispatch.
| Pipeline Stage | Execution Flow & Ray Scheduling | Hardware Allocation & Profile |
|---|---|---|
| 1. Camera & BVH Hardware Ray Intersection |
Primary Ray Dispatch
→ Hardware RT Cores (OptiX) → Surface Hit Point |
Dedicated RT Silicon Saturation Offloads spatial BVH traversal and ray-primitive intersections directly to dedicated RT Cores via NVIDIA OptiX, bypassing general-purpose compute cores. |
| 2. Wavefront Shading Ray Queue Sorting |
Shader State Compaction
→ CUDA Streaming Multiprocessors → Principled BSDF & SSS |
Warp Divergence Elimination Cycles X groups active rays by material closure, maximizing SIMD efficiency across CUDA SMs when evaluating complex node trees and subsurface scattering. |
| 3. Secondary Bounces Guiding & Adaptive Sampling |
Path Guiding (Open PGL)
→ Hardware RT Re-Traversal → Russian Roulette Pruning |
Algorithmic Noise Reduction Directs indirect light paths toward critical illumination sources while pruning low-energy bounces, reducing noise in difficult interior and caustic scenarios. |
| 4. Memory Residency 100% In-Core VRAM |
Geometry Nodes & VDBs
→ 32GB GDDR7 per GPU → Zero PCIe Bus Paging |
Hardware Memory Interlock Keeps dense polygonal meshes, subdivision surfaces, and uncompressed simulation caches fully resident in VRAM, preventing catastrophic CUDA driver crashes. |
| 5. AI Denoising & Output Reconstruction & AOVs |
Sample Accumulation
→ Tensor Cores (OptiX / OIDN) → 32-bit Multi-Layer EXR |
Tensor-Accelerated Reconstruction Deep learning models infer noise patterns on Tensor Cores, outputting clean beauty passes alongside complete Cryptomatte and AOV multi-pass data. |
Why Choose IaaS Over SaaS for Blender Multi-GPU Pipelines
Why iRender is Purpose-Built as a Dedicated Blender Render Farm for Cycles
Operating as a high-performance Bare-Metal IaaS platform, iRender delivers an uncompromised cloud workstation environment engineered specifically to match the architectural demands of Blender and the Cycles X path-tracing engine through four critical advantages:
- Linear Multi-GPU Scaling (Up to 8x RTX 4090 & RTX 5090):
Modern GPU path-tracing engines like Blender Cycles scale near-linearly across multiple graphics cards. iRender maximizes this efficiency by deploying dedicated bare-metal servers equipped with up to 8x RTX 4090 or RTX 5090 GPUs on a single enterprise motherboard. By distributing progressive sample passes and ray queries over dedicated, unvirtualized physical PCIe lanes, multi-GPU nodes slash per-frame render times dramatically compared to standard single-card setups. - Eliminating VRAM Spikes & Out-of-Core Latency:
Heavy Blender scenes loaded with dense procedural Geometry Nodes, high-res subdivision displacement, 8K UDIM textures, and uncompressed simulation caches easily saturate standard 24GB limits. iRender solves this by offering next-gen RTX 5090 nodes with 32GB GDDR7 physical VRAM (+33% In-Core headroom) and 1.8 TB/s memory bandwidth, backed by 256GB of high-speed host RAM and AMD Ryzen™ Threadripper™ PRO processors. Heavy production scenes remain resident entirely within fast GPU silicon, eliminating the 50% to 70% speed collapse caused by PCIe Out-of-Core swapping. - 100% Pipeline Sovereignty & Custom Add-on Ecosystem:
Studio pipelines depend heavily on specific Blender builds (including LTS variants and daily experimental branches), proprietary Python scripts, and specialized add-ons (such as Geo-Scatter, FLIP Fluids, and Sanctus Library). While traditional SaaS farms restrict artists to rigid, pre-packaged software lists, iRender grants full administrative Remote Desktop access with complete environment sovereignty:- Pre-Configured Environments: Instantly boot optimized system images with verified Blender and NVIDIA driver stacks pre-installed, allowing you to attach your licenses and start rendering immediately.
- Custom Blank Images for Ultimate Control: For studios requiring a tailored setup, build your entire pipeline from a pristine clean slate. Your configurations, add-ons, and working data are permanently saved to personalized system images, completely reusable across future sessions with zero repetitive setup overhead.
- Interactive LookDev & Real-Time Error Auditing:
Traditional SaaS farms operate as an opaque “black box” where missing textures, broken packed libraries, and simulation cache drops are only discovered after waiting in long render queues. With iRender, artists control the physical desktop GUI directly. Open your scene natively inside Blender, audit asset dependencies via External Data tools, evaluate lighting fluidly in Eevee Next, and launch real-time Cycles Rendered Viewport with multi-GPU acceleration to diagnose and patch errors before triggering deadline-critical sequence batches.
Blender Cycles VRAM Architecture: In-Core Residency vs. Out-of-Core Paging
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While modern NVIDIA OptiX drivers provide fallback paging to system RAM, operating 100% In-Core is imperative for sustaining peak path-tracing throughput in Blender Cycles. Evaluating spatial BVH acceleration structures, micro-polygon adaptive subdivision dicing, and random-walk subsurface scattering requires continuous, low-latency memory access. When a scene exceeds physical VRAM, memory spillover forces aggressive PCIe bus thrashing to host RAM—slashing rendering throughput by 50% to 70% and risking catastrophic
CUDA_ERROR_OUT_OF_MEMORYaborts. The expanded 32GB GDDR7 frame buffer on our dedicated RTX 5090 nodes eliminates PCIe bus bottlenecks entirely—locking dense procedural Geometry Nodes assemblies, uncompressed OpenVDB volume grids, and multi-tile 8K UDIM arrays fully resident within high-speed 1.8 TB/s on-chip silicon.
Blender Cycles: VRAM Allocation & In-Core Memory Benchmark
Analyzing memory residency, OptiX Out-of-Core latency, and CUDA stability across production scene loads.
| Scene Workload Vector | 24GB Baseline (RTX 4090) | 32GB Baseline (RTX 5090) | Pipeline Impact |
|---|---|---|---|
| High-Resolution Textures 8K / 16K UDIM Image Sets |
Forced Out-of-Core Paging Texture buffers overflow 24GB VRAM, swapping to host RAM. Continuous PCIe bus contention stalls OptiX ray dispatch, inducing 40%–60% render slowdowns. |
100% In-Core GDDR7 Residency Dozens of uncompressed 8K UDIM texture tiles fit entirely on-card; saturates 1.8 TB/s memory bandwidth with near-instantaneous texture lookup. |
Eliminates pinned host memory bottlenecks and texture thrashing during shader lookups. |
| Geometry & Micro-Displacement Adaptive Subdivision & Hair BVH |
Fatal CUDA Crash Risk Dense adaptive subdivision dicing and complex Geometry Nodes exceeding 24GB trigger severe driver timeouts or catastrophic CUDA_ERROR_OUT_OF_MEMORY aborts. |
100% In-Core Acceleration Accommodates millions of hair curves and micro-polygon displacement trees directly within on-chip silicon without triggering memory boundary alerts. |
Guarantees rock-solid stability during fine adaptive subdivision dicing and complex BVH builds. |
| Production Workloads 22GB – 28GB Memory Footprint |
Out-of-Core Swapping Active Exceeds 24GB boundary; pages excess data to host RAM, causing a 25%–50% collapse in Cycles X path-tracing compute throughput. |
100% In-Core Execution The entire scene, geometry BVH trees, volume grids, and frame buffers remain resident in physical VRAM; zero PCIe bus thrashing. |
Preserves uncompromised silicon performance on complex commercial animations and VFX shots. |
| Extreme VFX Datasets > 32GB Massive USD / OpenVDB |
Watchdog Timeout (TDR) Risk Heavy PCIe bus contention trips the GPU driver watchdog timer (TDR), crippling render performance by 50% to 70% or causing hard crashes. |
High-Speed Swapping Cushion 32GB buffer keeps 8GB more critical assets on-card; ultra-fast 1.8 TB/s GDDR7 bus streams swapped pages substantially faster with minimal overhead. |
Provides maximum stability headroom for massive OpenVDB smoke/fire grids and city-scale environments. |
Dedicated Blender Render Farm: Multi-GPU Production Benchmarks for Cycles (RTX 4090 vs. RTX 5090)
- Because Blender Cycles operates on a modernized Cycles X wavefront architecture that distributes progressive sample passes across independent GPUs with near-zero communication overhead, scaling across multiple physical 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 next-gen OptiX ray-tracing throughput with an expanded 32GB GDDR7 frame buffer per GPU to guarantee 100% In-Core stability under aggressive production deadlines.
Blender Cycles Multi-GPU Scaling Matrix: RTX 4090 vs. RTX 5090
Comparing raw Blender Benchmark (OptiX) throughput, VRAM architecture, and production workload tiers.
| GPU Setup | Blender Benchmark & Visual Scaling | VRAM Allocation | Target Production Pipeline |
|---|---|---|---|
| 1x RTX 4090 Baseline Node |
1.0x (~13,000 pts) |
24GB GDDR6X Standard Frame Buffer |
Initial scene blockout, basic shader tree assembly, and single-card LookDev testing. |
| 1x RTX 5090 Next-Gen Single |
~1.30x (~17,000 pts) |
32GB GDDR7 +33% VRAM Headroom |
LookDev on dense Geometry Nodes setups and high-poly sculpting without Out-of-Core latency. |
| 2x RTX 4090 Dual Workstation |
~1.95x (~25,400 pts) |
24GB VRAM / GPU Dual PCIe 4.0 Lanes |
Commercial 3D motion design, broadcast animations, and fast multi-pass EXR lookdev. |
| 2x RTX 5090 Cycles Studio Ideal |
~2.55x (~33,500 pts) |
32GB VRAM / GPU Direct Dual GDDR7 Bus |
Heavy architectural interiors, complex motion design, and high-detail micro-displacement. |
| 4x RTX 4090 Quad Cluster |
~3.88x (~50,500 pts) |
24GB VRAM / GPU High In-Core Bandwidth |
Dense Geo-Scatter environments, medium-scale FLIP Fluids simulations, and multi-pass sequences. |
| 4x RTX 5090 Heavy Production Node |
~5.05x (~66,000 pts) |
32GB VRAM / GPU 100% In-Core BVH Trees |
Dense forest vegetation scattering, uncompressed OpenVDB smoke grids, and heavy caustics caches. |
| 8x RTX 4090 Enterprise Octa |
~7.60x (~99,000 pts) |
24GB VRAM / GPU Dedicated Server Cooling |
Cinematic feature animation sequences, virtual production arrays, and studio-grade batch queues. |
| 8x RTX 5090 Ultimate Flagship |
~9.90x (~129,000+ pts) |
32GB VRAM / GPU Max In-Core Ceiling: 32GB |
Feature film VFX, uncompressed 32-bit multi-layer EXRs, and zero-crash mission-critical deliveries. |
Blender Cycles operates on a replicated memory architecture where scene assets, BVH trees, and texture maps are duplicated across each GPU’s physical frame buffer. Multi-GPU scaling multiplies path-tracing compute throughput near-linearly without expanding the maximum scene size beyond the dedicated 24GB (RTX 4090) or 32GB (RTX 5090) physical VRAM ceiling per card.
Unlocking Cycles X Throughput: Why Threadripper™ PRO & 2TB NVMe SSD Are Vital for Blender
A common misconception in the open-source 3D and animation community is that accelerating Blender Cycles depends exclusively on upgrading your graphics card. While NVIDIA RTX 4090 and RTX 5090 GPUs crunch the heavy mathematical ray intersections and OptiX AI denoising, a GPU cannot render what the host system has not yet evaluated, compiled, and transferred.
If your host CPU chokes during Blender’s dependency graph evaluation or your storage drive stalls while reading multi-gigabyte simulation caches, your multi-card GPU array is forced into “starvation mode”—sitting completely idle at 0% compute load while your production deadline ticks 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 Cycles X can cast a single primary ray, Blender’s core engine must evaluate the entire .blend scene file. This Scene Preparation Phase is fundamentally linear and single-threaded:
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Dependency Graph & Geometry Nodes Evaluation: Blender’s Dependency Graph (Depsgraph), complex Geometry Nodes modifier graphs, procedural curve extrusions, and armature deformers execute primarily on host CPU cores. Threadripper PRO’s high single-core boost clock (4.5 GHz+) slashes this extraction phase by up to 70%.
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OptiX BVH Acceleration Tree Construction: Cycles relies on raw single-thread CPU velocity to compile the spatial Bounding Volume Hierarchy (BVH) that maps dense polygonal geometry, hair grooming curves, and subdivision surfaces in 3D space 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 visual effects and commercial animation sequences demand massive asset streaming throughout every frame of animation:
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Instantaneous Texture & UDIM Ingestion: Ingesting dozens of uncompressed 8K/16K ACES texture maps, multi-tile UDIM arrays, and heavy 32-bit HDRI environments requires sustained disk read throughput. 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 assets into RAM in milliseconds.
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Uncompressed OpenVDB & Simulation Caching: High-resolution FLIP Fluids, native MantaFlow smoke/fire simulations, and animated Alembic/USD geometry sequences frequently span 300GB to 800GB per project. 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 Cycles X 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 uncompressed textures, OpenVDB volumetric grids, and Alembic point caches into memory. (Choked by slow network shares → Solved by 2TB Gen4 NVMe @ 7,000 MB/s).
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Gate 2 (Host CPU): A single CPU core must evaluate Blender’s Depsgraph, calculate Geometry Nodes instance arrays, and compute modifier deformations. (Choked by low-clock CPUs → Solved by Threadripper PRO 4.5 GHz+ boost).
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Gate 3 (Acceleration Build): The CPU compiles OptiX 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 Cycles X Ray Tracing) fire up the GPU’s 21,760 CUDA and OptiX cores.
Frame Execution Lifecycle
Blender Cycles X Pipeline
The 4 Stages of a Cycles Render Frame: Where Time Is Actually Spent
Hardware RT and CUDA cores cannot calculate light paths 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 Streaming |
2TB NVMe PCIe 4.0 SSD ~7,000 MB/s Direct I/O |
8K/16K UDIM Sets
→ FLIP / MantaFlow VDBs → Alembic / USD → Instant Host RAM |
0% IDLE (WAITING) Waiting for disk I/O |
|
Stage 02
Scene Evaluation |
CPU Single-Core Clock Threadripper PRO (4.5 GHz+) |
Blender Depsgraph
→ Geometry Nodes Stack → Geo-Scatter Arrays → Armatures |
0% IDLE (WAITING) CPU single-thread lock |
|
Stage 03
OptiX BVH & Geometry |
CPU Multi-Thread + Bus 128 PCIe 5.0 Lanes (~64 GB/s) |
OptiX BVH Construction
→ Direct PCIe x16 Ingestion → 100% In-Core VRAM |
0% IDLE (WAITING) Waiting for bus & BVH load |
|
Stage 04
Cycles X Wavefront |
NVIDIA RTX 5090 (32GB) 21,760 Cores @ ~1.8 TB/s |
Ray-Primitive Intersects
→ Wavefront Shading → OptiX AI Denoising → Flush EXR |
100% SATURATION OptiX & CUDA Cores Maxed |
Core Production Rule // Geometry Must Precede Ray Tracing
Notice that across Stages 01, 02, and 03, the GPU load is sitting at exactly 0%. If your Blender project resides on a slow network share (stalling Stage 01) or runs on a low-frequency server CPU (stalling Stages 02 & 03), your RTX 5090 will spend most of its time waiting. 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 Blender Render Farm: Dedicated Bare-Metal GPU Infrastructure for Cycles
While the Blender Foundation outlines the baseline hardware and OS prerequisites for standard operation, executing deadline-critical VFX simulations, dense Geometry Nodes arrays, and multi-bounce Cycles path tracing demands enterprise-grade compute silicon.
iRender’s dedicated bare-metal cloud workstations far surpass all official recommended specifications—pairing up to 8x NVIDIA RTX 4090 / RTX 5090 (32GB GDDR7) GPUs with AMD Ryzen™ Threadripper™ PRO processors and 256GB high-speed RAM to unleash the unthrottled parallel horsepower of Blender’s rendering pipeline.
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 |
|---|---|
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NVIDIA RTX 4090 Series • 24GB GDDR6X per GPU |
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| 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 |
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NVIDIA RTX 5090 Series • 32GB GDDR7 per GPU (+33% In-Core Headroom) |
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| 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 |
Technical Production FAQ
Q1: How efficiently does Blender Cycles scale across multi-GPU (2x, 4x, 8x RTX 5090) setups?
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Blender Cycles scales near-linearly across multiple GPUs using the NVIDIA OptiX backend. On iRender’s bare-metal clusters, an 8× RTX 5090 instance computes path-traced samples up to 8x faster than a high-end single-GPU workstation. Because iRender bills by dedicated machine runtime per second rather than charging per-frame SaaS license fees, rendering an animation sequence across an 8-GPU node finishes in a fraction of the time while maintaining virtually identical overall project computing costs compared to long, single-GPU local jobs.
Q2: How does iRender prevent CUDA/OptiX “Out of Memory” crashes on heavy Geometry Nodes and micro-displacement scenes?
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Blender immediately aborts GPU rendering with fatal
CUDA_ERROR_OUT_OF_MEMORYexceptions when scene geometry, multi-tile 8K UDIM textures, and volumetric volumes exceed physical VRAM. iRender eliminates this bottleneck with dedicated nodes featuring NVIDIA RTX 5090 GPUs equipped with 32GB of GDDR7 VRAM backed by 256GB of system RAM. This massive hardware pool comfortably accommodates dense procedural scattering from Geometry Nodes, heavy Adaptive Subdivision (micro-displacement), and high-resolution smoke domains natively on the GPU without triggering system crashes.
Q3: Can I run custom Python add-ons, commercial plugins (Geo-Scatter, FLIP Fluids, Botaniq), and proprietary scripts?
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Yes, with 100% compatibility. Automated SaaS farms often fail because their restricted containers cannot run custom third-party plugins. Operating as a pure Bare-Metal IaaS platform, iRender gives you full Administrator (root) privileges. You can install any official or experimental Blender build (including daily Alpha/Beta branches), activate commercial add-ons (such as Geo-Scatter, FLIP Fluids, Botaniq, Hard Ops, Auto-Rig Pro), and compile custom Python libraries exactly as you would on your physical workstation.
Q4: Can I launch headless command-line batch renders (blender -b) to maximize processing throughput?
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Yes. Full operating system access allows you to run headless batch execution directly via PowerShell, command prompt, or custom
.batscripts (blender.exe -b scene.blend -s 1 -e 250 -a). Bypassing the graphical user interface (GUI) frees up CPU cores and GPU memory overhead, funneling 100% of physical hardware power strictly toward raw frame computation and accelerated tile output.
Q5: How fluid is remote viewport look-development and IPR shading via WebRTC and Parsec?
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iRender provides ultra-responsive, real-time desktop interactivity tailored for interactive Cycles viewport lookdev through two dedicated pathways:
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Zero-Install WebRTC Browser Streaming: Connect instantly to your multi-GPU workstation directly inside Google Chrome, Safari, or Microsoft Edge. WebRTC delivers low-latency (<30ms), hardware-accelerated 60fps streaming, effortlessly bypassing enterprise corporate firewalls without requiring third-party client installations.
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Dedicated Parsec & RDP: Optimized for color-accurate shading work, multi-display workstations, and pressure-sensitive tablet input, allowing you to sculpt, paint weights, and navigate dense scenes in real time.
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Q6: How does iRender ensure relative file paths (//), linked libraries, and external cache assets remain intact?
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Broken relative paths and missing image sequences are the primary causes of pink missing-texture errors on cloud farms. Because iRender provides dedicated virtual and local drives, you do not need to pack everything into massive, bloated
.blendarchives. You can maintain your exact studio folder hierarchy. Complex file setups with linked external collections, raw Alembic streams, and OpenVDB cache folders load natively without path modification.
Q7: How fast is asset transfer for multi-gigabyte cache bakes, and is storage or bandwidth 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 utilize your available local bandwidth without throttling or web-browser file-size limits. Multi-gigabyte scene archives, bake caches, and asset libraries sync in minutes.
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Zero Billable Idle Time: Stage your
.blendfiles and simulation caches on your cloud drive ahead of time without initiating server rental, incurring zero billing runtime during upload. -
Local PCIe Gen4/Gen5 NVMe Execution: Active project files execute directly from on-node enterprise NVMe SSD arrays running at over 7,000 MB/s, guaranteeing zero stutter when Cycles loads massive particle caches into memory during frame initialization.
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What Else Do You Get with iRender’s IaaS Render Farm?
Deeper Discount
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. 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, Visa/ Mastercard. And of course, we sometimes provide promotions for customers on special occasions. Staying connected with us to keep updating these programs.
Simple Process and Easy To Use
What you need to do is just 5 simple steps including: Creating an iRender account, Recharging money, Transferring your files to the remote server, Selecting a package and connecting to the server then finally Taking full control of the server and doing whatever you want.
We ensure that we provide you the easy-to-use interesting and effective solution. With just one or two clicks to create an image, and 7 to 15 minutes to boot the system in the first time, you will use the servers (GPUs & CPUs) like your own PC. Additionally, you just need to set up a working environment once, and save as Images to keep it for life.
With the aim to effectively equip users, reduce the procedure of using application and website at the same time, 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.
Real Human Support
Whether you are an iRender customer, or you are simply interested in our service, iRender has a great number of enthusiastic staff ready to support you daily from 6:00 to 24:00 (GMT+7). We believe the quality of support we provide is as vital as the technology we deliver. We provide unmatched support tailored to your specific needs and goals. iRender cares about the benefits of the users!
Thank You & Your Renders, Your Rules!
“We focus on people and the joy of creation!”
"iRender Farm’s green data center is powered by solar energy, as part of our natural and eco-friendly commitment to a sustainable future."
GPU Render Farm 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
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