QUESTIONS & ANSWERS
Welcome to the iRender FAQ! Here you’ll find quick answers to common questions about our powerful cloud rendering service, built for speed, flexibility, and ease of use.
What is iRender Farm?
- Infrastructure Nature: Instead of selling automated rendering services, iRender provisions raw, high-performance remote servers equipped with 1 to 8x top-tier graphics cards (such as the RTX 4090) attached to a single motherboard.
- Operational Method: Users connect to and control the server via a standard Remote Desktop protocol, working within a familiar visual Windows Server operating system.
- Absolute Privilege: The user retains full administrative control—identical to owning a local machine. You can install any custom software, deploy proprietary plugins, modify scene files in real-time, and execute heavy workloads ranging from 3D rendering and Unreal Engine pipelines to deep learning AI training.
What is an IaaS Render Farm? How does it work and how does it differ from traditional render farms?
1. Core Definition: An IaaS (Infrastructure as a Service) Render Farm provides remote access to raw hardware infrastructure for 3D rendering, VFX, and animation. Instead of offering an automated rendering service, an IaaS provider grants you full control over a high-performance remote computer equipped with powerful CPUs and multiple high-end GPUs via a Remote Desktop connection.
2. How It Works:
- Step 1: Create an account and select your preferred hardware configuration (e.g., a server with 1, 2, 4, or 8 RTX 4090 GPUs).
- Step 2: Connect to the remote server using Remote Desktop software. You will see a clean, empty operating system interface.
- Step 3: Freely install your OS, 3D software (Blender, 3ds Max, Maya, Unreal Engine…), custom plugins, scripts, and fonts.
- Step 4: Upload your project files and trigger the render directly on the remote machine, just like using your local workstation.
3. Key Differences from Traditional Render Farms (SaaS):
- SaaS Render Farm (Traditional Model): You submit your 3D files to their platform, and their automated system processes the job. You have no direct access to or control over the underlying machine.
- IaaS Render Farm (Modern Model): You rent the entire hardware infrastructure. You get full administrator (Admin) privileges to customize the system and manage your own rendering process.
4. Outstanding Advantages of IaaS Render Farms:
- No Compatibility Issues: Seamlessly supports any software version, proprietary tools, or unique plugins since you control the installation.
- Absolute Security: Work takes place within a secure, isolated environment, minimizing data leak risks.
- Versatile Workstation: Beyond rendering, you can utilize the high-performance machine for real-time lookdev, heavy simulations, or Unreal Engine production.
5. Summary:
You can install any software, customize the environment, and manage your workflow entirely, making it ideal for large projects or projects with a unique pipeline.
Why iRender's IaaS (GPU Cloud Workstation) Outperforms Traditional SaaS Render Farm?
1. Seamless Integration with Complex Studio Pipelines
- Traditional SaaS: These platforms operate as isolated black boxes, making them incompatible with customized studio environments. Studios must manually decouple assets from their internal pipelines to fit the standard SaaS upload requirements, which increases management overhead.
- iRender (IaaS): Acts as a natural extension of a studio’s on-premise infrastructure. Technical Directors can easily mount custom pipeline tools, deploy internal asset management software, and map network drives. This allows the cloud servers to seamlessly sync with existing pipeline architectures.
2. Optimized for Massive, High-Volume Large-Scale Projects
- Traditional SaaS: Massive scenes with hundreds of gigabytes of cached data, intricate geometry, and heavy uncompressed textures frequently cause automated SaaS dispatchers to crash or trigger node synchronization failures.
- iRender (IaaS): Purpose-built for enterprise-level workloads. Since the project assets reside entirely on a single, ultra-fast local NVMe drive attached to a dedicated multi-GPU setup, it eliminates asset distribution delays. The system handles massive scene files and heavy geometry processing without any performance bottlenecks.
3. Absolute Control and Software Flexibility
- Traditional SaaS: Users are restricted to the pre-installed software versions and plugins provided by the platform. Custom scripts, proprietary plugins, or specialized software variations are generally unsupported.
- iRender (IaaS): Users are provisioned with a clean, dedicated remote server. This grants absolute administrative privileges to install any software, version, or custom plugin. The cloud environment functions identically to a local high-end workstation.
4. Real-Time Error Management and Troubleshooting
- Traditional SaaS: The rendering process occurs blindly in the background. Errors such as missing textures, lighting artifacts, or font conflicts are only discovered after completion or failure, forcing users to patch locally and re-upload the entire project.
- iRender (IaaS): Users can open the project file and preview the scene directly on the remote server. Should any discrepancies arise, real-time modifications can be executed via Remote Desktop, allowing the render to proceed immediately and saving critical pipeline hours.
5. Comprehensive Workflow Capabilities Beyond Rendering
- Traditional SaaS: Functionality is strictly confined to executing the final render queue, offering no utility for upstream production tasks.
- iRender (IaaS): Operating as a fully-fledged enterprise computer, the platform supports intensive pre-rendering tasks. Artists can run heavy simulations (smoke, fire, fluid dynamics), bake lighting, develop real-time environments in Unreal Engine 5, or deploy advanced AI frameworks (Stable Diffusion, ComfyUI) seamlessly.
6. Enterprise-Grade Data Privacy and Security
- Traditional SaaS: Project assets are parsed, distributed, and processed across multiple shared nodes within the farm’s network, which introduces potential software conflicts and security vulnerabilities.
- iRender (IaaS): The entire pipeline remains contained within an isolated, single-tenant server assigned exclusively to the user. This infrastructure guarantees maximum intellectual property protection, which is essential for NDA-bound and high-security projects.
Why does iRender's IaaS model excel at supporting both Single-GPU and Multi-GPU setups?
iRender’s outstanding performance across both Single and Multi-GPU workflows stems directly from its Infrastructure as a Service (IaaS) foundation combined with high-level hardware virtualization [iRender]. Instead of using restrictive software middleware, iRender delivers direct, unthrottled access to physical enterprise hardware, catering perfectly to two completely different rendering worlds:
1. Maximum Throughput and VRAM Pooling for Multi-GPU Software (Redshift, Octane, Cycles):
- Enterprise-Grade Bandwidth: Multi-GPU engines demand extreme data synchronization and zero bottlenecks. iRender utilizes server-class motherboards configured with full-lane PCIe Gen 4/Gen 5 slots . This ensures that when you rent a 2x, 4x, or 8x RTX 4090 server node, data transfers between the graphics cards happen with absolute zero latency.
- Hardware Linking (NVLink / P2P): On specialized multi-card nodes, iRender enables direct peer-to-peer communication channels. Engines like Redshift and Blender Cycles leverage this to pool VRAM capacities together, creating a massive virtual memory space that easily swallows high-density poly counts and 8K texture sets without out-of-memory crashes.
2. Dedicated Resources and High Clock-Speeds for Single-GPU Software (Unreal Engine 5, Lumion, Twinmotion):
- 100% Dedicated Bare-Metal Allocation: Real-time engines only utilize one primary graphics card but require absolute stability. iRender provides dedicated 1x RTX 4090 servers without using shared virtual GPU (vGPU) slicing. The hardware is entirely yours during the session, guaranteeing 100% of the core processing power is funneled into your viewport.
- High Single-Core CPU Clock Speeds: Real-time software relies heavily on a single CPU core to process logic and feed data to the GPU. iRender pairs its Single-GPU instances with top-tier, high-clock CPUs (such as AMD Ryzen Threadripper or latest Intel Xeon chips) [iRender], completely eliminating lag and stuttering when manipulating active complex viewports.
3. Conclusion:
“iRender is the pure soul of GPU performance — delivering the most raw and powerful computing strength.”
Why is iRender highly secure and how does it deliver absolute data protection for clients?
1. Maximum Security from Certified Tier III Physical Infrastructure: iRender hosts its server infrastructure in world-class, certified Tier III Data Centers. The physical facilities are fortified with multi-layer security, including 24/7 continuous CCTV monitoring, biometric authentication (fingerprint/iris scans), and RFID smart card access controls. Furthermore, the N+1 power and cooling redundancy guarantees a 99.982% uptime SLA, preventing abrupt server shutdowns, safeguarding your rendering progress, and eliminating file corruption risks.
2. Isolated Network Design to Prevent Cross-Account Access: Built with enterprise-grade firewalls and advanced DDoS mitigation systems, the architecture ensuring complete data isolation. By system design, users operate within an independent virtual environment and are strictly prohibited from accessing any data other than their own. Each client is granted access exclusively to their personal assets, creating a robust shield against unauthorized internal or external breaches.
3. Strict Internal Data Privacy and Non-Disclosure Commitments: iRender stores your projects and render outputs on highly secured internal servers that are completely isolated from outside infiltration. We do not share personal information or project files with any third-party companies, organizations, or individuals outside of iRender without your written consent. In the event that we need to access your remote machines to provide technical customer support or enhance your user experience, we will always request your explicit permission beforehand.
4. Advanced SSL Encryption and Automated Session Wiping: To aggressively protect your intellectual property from unauthorized alteration, disclosure, or destruction, iRender encrypts all data transmission channels using SSL protocols and enforces a mandatory verification process upon Account registration. Additionally, adhering to rigid global information security standards, iRender deploys an automated data-wiping protocol: the moment you shut down your rented server instance, the system instantly purges all temporary data caches, making it impossible for subsequent users to retrieve any remnants of your work.
5. Summary:
By seamlessly integrating robust Tier III physical infrastructure with a zero-compromise internal data privacy policy, iRender establishes a fortress-like security environment from hardware to cyberspace. This guarantees that your high-value digital assets and proprietary pipelines remain entirely secure and confidential at all times.
Who is iRender suitable for? Which target audiences benefit most from an IaaS Render Farm?
iRender’s IaaS (Infrastructure as a Service) model is highly versatile and acts as the ultimate rendering solution for the following 5 key target groups:
1. Large-Scale Projects & Security-Conscious Studios:
- Profile: Animation studios, game developers, production houses, and architectural firms handling high-budget projects with strict NDA compliance.
- Why it fits: They benefit directly from iRender’s certified Tier III Data Center security infrastructure to eliminate data leak risks while instantly scaling processing power without building an expensive in-house server room.
2. Multi-GPU Software Users (Redshift, Octane, V-Ray, Blender):
- Profile: 3D artists and studios relying heavily on GPU-accelerated render engines that scale linearly with multiple graphics cards.
- Why it fits: Software like Redshift renders exponentially faster on multi-card setups. By renting iRender’s servers packed with 2x, 4x, or 8x RTX 4090 GPUs, users can slash rendering times and utilize features like NVLink for massive scenes without spending thousands of dollars upfront on hardware.
3. Freelancers & Real-Time Rendering Creators (Unreal Engine, Lumion, Twinmotion):
- Profile: Independent creators, individual freelancers, or architects utilizing single-GPU heavy, real-time application pipelines.
- Why it fits: It allows them to transform a basic, low-spec laptop at home into a cutting-edge graphical powerhouse via Remote Desktop. They can smoothly manipulate assets, tweak lighting, and render real-time viewports directly on the virtual machine with zero lag.
4. Studios with Complex Pipelines & Proprietary Plugins:
- Profile: Technical directors and 3D teams whose projects require highly customized environments, in-house tools, specialized scripts, or rare custom font sets.
- Why it fits: Unlike traditional automated SaaS farms that block custom installations, iRender grants full Administrator privileges. Users have total freedom to configure their unique environment and proprietary pipelines exactly as they need.
5. Heavy VFX Animators & AI/Deep Learning Engineers:
- Profile: Visual effects artists running massive simulations (smoke, fire, water via Houdini) or AI developers training machine learning models.
- Why it fits: These workflows demand staggering compute specs like 256GB–512GB of RAM or specialized AI accelerators (e.g., NVIDIA A100). Renting these nodes on an hourly, pay-as-you-go basis offers unparalleled cost efficiency.
Why is iRender's IaaS model considered the ultimate cloud solution for Cinema 4D, Redshift, Octane, Blender Cycles and GPU-based render engines in general compared to traditional SaaS farms?
iRender delivers an unparalleled cloud environment for 3D artists by perfectly matching the infrastructure requirements of all modern GPU-driven rendering software through four critical advantages:
Why does iRender deliver outstanding support for Blender workflows?
iRender’s IaaS (Infrastructure as a Service) model perfectly aligns with Blender’s core software architecture, solving the two most critical bottlenecks in modern 3D production pipelines:
1. Unlocking Linear Scaling for Blender Cycles Core Architecture:
- The Software Core: Since version 3.0, Blender Cycles has undergone a complete source-code overhaul to eliminate CPU bottlenecks, shifting its rendering weight heavily toward massively parallel computing via the NVIDIA OptiX API (Ray Tracing Cores). The path-tracing sample distribution algorithm in Cycles exhibits near-perfect linear scaling in multi-GPU configurations.
- The iRender Advantage: iRender provides dedicated remote nodes equipped with integrated Multi-GPU setups, ranging from 2x, 4x, to 8x NVIDIA RTX 4090s. Upon launch, Cycles automatically tiles and streams rendering workloads across tens of thousands of CUDA and Tensor cores simultaneously. Benchmark tests show that a 4x RTX 4090 node slashes rendering times by 3.5 to 4 times compared to a single-GPU workstation. This allows teams to process massive cinematic visualization and heavy physics simulations at speeds unachievable on standard studio hardware.
2. Pipeline Liberation via Full Root/Admin Access and Deep Add-on Integration:
- The SaaS Bottleneck: Traditional automated render farms (SaaS) operate on rigid, closed environments that only support “vanilla” Blender projects. When a production utilizes complex third-party extensions—such as Geo-Scatter for high-density polygon distribution, Flip Fluids for fluid dynamics, or custom Python scripts—SaaS farms frequently trigger compilation errors, missing texture maps, or broken visual simulations.
- The iRender Advantage: By operating on a true IaaS model, iRender grants full Administrator privileges over isolated virtual instances. This allows technical directors to perform deep system configurations: deploying customized Blender forks (e.g., Blender Octane Edition), precisely matching add-on version dependencies, loading custom external DLLs, or mapping pipeline-specific environment variables. Projects execute in the cloud exactly as they were built locally, guaranteeing a 100% accurate output and eliminating the risk of costly re-renders .
Why can iRender's IaaS model effortlessly support Single-GPU and Real-Time software (like Unreal Engine, Lumion, D5, KeyShot, and Twinmotion) while traditional automated SaaS farms completely fail?
iRender successfully hosts real-time and single-GPU applications by eliminating the structural barriers of automated cloud rendering through four interconnected technical advantages:
Why is iRender's IaaS model considered the absolute best cloud solution for Unreal Engine 5 (UE4, UE5) users, while traditional automated SaaS farms completely fail?
Unreal Engine 5 is one of the most hardware-intensive and complex real-time development platforms in the industry. iRender delivers an optimal environment for UE5 by directly solving the core technical limitations that cause traditional SaaS farms to fail:
Which operating systems does iRender support for client machines, and how do I access it?
iRender fully supports all major operating systems on the client side with tailored access methods:
- If you use Windows: You can download and use the native iRender GPU Desktop App for 1-click server management and automatic background data syncing.
- If you use macOS or Ubuntu (Linux): You can easily manage everything through the iRender Web App directly in your internet browser, then connect to the servers using standard remote desktop tools (like Microsoft Remote Desktop for Mac or Remmina/SSH for Ubuntu).
What is a render farm?
A render farm is a network of computers that work together to render 3D images or animations much faster than a single computer.
In cloud-based render farms, the rendering workload is split into smaller tasks and processed in parallel across multiple render nodes, drastically reducing render time.
For example, a 100-frame animation that takes 100 hours on one computer could be finished in about 1 hour on a render farm, as each frame is rendered simultaneously. High-resolution images are often split into strips, rendered separately, and then combined into the final image.
Many online render farms also offer plugins for popular 3D software, making it easy to upload projects with all dependencies and render accurately. They are especially valuable for freelancers and studios with tight deadlines, allowing faster delivery without investing in expensive hardware.
What are the benefits of using a render farm?
A render farm saves you from costly hardware investments, complex setup, and ongoing maintenance. You don’t need to build a server room, buy and manage multiple render licenses, replace parts every few years, or deal with idle machines during slow periods.
With a cloud render farm, you can:
- Integrate instantly with your 3D pipeline, no complex setup required.
- Scale on demand to handle bigger, more complex projects.
- Pay only for what you use with usage-based pricing.
- Deliver higher quality work to meet rising CG standards.
- Handle last-minute changes and client revisions without missing deadlines.
This flexibility lets freelancers and studios focus on creativity while meeting tight schedules without heavy upfront costs.
Is a render farm worth it?
A render farm is worth it if you need extra rendering power without the cost and maintenance of owning additional hardware.
It’s especially valuable when you:
- Rarely render or need to handle large projects.
- Have tight deadlines and need faster turnaround.
- Want to avoid buying and maintaining extra render machines.
- Don’t want to pay for extra render licenses you rarely use.
Many studios and freelancers use a hybrid approach: relying on in-house computers for everyday work, and offloading to a cloud render farm only when deadlines are tight or projects are too big for local hardware. This way, you get maximum flexibility without heavy upfront investment.
What types of render farms exist?
Render farms can be categorized in several ways:
By provider:
- Local (self-built) render farm: You own and manage hardware on-site.
- Cloud (online) render farm: Commercial rendering service accessed via the internet.
By computing model:
- IaaS (Infrastructure as a Service): You rent dedicated hardware and control the render process.
- SaaS (Software as a Service): The provider handles both hardware and software; you simply upload your project.
- PaaS (Platform as a Service): The provider handles both hardware and software but you control the render process.
By hardware type:
- CPU render farm: Optimized for CPU-based render engines.
- GPU render farm: Optimized for GPU-accelerated render engines, often much faster for modern workflows.
How does a render farm work?
A render farm works by splitting a rendering project into smaller tasks and processing them in parallel across multiple machines, drastically speeding up the rendering process.
SaaS render farm: You upload your prepared 3D scene to the farm. The farm’s manager software distributes the tasks to its nodes, each rendering part of the project simultaneously. Once complete, the system assembles the results into the final image or animation and delivers it back to you.
IaaS render farm: You rent remote servers from a provider, configure them yourself, and run your rendering directly on these machines. This gives you full control over the software environment and allows you to scale resources up or down, paying only for what you use.
How does render farm pricing work?
Render farms typically charge based on time or resources used:
- Per-minute / Per-hour: You pay for the time your rendering tasks run. Ideal for small projects or a few frames.
- Per-core / Per-machine: You pay for the number of CPU cores or GPU servers used. Better for large projects with many frames.
Some providers combine these models or offer:
- Pay-as-you-go: Pay only for what you use.
- Subscription plans: Monthly or yearly packages with a set number of hours or cores.
- Pricing tiers based on hardware power, storage, or other resources.
Costs vary widely, so compare providers for both pricing and included features. For example, some charge a fixed rate regardless of usage time, while others adjust pricing based on the exact resources consumed.
What should you consider when picking a render farm?
There’s no single “best” render farm for everyone. It depends on your workflow, budget, and deadlines. Key factors to evaluate include:
- Easy to use: Are the workflow and interface intuitive?
- Software compatibility: Does it support your 3D software, renderer, and plugins?
- Rendering speed and available nodes
- Price and rendering cost
- IaaS vs SaaS: Full control vs easy management
- Stability and Support: Reliable uptime and responsive customer service
- Data center location: Closer servers can mean faster file transfers
- Reputation: Reviews, case studies, client feedback
- And more
Why do 3D artists use render farms?
3D artists rely on render farms because personal computers often can’t handle large or complex 3D projects. Building and maintaining a high-performance workstation is costly, so a render farm becomes a practical and affordable solution.
Who needs a render farm: freelancers, studios, or both?
Both. Freelancers usually don’t own powerful hardware for heavy rendering, while studios may have in-house servers but often need extra cloud rendering power to handle large projects or tight deadlines.
Can beginners use a render farm easily?
Yes, render farms are generally easy for beginners. PaaS render farms let you upload your project and get the final output directly. IaaS render farms, like iRender, give you full control of a remote server, working just like your own PC.
What is the difference between CPU and GPU render farms?
CPU render farms offer servers with strong processors, ideal for CPU-based software such as Arnold CPU or V-Ray CPU. GPU render farms use high-end GPUs like the RTX 4090, designed for GPU-accelerated render engines like Redshift, Octane, or V-Ray GPU.
Is a render farm cheaper than building my own workstation?
Yes. Setting up a personal workstation requires expensive hardware, cooling, upgrades, and technical maintenance. A render farm is more cost-efficient and flexible, allowing you to pay only when you need computing power without worrying about upkeep
Do render farms offer free trials or credits for new users?
Many render farms provide discounts or free credits for new users, often between 20–50%. iRender, for example, offers a 100% bonus on the first deposit within 24 hours of signing up.
Are Maya supported on render farms?
Yes. Many render farms support Maya, but not all versions or render engines. Always check compatibility before payment.
Do render farms support 3ds Max?
Yes. Most render farms support 3ds Max, but you should confirm the supported versions on their website first.
Can I use Redshift on a render farm?
Yes. Many farms support Redshift, but you need to check both version support and compatibility with your 3D software.
Is Octane Render supported on render farms?
Yes, but very few. Octane is less farm-friendly. iRender is one of the few render farms that support Octane with all versions and the necessary modeling software.
Can I render with Unreal Engine or Unity on a render farm?
Yes, but only a limited number of render farms support Unreal Engine and Unity.
Are Adobe After Effects and Premiere Pro supported by render farms?
Yes, but partly. Some farms support After Effects, but Premiere Pro is less farm-friendly since it requires all assets on one machine. IaaS render farms work better in this case.
Do I need to compress or pack textures before sending?
Yes. Compressing textures reduces file size, upload time, memory usage, and helps avoid missing textures.
How powerful are render farm servers compared to a home PC?
Render farm servers are much more powerful than home PCs, with high-performance CPUs and GPUs working in parallel to drastically cut render times.
Do render farms offer RTX 4090 or A6000 GPUs?
Yes. Many modern render farms provide high-end GPUs like RTX 4090 and RTX A6000 for faster rendering and AI training. Availability depends on each provider, so check supported GPU types before payment.
How many GPUs can I use at once on a render farm?
Most render farms let you use 1-8 GPUs per node. Some high-end AI or HPC cloud providers support 16-32 GPUs, but this is rare and usually not part of standard 3D render farms.
Do render farms support multi-GPU rendering?
Yes. Most render farms support multi-GPU rendering to speed up performance, while also offering single-GPU options for lighter projects.
How much VRAM do render farm GPUs have?
GPU render farms typically have 24GB to 48GB of VRAM (RTX 3090, RTX 4090, A6000). Some high-end farms offer GPUs with even more VRAM for heavy projects.
How do render farms handle very large files (100GB+)?
Render farms support large file uploads via custom apps, FTP, Google Drive, or Dropbox. Powerful servers ensure smooth processing. Pack your project in one folder to avoid missing assets.
What 3D software is supported by a render farm?
Most render farms list their supported 3D software on their website. Always confirm your required software, renderer, and plugins are supported before signing up.
Commonly supported 3D tools include:
- Cinema 4D
- Blender
- 3ds Max
- Maya
- Corona
- Redshift
- Arnold
- V-Ray
For IaaS render farms like iRender, you can install and run any software or plugins, just as you would on your own computer, because you have full control over the machine.
How is a render farm different from local rendering?
A render farm is a cluster of high-performance computers built for 3D rendering. It lets you offload work from your PC, giving faster speeds, better efficiency, and the ability to handle large projects without slowing down your machine.
Local rendering means using your own computer’s resources. While it gives full control and real-time adjustments, it’s often slower and struggles with complex, resource-heavy projects.
What types of projects can benefit most from using a render farm?
Render farms are ideal for heavy 3D tasks such as feature films, complex animations, massive architectural visualizations, visual effects (VFX), and high-resolution simulations.
How to optimize rendering time on farms?
To optimize your render time, you should optimize your 3D scene and render settings, then choose the right render farm that supports your software and plugins. Adjust the farm’s settings, use its advanced features, and ensure a stable internet connection for the best performance.
What common issues may arise when using a render farm?
Users may face several issues, including:
- Security risks: data loss, theft, or corruption
- Compatibility issues: limited software versions or plugin conflicts
- Storage and performance limits: resource bottlenecks or overheating
- Other challenges: wrong output settings, unstable network, unclear pricing, or weak customer support
How do I troubleshoot performance problems on a render farm?
Identify the workflow and locate the cause of the slowdown. Check your project settings, software compatibility, and network connection. If the issue persists, contact the render farm’s support team. Render farm like iRender provides 24/7 support to quickly resolve performance problems.
Can I save money by optimizing my scene before sending it to a render farm?
Yes. Optimizing your scene by removing unnecessary objects, cleaning geometry, and reducing complexity helps lower render times and saves credits on the render farm.
Are there discounts for long-term or bulk rendering projects?
Yes. Most render farms offer discounts for long-term usage or bulk rendering projects. It’s best to contact customer support to get a tailored offer.
Do render farms charge extra for software licenses?
PaaS render farms usually include licenses for popular software like Blender, Maya, or 3ds Max at no extra cost. IaaS render farms, such as iRender, require users to bring and use their own licenses.
What happens if I run out of credits during rendering?
If your credits run out while rendering, the job will pause or stop. Once you top up your account, you can resume the process without losing progress. However, be cautious with video rendering, as it may be lost, and you will need to render it again.
Can I render Cinema 4D projects on a render farm?
Yes, Cinema 4D is supported by most render farms. Some farms support all versions and engines (Redshift, Octane, Arnold, Corona, etc.), like iRender, while others only support specific versions or plugins. Always check compatibility before starting.
Do render farms support Blender Cycles and Eevee?
Yes. Almost all render farms support Blender because it is a popular free and open-source software.
How do I track the progress of my render on a farm?
You can track progress through the render farm’s online dashboard or monitoring app.
Can I pause or resume renders on a render farm?
Yes. Most farms allow pausing and resuming, but behavior depends on software. Image renders are safe to pause, while video renders may need restarting.
How do I download the final rendered frames or videos?
Render farms usually provide a web app or client app for downloading your finished frames or videos directly.
Do render farms allow me to choose render settings like resolution or samples?
Yes. Both SaaS and IaaS render farms let you choose core settings like resolution, samples, and frame range.
What happens if my render crashes on the farm?
If a render crashes, you may lose progress. Farms usually have backups, and support teams can help restore or compensate for the failed job.
Can I render overnight on a render farm?
Yes. Render farms run 24/7, so overnight rendering is common. Technicians monitor servers to prevent hardware issues.
Do render farms keep my projects after rendering is complete?
Most render farms store files only temporarily. After you download results, projects are deleted shortly for security and storage reasons.
Do render farms support real-time rendering or just offline rendering?
Most render farms are optimized for offline rendering (final frame and animation). However, some farms like iRender also support real-time rendering if you want to rent a remote workstation with a powerful GPU. You can then use engines like Unreal Engine, Unity, or Omniverse in real-time.
Can I use a render farm for AI training as well as 3D rendering?
Yes. Some render farms, like iRender, support both AI training and 3D rendering by offering powerful GPU servers (RTX 3090/4090, A6000, A100, etc.). You can use the same infrastructure for deep learning, simulations, and rendering projects.
How long does it take to set up and start rendering on a render farm?
Most render farms let you start rendering within minutes after upload. IaaS-based farms may take longer since you set up the environment yourself.
Can I monitor the render progress in real time?
Yes. Most render farms provide a web dashboard or client app to track frame progress, logs, and resource usage.
Do render farms offer 24/7 customer support?
Yes. Many professional render farms provide 24/7 support via chat, email, or ticket for setup and troubleshooting.
What is AI, Machine Learning, and Deep Learning? How do they differ?
Artificial Intelligence (AI) is the broad field of enabling computers to mimic human behavior, from decision-making and problem-solving to understanding language and recognizing images.
Machine Learning (ML) is a subset of AI where computers learn to perform tasks from data, rather than being explicitly programmed.
Deep Learning (DL) is a further subset of ML that uses multi-layered neural networks to handle complex tasks such as speech recognition, computer vision, and natural language processing.
AI includes many techniques such as natural language processing (NLP), computer vision, robotics, simulation, and optimization.
Machine Learning focuses on training algorithms with data so they can make predictions or decisions without step-by-step instructions.
Deep Learning uses artificial neural networks, including ANN, CNN, and RNN, to solve problems that traditional ML struggles with.
Why are GPUs important for AI, machine learning, and deep learning?
GPUs accelerate AI workloads by processing many calculations in parallel, making training and inference much faster than on CPUs.
This speedup enables developers to train larger, more complex models and deploy them more efficiently. As AI models grow in size and complexity, such as deep neural networks for vision, speech, and language, GPUs become essential for handling the massive data and computation requirements.
What is iRender AI (GPU Cloud for AI, ML, and DL)?
iRender AI is a GPU cloud platform designed for AI training, machine learning, and deep learning workloads.
You can run frameworks like TensorFlow, Jupyter, Anaconda, Python, and others exactly as you would on a local machine, but with the power of high-end cloud GPUs.
For AI workloads, iRender offers:
- RTX 4090 and RTX 3090 servers with high CUDA core counts, large VRAM, and NVIDIA Tensor Core acceleration.
- Multi-GPU configurations to significantly speed up large-scale model training.
- Flexible IaaS control so you can install, configure, and optimize your environment for any AI project.
What AI frameworks are supported by iRender?
iRender supports many major AI, machine learning, and deep learning frameworks, including but not limited to: TensorFlow, Jupyter, Anaconda, Python, PyTorch, MXNet, Keras, CNTK, and Caffe.
Because iRender is an IaaS platform, you can install any framework, library, or toolkit you need, from stable releases to custom builds, just as you would on your local machine.
Can iRender run Blender with AI-based rendering plugins?
Yes. iRender supports Blender along with all major render engines and AI-based rendering plugins, giving you full flexibility for your projects.
Can I install my own AI frameworks?
Yes. As an IaaS service, iRender gives you full control over your server. You can install any AI/ML/DL framework, library, or tool.
Can I run inference or fine-tuning on iRender?
Yes. You can run inference for deployed models, fine-tune pre-trained models, or run batch predictions directly on iRender’s GPU servers.
Which GPUs on iRender are best for AI training?
iRender offers servers with 1-8× RTX 3090 or RTX 4090 GPUs, both excellent for AI training. For the best performance, we recommend using RTX 4090.
How much VRAM do I need for AI rendering?
For AI rendering, 24GB VRAM is recommended. iRender provides RTX 3090 and RTX 4090 GPUs, each with 24GB VRAM, ensuring smooth training and rendering performance.
Who can use iRender AI?
Anyone, including AI researchers, developers, students, and businesses, can use iRender AI for training and inference.
Is iRender AI only for developers?
No. iRender AI is for anyone who needs GPU power, not just developers.
What are the benefits of iRender AI compared to local GPUs?
iRender AI offers faster performance, scalability, no hardware maintenance, and lower upfront cost compared to local GPUs.
Is iRender AI cloud-based?
Yes. iRender AI is a 100% cloud-based GPU service.
Does iRender AI support deep learning and machine learning?
Yes. iRender AI fully supports deep learning and machine learning workloads.
Does iRender AI support NVIDIA RTX 4090 or A100 GPUs?
We provide 1/2/4/6/8x RTX 3090/4090 servers for AI training.
What hardware does iRender AI provide?
iRender provides 1/2/4/6/8x RTX 3090/4090 servers with 24GB VRAM and powerful CPU AMD Ryzen™ Threadripper™ PRO 3955WX @ 3.9 – 4.2GHz and AMD Ryzen™ Threadripper™ PRO 5975WX @ 3.6 – 4.5GHz, 256GB RAM and 2TB NVMe SSD Storage enough to train your big projects.
Is iRender AI cheaper than buying my own GPU workstation?
Yes. With iRender you pay-as-you-go, avoiding high costs of hardware, cooling, maintenance, and setup required for personal GPU workstations.
What happens if credits run out during training on iRender AI?
If credits run out, the server shuts down automatically. iRender notifies you 30 minutes before, so keep balance topped up for uninterrupted training.
Can I use iRender AI for data science projects?
Yes. iRender AI is suitable for data science, big data, and analytics tasks.
How much VRAM is available on iRender AI GPUs?
Each RTX 3090/4090 GPU has 24GB VRAM, suitable for both small and large AI training projects.
Can I use Hugging Face models on iRender AI?
Yes. iRender AI supports Hugging Face models, including Transformers, Diffusers, and fine-tuning.
Does iRender AI provide high-speed storage for AI projects?
Yes. iRender AI offers high-speed NVMe SSD storage (up to 2TB) with fast read/write speeds, ensuring quick dataset loading, smooth AI training, and efficient rendering performance.
What internet speed do I need to use iRender AI smoothly?
You only need a stable internet connection to use iRender AI smoothly. For best performance, we recommend at least 20-50 Mbps download/upload with low latency, and use wired Ethernet instead of Wi-Fi for stable streaming and data transfer.
Does iRender AI support TensorFlow and PyTorch?
Yes. iRender AI fully supports TensorFlow and PyTorch for AI training and inference.
Can I install custom AI frameworks on iRender AI?
Yes. You can install any custom AI framework on iRender servers since you have full root access.
Does iRender AI support Jupyter Notebook?
Yes. You can install and run Jupyter Notebook on iRender servers for interactive AI development.
How do I monitor training progress on iRender AI?
You can monitor training progress via the iRender web app or desktop app. To check details, connect directly to the server since you have full control of the machine.
Can I pause and resume training jobs on iRender AI?
Yes. You can pause training, turn off the machine to stop billing, then boot and reconnect later to resume, as long as you saved the progress. The saving method depends on the model you are training.
How do I download trained models from iRender AI?
After training, move the model to the Y drive and download it via the iRender desktop app (Windows) or Drive app (macOS). You can also use Google Drive, Dropbox, or Wetransfer to transfer data.
How do I upload my datasets for AI training?
You can transfer datasets to iRender via our iRender GPU app, cloud storage (Google Drive, Dropbox, OneDrive), or FTP tools.
Uploads can run even when the server is turned off.
Can iRender handle large AI models and datasets?
Yes. iRender servers offer large VRAM (24GB) and high system RAM (256 – 512GB), making them suitable for training large models and handling massive datasets.
How is AI training billed on iRender?
Billing works the same as rendering; you pay by the second for the time the machine is running. You can scale the GPU count up or down depending on your project needs.
Is my AI project data secure on iRender?
Yes. All data is stored on secure internal servers with strict access controls. Only you can access your datasets, models, and outputs, and all transfers are SSL-encrypted.
For full details, please see our (13) Privacy here!
Do you offer a discount for long-term AI projects?
Yes. iRender provides discounts of up to 20% for long-term AI projects. Contact our customer support team to get details and a customized offer.
What operating systems are available on iRender?
iRender supports both Windows and Ubuntu operating systems for AI workloads. You can set up environments or containers to match your AI project requirements.
How fast is AI model training on iRender compared to local GPUs?
iRender’s high-performance servers significantly speed up AI model training compared to local GPUs. For exact performance results, you can request a free trial by contacting our support team.
Is there any free trial for AI modeling on iRender?
Yes. iRender offers a free trial for AI modeling. Contact our customer support team to request access and get setup guidance.
What payment methods does iRender AI accept?
We accept Onepay, Momo, and Banking transfer.
Are there long-term plans available on iRender AI?
Yes. iRender AI offers long-term rental and subscription plans with discounted rates up to 20%. Contact the support team for more details.
Does iRender AI offer discounts for students or researchers?
Yes. iRender AI provides special discounts for students and researchers (50% bonus for every transaction). You can contact support for more details.
What makes iRender AI different from other AI cloud providers?
iRender AI offers full control over servers, flexible pricing, 24/7 support, and 100% green energy.
Is iRender AI suitable for AI research?
Yes. iRender AI provides high-performance GPUs that are ideal for AI research.
Can I use iRender AI with credits?
Yes. You need to top up credits first and use them to pay for iRender AI services.
What internet speed do I need to stream smooth AI rendering sessions on iRender?
For smooth AI rendering sessions, iRender recommends a stable, high-speed connection with wired Ethernet instead of Wi-Fi to ensure low latency and reliability.
Can I use multiple GPUs on iRender AI?
Yes. iRender provides a variety of packages with different number of cards per machine from 1-8x RTX 3090/4090 for you to freely choose according to your requirements.
Is GPU performance on iRender AI faster than local training?
Yes. RTX 3090/ 4090 GPU with various cards will increase AI training efficiency. Also, render farm runs 24/7, and you can connect to the machine to work at any time, which is much more convenient and faster than local training, which has many limitations in hardware and technology.
Does iRender AI support CPU computing?
Yes. In addition to powerful GPUs, our servers feature powerful CPUs AMD Ryzen™ Threadripper™ PRO 3955WX @ 3.9 – 4.2GHz and AMD Ryzen™ Threadripper™ PRO 5975WX @ 3.6 – 4.5GHz to ensure efficient and uninterrupted training.
Can I benchmark performance on iRender AI before training?
Yes. You can test part of your workload on iRender servers. Contact support for a free trial.
Do I need to install software before using iRender AI?
iRender offers some pre-installed AI tools, including Stable Diffusion. You can also install any additional software once and reuse it.
How does iRender AI handle large datasets?
iRender supports large datasets with 2TB NVMe SSD storage, 256GB RAM, and fast upload via Z drive or tools like Google Drive, Dropbox, and WeTransfer.
Does iRender AI support Stable Diffusion?
Yes. Stable Diffusion is pre-installed on iRender servers, or you can set it up manually.
Can I run LLMs like LLaMA or Mistral on iRender AI?
Yes. iRender AI supports LLMs such as LLaMA, Mistral, Falcon, and others with multi-GPU setups.
Does iRender AI support CUDA and cuDNN?
Yes. iRender AI provides full support for NVIDIA CUDA and cuDNN for GPU acceleration.
Can I use Docker with iRender AI?
Yes. Docker is fully supported on iRender servers, allowing containerized AI workflows.
Can I use iRender AI for reinforcement learning projects?
Yes. iRender AI supports reinforcement learning with GPU acceleration and customizable environments.
What happens if training crashes on iRender AI?
If training crashes, contact the iRender Customer Support team for immediate help.
Can I collaborate with teammates on iRender AI?
Yes. You can share the RDP file with a teammate so they can access the remote machine. However, one machine can only be accessed by one person at a time.
Is iRender AI available worldwide?
Yes. iRender AI is available worldwide as long as you have a stable internet connection.
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