Best Render Farm for Architecture: iRender vs AWS for Architects
AWS EC2 is powerful cloud infrastructure — but it’s built for developers, not architects. Setting up a GPU rendering server on AWS involves choosing instance types (g5.xlarge, g5.2xlarge), configuring Windows AMIs, installing GPU drivers, setting up security groups, and managing elastic IPs. 30–60 minutes of technical configuration before you render a single pixel — every time you create a new instance. On iRender, you boot a pre-configured RTX 4090 server in under 2 minutes with rendering software pre-supported. AWS GPU instances cost $12–20/hour (A10G or T4 GPUs, not RTX 4090). iRender costs ~$8.20/hour with a more powerful RTX 4090. For the vast majority of architects, iRender is simultaneously cheaper, faster to start, and better hardware. AWS wins only when you need specific enterprise features that iRender doesn’t offer.
| Feature | iRender | AWS EC2 (G5 instances) |
|---|---|---|
| Hourly cost | ~$8.20/hr ⭐ | ~$12–20/hr (A10G GPU) |
| GPU | RTX 4090 (24GB VRAM) ⭐ | A10G (24GB) or T4 (16GB) |
| Setup time | 2 min (pre-configured) ⭐ | 30–60 min (manual) |
| Arch-viz software | Pre-supported, easy install | Manual install everything |
| Technical knowledge | Basic PC skills ⭐ | Cloud infrastructure expertise |
| Billing risk | ⚠️ Must disconnect | ⚠️ Must terminate instance |
| Scalability | Multiple servers available | Virtually unlimited ⭐ |
| Enterprise features | Basic | IAM, VPC, S3 storage ⭐ |
Why AWS Is Overkill for Most Architects
We see architects try AWS for one reason: brand recognition. “Amazon must be the best, right?” In reality, AWS is designed for software companies running web applications, machine learning pipelines, and enterprise databases. Its GPU instances (A10G, T4) are data center GPUs optimized for ML workloads, not consumer GPUs optimized for real-time rendering. The RTX 4090’s architecture is specifically designed for the kind of rasterization and ray tracing that Lumion, Enscape, and V-Ray perform. An A10G has similar VRAM (24GB) but slower rendering performance for arch-viz applications.
Then there’s the setup pain. Every AWS session requires: launching the right instance type, waiting 3–5 minutes for boot, connecting via RDP, verifying GPU drivers, and hoping your software licenses still work. On iRender, you click “Start” and connect. The gap in user experience is enormous.
When Does AWS Actually Make Sense for Architects?
To be fair, AWS wins in three specific scenarios: (1) Enterprise studios with IT teams that already use AWS for file storage and project management — adding a render instance to an existing AWS infrastructure is logical. (2) Custom rendering pipelines — studios that automate V-Ray batch rendering through scripts benefit from AWS’s API and programmatic instance management. (3) Global multi-region needs — AWS has data centers everywhere; architects rendering from locations far from iRender’s servers might get lower latency from a nearby AWS region.
For the other 95% of architects — freelancers, small studios, and mid-size firms without cloud infrastructure expertise — iRender provides better hardware at lower cost with zero configuration headaches.
See more: Skip the AWS complexity → Skip the AWS complexity → Start rendering on iRender in 2 minutes
Frequently Asked Questions
- Is AWS cheaper than iRender if I use spot instances?
AWS spot instances can reduce GPU costs by 60–70% — but they can be terminated by AWS at any time with 2 minutes’ notice. Imagine your Lumion walkthrough getting killed at 80% completion because AWS reclaimed the capacity. Spot instances work for interruptible batch jobs (short V-Ray frames) but are risky for Lumion, Enscape, and long renders. On-demand AWS pricing ($12–20/hour) is always more expensive than iRender ($8.20/hour) for equivalent workloads.
2. Does AWS have RTX 4090 GPUs?
No. AWS uses data center GPUs: NVIDIA A10G (24GB), T4 (16GB), and A100 (40/80GB, extremely expensive). These GPUs are optimized for machine learning, not real-time rendering. For arch-viz applications (Lumion, Enscape, V-Ray), consumer RTX GPUs outperform data center GPUs in rendering speed per dollar. The RTX 4090 on iRender renders V-Ray scenes approximately 20–40% faster than an A10G on AWS at a lower hourly rate.
3. Can I run Lumion on AWS?
Technically yes — but it requires significant manual setup: Windows Server AMI, NVIDIA GRID drivers, Parsec installation, and Lumion license configuration. Expect 30–60 minutes of initial setup and $12–20/hour once running. On iRender, the same process takes 2 minutes to boot and $8.20/hour. Unless you have a specific AWS requirement (enterprise compliance, existing infrastructure), there’s no practical advantage to running Lumion on AWS vs iRender.
