Trellis 2 System Requirements: Complete Specs & Performance Guide (2025)

You're excited about TRELLIS 2—single image to 3D model in seconds. But before you dive in, you need to know: will your computer handle it?

TRELLIS 2 is powerful, but it's also demanding. In this guide, I'll break down exactly what hardware you need, what's optional, and how to optimize performance based on your setup.

Quick Summary: Minimum vs Recommended

GPU Requirements: The Most Critical Component

Your GPU is the bottleneck for TRELLIS 2. Here's what you need to know:

NVIDIA GPUs: Required for Local Runs

TRELLIS 2 relies on CUDA, which means NVIDIA GPUs are mandatory for local installation. Here's how different cards perform:

Entry-Level (Works, but slow):

• GTX 1660 / 1660 Ti (6GB VRAM)
• GTX 2060 (6GB VRAM)
• RTX 2060 (6GB VRAM)

Expect 30-60 seconds per generation

Mid-Range (Sweet spot):

• RTX 3060 (12GB VRAM) ← Best value
• RTX 3060 Ti (8GB VRAM)
• RTX 3070 (8GB VRAM)

Expect 10-20 seconds per generation

High-End (Overkill but fast):

• RTX 4070 / 4070 Ti
• RTX 4080 / 4090
• RTX A5000 / A6000 (workstation cards)

Expect 5-10 seconds per generation

AMD and Apple Silicon?

Bad news: TRELLIS 2's local installation doesn't support AMD GPUs or Apple Silicon (M1/M2/M3) GPUs natively.

Workarounds:

• Use cloud platforms (Hugging Face, Replicate, RunPod)
• Wait for future ROCm/Metal support releases
• Consider web-based alternatives

RAM Requirements: Don't Skimp Here

TRELLIS 2 loads large models into memory. Here's reality:

16GB RAM: Barely functional

• Model loads: 8-12GB
• OS overhead: 4-6GB
• Result: Swapping to disk (slow!)

32GB RAM: Comfortable

• Plenty of headroom
• Smooth multi-tasking
• No performance penalty

64GB+ RAM: Future-proof

• Run multiple generations simultaneously
• Train custom models
• No worries about memory limits

Storage: SSD is Non-Negotiable

TRELLIS 2's model files are large (15-25GB). HDDs will choke.

Minimum: 30GB SSD Recommended: 50GB NVMe SSD Why NVMe? Faster model loading = faster generations

CPU Requirements: Less Critical, But Still Matters

While GPU does the heavy lifting, your CPU handles:

• Data preprocessing
• Post-processing
• File I/O

4-core CPU: Works, but may bottleneck during preprocessing 6-core CPU: Good balance 8+ core CPU: Optimal for batch processing

Operating System Compatibility

Performance Benchmarks: What to Expect

Based on testing with a standard single image input:

What If You Don't Meet Requirements?

Option 1: Cloud Platforms (Recommended)

• Replicate: Pay-per-use, no setup
• Hugging Face Spaces: Free tier available
• RunPod: GPU rental by the hour

Option 2: Optimize Your Setup

• Close background applications
• Use lower resolution inputs
• Enable optimization flags in TRELLIS 2

Option 3: Consider Alternatives

• Meshy (web-based, runs on anything)
• Tripo (cloud-first, lower requirements)
• CSM AI (browser-based)

FAQ: Common Hardware Questions

Can I run TRELLIS 2 without a GPU?

Technically yes (CPU-only), but generations will take 5-10 minutes and may crash. Not recommended.

What about laptop GPUs?

Most gaming laptops with RTX 3060 or better can run TRELLIS 2, but thermal throttling is common. Monitor temperatures!

Is 6GB VRAM enough?

Barely. You'll need to use optimization flags and may hit limits with complex scenes. 12GB is the sweet spot.

Can I use multiple GPUs?

TRELLIS 2 doesn't currently support multi-GPU setups. Use your best GPU.

Next Steps: Check Your Hardware

Before installing TRELLIS 2, verify your specs:

Windows:

dxdiag

Linux:

nvidia-smi
free -h
df -h

macOS:

About This Mac → System Report

Ready to Install?

If your hardware meets the requirements, check out our complete installation guide for step-by-step setup instructions.

If you're looking for a no-code alternative that runs on any device, explore web-based TRELLIS 2 platforms that handle the heavy lifting in the cloud.

Bottom line: TRELLIS 2 is worth the hardware investment if you're serious about 3D content creation. An RTX 3060 with 32GB RAM is the sweet spot for most users. If you're not ready to upgrade, cloud platforms are your best bet.