8-Card RTX 5090 Test: Wan2.2-T2V/I2V Model Arithmetic Performance at Different Resolutions and Pit Avoidance Guide

Published December 16, 2025

As "one-click text-to-video generation" moves from the lab to real-world applications, the compatibility between computing power and models has become a key concern for creators and developers.We built a comput...

As "one-click text-to-video generation" moves from the lab to real-world applications, the compatibility between computing power and models has become a key concern for creators and developers.We built a computing cluster using eight NVIDIA RTX 5090 GPUs (each with 32GB of VRAM) and conducted real-world performance tests of Wan2.2-T2V-A14B (text-to-video) and Wan2.2-I2V-A14B (image-to-video) at 480p, 720p, and 1080p resolutions——This hands-on report provides you with the most practical reference.

I. Test Data: The "Speed Report" from the 8-Card RTX 5090 Cluster

First, the raw data: We tested the processing time per video for both Wan2.2-T2V (text-to-video) and Wan2.2-I2V (image-to-video) at different resolutions (Note: The test scenario involved generating a 10-second standard video clip):
Model
480p Duration (s)
720p Duration (s)
1080P Performance
Wan2.2-T2V-A14B
43.23
83.14
102.93s (Smooth)
Wan2.2-I2V-A14B
75.76
211.96
Insufficient VRAM (Failed)

II. Overall Performance: T2V is more compatible; I2V requires "downgrading"

Based on actual testing, the 8-card RTX 5090 setup offers better compatibility with Wan2.2-T2V:

  • Smooth performance at 480p/720p (480p takes only 43 seconds); while 1080p takes longer, it can still output stably;

  • Wan2.2-I2V, however, is significantly more "VRAM-intensive": processing times at 480p/720p are 1.7–2.5 times longer than T2V, and 1080p fails outright due to insufficient VRAM—this is because I2V requires loading image reference features, resulting in approximately 40% higher VRAM usage than T2V.

III. Common Issues & Workarounds

We also encountered typical issues during testing; here are the solutions:

  1. I2V 1080p GPU Memory Shortage

      Cause: A single GPU with 32GB of VRAM cannot handle the feature computation for I2V at 1080P;

      Solution: Reduce the resolution to 720p, or enable VRAM optimization mode (sacrificing 5% image quality to save 20% VRAM).

  1. Significant Increase in Processing Time at Higher Resolutions

       Cause: As video resolution increases from 480p to 1080p, the number of pixels quadruples;

       Solution: For efficiency, prioritize 720p (balancing speed and image quality); if 1080p is required, split the task (generate a low-resolution video first, then upscaling).

  1. Slow model loading

       Cause: The Wan2.2-A14B model has a large parameter size; the first load on an 8-card cluster requires weight synchronization;

       Solution: Use the "preload cache" feature to cache weights after the initial load; subsequent task loading speeds will improve by 60%.

IV. Yuanjie Computing Power Recommendations: Choose the Right Configuration to Double Efficiency

If you plan to use Wan2.2 for video generation on an 8-card RTX 5090 cluster, our configuration recommendations are:

  • For Text-to-Video (T2V): Go for 1080p without hesitation to balance image quality and efficiency;

  • For image-to-video (I2V): Prioritize 720p, or upgrade to a GPU with 40GB of VRAM.


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