Troubleshooting Hardware Bottlenecks Running Wan2.2 Locally
Guyserbun007 · reddit · 2026-08-13
A user encountered performance bottlenecks while locally deploying the Wan2.2 (14B) model for image-to-video generation, suspecting the GPU was underutilized.
- Environment: NVIDIA RTX 4000 Ada GPU.
- Symptoms: GPU only spiked for very short instances, while the SSD and RAM were heavily utilized (RAM at 100%).
- Troubleshooting: As a first-time Wan2GP user, they are asking for help to determine if this is a setup issue or normal hardware scheduling.
More from Infra
- Tencent squeezes 770B-parameter Hunyuan Hy4 Preview into 214 GiB at ~2.38 bits per weight — coolmum18 · 2026-10-16
- TokenSpeed MLA 2 hits NVIDIA Vera Rubin: up to 3.44x faster decode vs B200 — zhyncs42 · 2026-10-16
- US vs Chinese hyperscalers: Americans fund and schmooze, Chinese demand your BoM and cap you at 7% margin — jwt0625 · 2026-10-16
- How LiteLLM routes one OpenAI-shaped API across every model provider — Mahmoud_Zalt · 2026-10-16
- OpenAI-Broadcom custom AI chip Jalapeño named a TIME Best Invention of 2026 — itsclivetime · 2026-10-16
- Developer live-runs continual pretraining of a Luganda LLM on Colab, 41% done with loss dropping fast — weskambale · 2026-10-16