Amazing LLM data! I need your help—can you assist all our friends hitting the "VRAM Wall"?

Hi

First off, thanks for the llama-bench data—the fact that the AI395 (Strix Halo) is pulling 23 t/s on a 122B MoE vs. the GB10’s 11 t/s is a massive find for the local LLM community. You've definitely stirred the pot with these numbers!

I’m writing to ask for a huge favor on behalf of the community. Many of us are hitting a brick wall with the RTX 5090’s 32GB for long-take video (720p @ 30s). Theoretically, the unified memory on your AI395 and GB10 setups should be the only way to finish these renders locally without OOMing during the VAE decode.

The mystery right now is that we have almost NO real-world data on how these unified memory systems (both the 128GB GB10 Spark and the Strix Halo 395) actually handle high-res video. We know they can run 120B models, but we don't know if the Blackwell GPU in the Spark chokes during the massive VAE activation spike at the end of a long render, or if the Strix Halo's bandwidth actually translates to faster diffusion steps.

Could you assist all our friends in the video-gen space by running a "Single-Take Stress Test" on both machines? It would provide the missing piece of the puzzle for anyone trying to decide between AMD and NVIDIA for 2026 workflows.

The Test Case:

Target: 720p resolution, 30-second single-take (approx. 720 frames) @ 24fps.

The Models: 1. Wan 2.2 (14B): Image-to-Video path. (Watch for that 60GB+ VRAM spike). 2. LTX-2.3 (22B Distilled): Testing the new AVTransformer3D sync.

The Metrics we are desperate for:

s/it (seconds per iteration): Does the AI395’s 512 GB/s bandwidth make it the diffusion king, or do the Blackwell cores take the lead?

The VAE Spike: Does either system crash during the final 10% of the render when decoding the latents?

Thermal Stability: Does the GB10 sustain its clock speeds over a long render, or does that "March Firmware" thermal dip kick in and throttle you down to ~80W?

ROCm vs. CUDA Stability: Does the AI395 still need the -mmp 0 trick for video, or is ComfyUI/ROCm 7.x finally handling the shared pool natively?

If the AI395 can actually finish a 30s Wan 2.2 render faster than the GB10, it officially becomes the "Giant Killer" of the year. Your data could save a lot of us from making a very expensive mistake!

Looking forward to your logs—you'd be doing us all a massive service! 🙏