Pool topic: Real-time, continuous, and interactive AI video generation. Question revision: 1. Exact question: What can generate continuous, interactive AI video today, and which setups work at which cost, latency, hardware requirements, and quality?
Checked 1 October 2026 · NVIDIA Sol-H3 project report
Five seconds of H3 in 1.653 seconds. That is not a live stream.
Project says: Sol-H3 produced nominal five seconds of 1344×768 video with stereo audio in a 1.653-second warm median on eight B300 GPUs. The timer covers text encoding, denoising, and video/audio VAE decoding. It does not cover model loading, compilation, or final MP4 encoding.
Read the workload, not just the multiplier
| Output | Eight-B300 warm median | What is timed |
|---|---|---|
| 5 s · 124 frames | 1.653 s | Text + four denoiser forwards + video/audio VAE |
| 10 s · 243 frames | 3.732 s | Same boundary |
| 15 s · 362 frames | 6.612 s | Same boundary |
All three rows use 1344×768 at 24 fps with audio. Each is the median of three measured requests after one warmup. NVIDIA's 11.04× five-second comparison changes more than the engine: Base H3 uses 49 denoiser forwards, while Sol-H3 uses a four-forward FastH3 Preview adapter and a faster multi-GPU runtime. Do not read it as an 11× gain from sparse attention alone.
The missing live test
NVIDIA lists chunked continuous 24-fps delivery and prompt or reference changes during a session as future work. The published benchmark does not measure an encoded clip reaching a viewer, a queued second clip, a missed segment, or control-to-screen delay. It also supplies no GPU invoice or cost per accepted clip.
If you are building a show, ask for a timestamped receiver recording across several clips, with startup, encode, playout, failure and billed time included. If you need offline H3 output, the result is a strong route to investigate, provided eight B300s and the four-step output meet your quality bar.