
Cold Starts Were Never the Real Problem
Flash deploys Python functions as serverless GPU endpoints in under 30 seconds. FlashBoot cuts serverless GPU inference cold starts to under 200ms. Here's how both work.
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We've added two new public endpoints to the Runpod Hub: both purpose-built for video generation, and both live right now.

P-Video is Pruna AI's multimodal video generation model, and its headline feature is a built-in draft mode that changes how you iterate.
Before committing to a full render, you can preview your 5-second 720p video in about 2.5 seconds. If the motion, framing, and timing look right, you run the full render,done in roughly 10 seconds. That feedback loop makes a real difference when you're testing prompts or dialing in a concept.
Beyond speed, P-Video handles text-to-video, image-to-video, and audio-to-video through a single endpoint. Native audio generation is built in with dialogue, sound effects, and background music, so you're not managing a separate audio pipeline. You can also import your own audio tracks and sync them to the generated visuals.
Pricing: $0.02/sec at 720p.
Vidu Q3 comes from Shengshu Technology and is currently ranked #2 globally on Artificial Analysis benchmarks for AI video generation.
The standout capability here is native audio-video generation in a single pass (similar to LTX-2): dialogue, SFX, and background music generated simultaneously with the visuals, not added after. This produces tighter synchronization than post-processing approaches and removes an entire step from the workflow.
Clips go up to 16 seconds at up to 1080p, with support for multi-shot sequencing in a single generation. You can describe multiple camera angles and scene transitions in one prompt, and Q3 will handle the cuts. Text-to-video and image-to-video are both supported.
Pricing: $0.15/sec.
Create something cool with the endpoints? Hop into the new #built-on-runpod channel on Discord to show it off!
Author profile: Brendan McKeag
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