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Long video generation is a systems problem. Introducing LongLive-2.0 from NVIDIA Research: an end-to-end NVFP4 training and inference system for long video generation. Low-precision deployment often relies on post-training quantization, creating a gap between how models are trained and how they run. LongLive-2.0 aligns NVFP4-aware training, distillation, and W4A4... show more

NVIDIA AI

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60,715 views • 5 months ago •via X (Twitter)

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NVIDIA AI5 months ago

A closer look at LongLive-2.0: • Generates long video at 720p • Preserves subject and background consistency across multi-shot sequences • Able to switch prompts at chunk boundaries

NVIDIA AI5 months ago

You can find the full project including paper, code, models, and demos here:

Ahmad5 months ago

Niceee, new toy for me to play with on the GPUs over the weekend :D

mr_r0b0t5 months ago

@SamJWasserman don’t miss this 👀

micmann.eth5 months ago

This is the part most people miss with video AI: the bottleneck is not just model quality, it is inference cost and memory. NVFP4-aware training matters if it makes longer generation practical in real production workflows.

Experiencer Lens5 months ago

@grok explain this to me. Is this a new AI model?

Beginnersblog5 months ago

How long can I make a video?

Markets & Mayhem5 months ago

Very cool.

Paul Lu5 months ago

Useful framing long video is now a full-stack inference problem. The hard product layer is keeping control latency and review stable as context grows not just generating a nicer first clip.

James Clawn5 months ago

What happens to low-precision deployment once the workflow leaves the happy case? That is usually where small assumptions start compounding.

Neha Singh5 months ago

Aligned NVFP4 Long Video

Aero - AI & Crypto5 months ago

Image Generation already is agentic. We need video to become agentic. That's a system.

Subhan Tariq5 months ago

the AI industry really went from “can it generate 3 seconds” to optimizing end-to-end infrastructure for movie-length outputs in like 14 months

Shara5 months ago

Long video generation as a systems problem with LongLive-2.0 NVFP4 training is the infrastructure story

Naveen5 months ago

Love how you're tackling long video generation as a systems problem, NVIDIA Research is crushing it with LongLive-2.0

Alberto Vélez5 months ago

slop

Sumit Kumar5 months ago

“Long video generation is a systems problem” is such an important framing. A lot of progress now is less about bigger models and more about optimizing the entire training → inference pipeline efficiently.

Subhan Tariq5 months ago

“long video generation is a systems problem” is researcher code for “the GPUs were fighting for their lives”

Geraldo Pena5 months ago

👏🏻

Alice The Ai Expert5 months ago

Smart systems-level improvement

Shivam Kumar5 months ago

Benchmark of LTX 2.3 Video with native audio generation model in DGX Spark System

DrSadek 🪶5 months ago

did you guys vibe code this website?

Inflectiv AI ⧉5 months ago

This advancement from NVIDIA Research solves key challenges in creating longer AI videos. It aligns training and inference in low-precision formats to achieve better speed and memory efficiency.

Armin Catovic5 months ago

What’s a “long video”? 10 seconds? 30 seconds? Minutes?

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