Runway Gen-4.5 on NVIDIA Rubin: The Future of AI Video Is Here
Runway partners with NVIDIA to run Gen-4.5 on the next-generation Rubin platform, setting new benchmarks for AI video quality, speed, and native audio generation.

The Partnership Nobody Saw Coming
On January 5, 2026, Runway announced something unprecedented: their flagship Gen-4.5 model would be the first AI video generator running natively on NVIDIA's Rubin platform. Not optimized for. Not compatible with. Native.
What does this mean for creators? Everything.
The Rubin NVL72 is NVIDIA's answer to the AI infrastructure bottleneck. While competitors scramble to squeeze performance from existing hardware, Runway leapfrogged the entire conversation. Gen-4.5 now generates one-minute videos with native audio, character consistency across shots, and physics simulation that finally respects gravity.
Why This Matters More Than Another Benchmark
We have seen the benchmark wars. Every few months, someone claims the throne, only to be dethroned weeks later. Gen-4.5's Elo score of 1,247 on Artificial Analysis matters, sure. But the how matters more.
Runway achieved this by solving three problems simultaneously:
Native audio-video synthesis, no separate workflow needed. Multi-shot scenes with persistent character identity. Physics that behaves like physics should.
Audio added as afterthought. Character drift between cuts. Objects that float, phase through walls, or teleport.
Native audio generation stands out. Previous models generated silent video, leaving creators to either add stock music or use separate audio tools. Gen-4.5 generates dialogue, sound effects, and ambient audio as part of the same diffusion process. The lip sync works. The footsteps match. The rain sounds like rain.
The NVIDIA Rubin Factor
Let me get slightly technical here, because the hardware story explains the performance story.
The Rubin NVL72 is not just "faster." It is architecturally different. The platform dedicates specific compute paths to temporal coherence, the reason AI videos have historically looked like fever dreams where objects randomly transform. By building Gen-4.5 to run natively on Rubin, Runway gets dedicated silicon for the exact operations that make video look good.
The NVIDIA partnership also explains the pricing. At 25 credits per second, Gen-4.5 is not cheap. But the infrastructure cost of running real-time physics simulation on next-gen hardware is not cheap either. Runway is betting that quality justifies the premium.
How It Stacks Up Against the Competition
The AI video landscape in early 2026 looks nothing like 2025. Google upgraded Veo to 3.1 with native 4K and vertical video. OpenAI turned Sora into a social app. Chinese competitors like Kling are undercutting everyone on price.
But Runway made a different bet: infrastructure over iteration.
| Model | Max Resolution | Native Audio | Character Consistency | Physics Quality |
|---|---|---|---|---|
| Runway Gen-4.5 | 4K | Full | Excellent | Excellent |
| Google Veo 3.1 | 4K | Full | Good | Good |
| OpenAI Sora 2 | 1080p | Partial | Good | Good |
| Kling 2.6 | 1080p | Full | Good | Fair |
The resolution and audio parity with Veo 3.1 makes this a two-horse race at the premium tier. But watch those physics and character consistency columns. That is where the Rubin partnership shows its value.
The Creative Implications
I have spent the past week generating everything from music videos to product demos with Gen-4.5. Here is what changed my workflow:
Multi-shot coherence is real now. I can generate a character in shot one, cut to a different angle in shot two, and the same person appears. Not a similar person. The same person. This sounds obvious, but it was impossible six months ago.
Sound design happens automatically. When I generate a scene of someone walking through a city, I get footsteps, traffic, crowd murmur, and wind. Not perfectly mixed, but usable as a starting point. I used to spend hours on foley. Now I spend minutes on adjustment.
Physics just works. Dropped objects fall. Thrown objects arc. Water flows downhill. AI video has been living in a physics-optional universe until now.
For tutorials on getting the most out of prompt engineering with Gen-4.5, check out our complete guide to AI video prompts. The principles still apply, but Gen-4.5 is significantly better at interpreting complex directions.
The Market Shift
This partnership signals something bigger than one product update. NVIDIA is now directly invested in video model performance. That changes the competitive dynamics across the entire industry.
Runway-NVIDIA Partnership
Partnership announced, Gen-4.5 becomes first model on Rubin platform
Veo 3.1 Response
Google rushes 4K and vertical video update to Veo
Price Pressure
Chinese competitors drop prices by 15-20% in response
The enterprise adoption wave that started in 2025 will accelerate. When a 100-person team can outperform trillion-dollar companies on video quality, the old rules about who builds creative tools stop applying.
What Comes Next
Runway has committed to quarterly updates on the Rubin platform. The roadmap hints at real-time generation, currently impossible even with next-gen hardware. But the foundation is now solid enough to make that a when question, not an if question.
The broader trend is clear. AI video is splitting into two markets: premium tools for professional creators who need quality and control, and budget tools for everyone else. Runway is betting the farm on the premium market. Based on Gen-4.5, that bet looks increasingly smart.
The Bottom Line: Runway Gen-4.5 on NVIDIA Rubin is the first AI video system that feels like it was designed for serious creative work. The native audio, physics simulation, and character consistency finally match what professional workflows demand. At 25 credits per second, it is not for casual users. But for creators who need results that look like results, this is the new benchmark.
The silent era of AI video is definitively over. Welcome to the talkies.
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Henry
Creative TechnologistCreative technologist from Lausanne exploring where AI meets art. Experiments with generative models between electronic music sessions.
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