Image credit: Nebius
This article is sponsored by Nebius.
Studios, VFX teams, and model makers in AI media are winning on compute economics, not just better models.
Every team working with AI media has hit the same wall. The shot finally looks right, but the render queue swallows the night. The real-time scene stutters the moment it gets complex. The AI feature your artists love is too slow or too expensive to ship. The project is greenlit, but the capacity to actually produce it is not there.
The teams pulling ahead are not the ones with the flashiest models. They are the ones who made the economics work, so they can iterate more, render faster, and ship without the cost breaking the project. That is the real creative advantage.
It comes down to two costs: What it takes to create the work, and what it takes to deliver it at scale, frame after frame. Get those right and ambitious work ships. Get them wrong and your best idea stays a demo.
Both costs are decided by the same thing: The AI infrastructure underneath the model. Not just the GPUs, but the network that connects them, the reliability that keeps long jobs alive, the serving layer that sets your cost per frame, and the engineers who tune it all. That is what Nebius builds.
Why Leaders Choose Nebius
It shows up as a few clear advantages:
Create faster. Dedicated GPUs and a fast network compress the time it takes to train a model or push a job through the pipeline.
Jobs that finish. Infrastructure built to keep multi-thousand-GPU runs alive, so a job that takes weeks does not die overnight and cost you a day.
A co-engineering team. Nebius solution architects and ML engineers tune the cluster with you, so your artists and researchers create instead of babysitting infrastructure.
Delivery that protects your margin. Token Factory serves models at up to 70% lower cost per token and sub-200ms latency, so cost holds as your audience grows.
A neutral partner. Nebius ships no competing models and owns no
studio, so your work never trains your vendor’s roadmap.
And it is one platform from creating to delivering, so teams move from NVIDIA Hopper to Blackwell with minimal code changes.
Proof: 2 Teams Who Made the Economics Work
Recraft made creating cheaper. The team was training a 20-billion-parameter foundation model, eight times larger than comparable open alternatives, to give designers real control over image generation. The model was good. But on their initial setup, training ran eight times slower than it should have. The bottleneck was not the GPUs. It was the network fabric connecting them. Nebius engineers traced the problem to the InfiniBand configuration, tuned the cluster, and unlocked a four times gain in network throughput. Training sped up roughly six times. Recraft V4 went on to serve more than 350 million images and won over 50% preference on PartiPrompts, the benchmark designers trust.
Higgsfield made delivering cheaper. The team trained SOL 2.0, a large-scale video diffusion model, on Nebius NVIDIA Blackwell B300s. It led on realism and character consistency. But serving it at production scale, feeding
feature-length film and ad campaigns, made the cost per frame unsustainable. Their answer was not a smaller model. It was smarter inference. Working with Nebius as a co-engineer, they used distillation to cut inference time roughly 20 times, which made the model about 20 times cheaper to serve while holding the quality that won the work. Higgsfield CEO Alex Mashrabov put it simply: “In larger organizations, you never know who is responsible for what. I’ve never had that issue with Nebius.”
Come Find Us at SIGGRAPH 2026, Booth 540
If you are creating or delivering AI media that pushes past what is possible today, the economics decide whether it ships. That is the conversation we want to have at SIGGRAPH 2026.
Find the Nebius team at Booth 540 and bring your hardest infrastructure problem: The render that will not keep up, the training run that stalls, the inference bill that breaks the project, or the workflow you cannot make work yet. The same architects and ML engineers who tuned the clusters behind Recraft and Higgsfield will sit down and work the math on your actual workload.
Connect with us at Booth 540, SIGGRAPH 2026, Los Angeles, 19-23 July. Or start the conversation now at nebius.com.
