How Glam Labs Powers Viral AI Video Effects with RunPod

Going viral isn’t luck—it’s infrastructure.

Glam is a fast-moving AI app designed for one thing: helping people create bold, trend-setting content that stands out online. From anime and cartoon filters to first-ever digital fashion effects for video, Glam is where users go to experiment, express, and explode across platforms.

Behind the seamless experience is a stack that has to scale with internet speed. When a new filter drops or a style trend takes off, demand can spike overnight. For Glam Labs, delivering that kind of real-time creativity meant finding infrastructure that could move as fast as their users—and never get in the way.

The Challenge: Creative Momentum, Bottlenecked by Cold Starts

In the early stages, Glam Labs ran inference on AWS SageMaker—but that came with some hard trade-offs.

“We probably spent thousands of dollars per day on SageMaker,” the team shared. “With slow startup times and compute that couldn’t idle efficiently, it became unsustainable.”

For Glam Labs, the cold starts were just too slow to support their users’ expectations. In a world where one tap should deliver an anime transformation or latex video outfit in seconds, any delay kills the vibe.

What they needed wasn’t just cloud GPUs—they needed cloud GPUs that could keep up with culture.

The Switch: RunPod’s Infrastructure for Real-Time Creativity

That’s when Glam Labs made the switch to RunPod.

“We migrated quickly to RunPod, and all those problems were solved.”

RunPod's Serverless endpoints delivered the speed, flexibility, and affordability they needed. Cold starts were faster. Costs dropped. And crucially, RunPod’s endpoints still supported scale-to-zero, but without the delay.

Now, whether a user is applying fire filters, AI outfits, or stylized edits with a single upload, the backend just works—and works fast.

The Results: Scaling for the Viral Moment

“After migration, we were able to cut down our server costs from thousands of dollars per day to only hundreds,” the team said. “Your endpoints can scale down to zero and scale up without a long delay time.”

That means Glam Labs can move quickly, experiment often, and handle spikes in traffic when something hits. Their team isn’t worrying about infrastructure anymore—they’re focusing on dropping new AI styles, updating the app 3–4 times a week, and making sure their users are the first to try what’s next.

RunPod enables the pace. Glam drives the trend.

Looking Ahead: Built to Catch the Next Wave

With over 200 filters, AI video fashion, and multi-result outputs that give users 10 stylized edits from a single upload, Glam is built for experimentation—and attention.

RunPod supports the infrastructure that helps Glam go viral again and again. Whether it’s powering a coat of digital sparkles or a neon anime transition, this partnership is about keeping the creative engine moving without interruption.

In the words of the Glam team: you don’t follow trends—you create them. And now, they’ve got infrastructure that’s just as bold.