Home AdExchanger Talks From Hype To Hyperscale In AI

From Hype To Hyperscale In AI

SHARE:
Ikkjin Ahn, CEO & co-founder, Moloco

Nearly every ad tech company is out there promising some form of AI-powered magic. The vendor landscape is turning into a sea of sameness.

So what’s worthwhile and what’s worth chucking in the bin?

The best way to separate AI hype from reality is to roll up your sleeves and try out the tech for yourself, says Ikkjin Ahn, CEO and co-founder of machine learning-based ad tech startup Moloco, on this week’s episode of AdExchanger Talks.

It’s like watching a movie, he says. How do you know if it’s good before you even try it?

But there are certain elements that separate serious contenders from the rest of the pack, he says, and one of the biggest is the ability to perform at massive scale.

You can build “toy examples” very easily with generative AI, Ahn says, but “the key differentiator is how much you can feed the volume, how much scale you can achieve.”

That’s where AI hyperscale comes in, which involves running AI on huge, cloud-style infrastructure. It’s a mix of ultra-fast hardware and optimized software that’s been trained to power AI models faster and more efficiently than regular computers.

Moloco uses AI Hypercomputer, which is Google’s branded end-to-end supercomputing stack. It runs on Google Cloud and allows Moloco to process billions of requests a day at 10x speed and relatively low cost.

Online advertising is evolving from a reliance on carefully engineered features and audience segments to harnessing the power of these “foundational models” that can learn from huge volumes of raw data, Ahn says.

It’s a process, though.

While generative AI models are currently pretty good at answering questions, most are way too slow and expensive to meet the needs of real-time advertising, he says, which demands more powerful models that can operate instantly and affordably.

“Think about how long it takes to get an answer from ChatGPT,” Ahn says. “If your recommendation or sponsored search ad is taking three seconds, I mean, that’s a problem. And if any ad tech companies say, ‘Hey, I’ll burn like, what, $3 billion per quarter – that is not an answer, right?”

Also in this episode: How Moloco started its DSP business using Google’s display ad network as a test bed, how AI can help democratize commerce media beyond giants like Amazon and the role of creative automation in streamlining digital ad production.

For more articles featuring Ikkjin Ahn, click here.

Must Read

AdExchanger Senior Editors Anthony Vargas and Alyssa Boyle.

POSSIBLE 2026: AdExchanger's Hot Takes

AdExchanger Senior Editors Alyssa Boyle and Anthony Vargas share their takeaways from three days chatting about agentic AI at POSSIBLE.

Reddit Reports A 75% Boost In Q1 Ad Revenue As It Reaches For 100 Million Daily US Users

Generative AI search has pushed traffic off a cliff across most of the internet, but not on social platforms. Reddit included.

POSSIBLE 2026: Can AI Help Agencies Finally Break Down Those Silos?

Domenic Venuto, indie agency Horizon Media’s chief product and data officer, sat down with AdExchanger during POSSIBLE at the Fontainebleau in Miami to unpack the role of AI in today’s media and advertising landscape.

Privacy! Commerce! Connected TV! Read all about it. Subscribe to AdExchanger Newsletters

Google Touts Its AI Ad Tech Adoption And New AI Max Features

Google announced new features and ad types for AI Max, its AI-based bidding product for search and shopping or sponsored product ads. The company also touted “hundreds of thousands” of advertisers using AI Max.

Hand pressing blue AI button on keyboard. Digital collage of artificial intelligence interface.

Meta’s Ad Machine Is Purring, So Why Did Its Stock Drop?

Meta’s Q1 call sounded like an AI and hardware pitch, but under the hood it was still about one thing: investing in AI to squeeze more money out of its ads business.

Alphabet Exceeds $100 Billion In Q1 And Its Profits Almost Doubled

Alphabet earned $109.9 billion in Q1 this year, up from $90.2 billion a year ago. And that’s not even the truly gobsmacking number.