A surge of users for Undetectable.ai

Undetectable.ai is on a mission to solve one of the most pressing challenges in the era of large language models (LLMs): accurately detecting AI-generated content and seamlessly “humanizing” it so that it remains indistinguishable from natural human writing. In just a matter of months, Undetectable.ai skyrocketed from an idea around accurate AI detection to 14 million+ signups, serving both individuals and enterprises worldwide. Students worried about getting flagged for AI content turned to the Humanizer for rewriting their legitimate essays. Marketing agencies, churning out blogs and ad copy, used it to keep that “authentic human tone.” Even entire content-writing businesses popped up around the Undetectable.ai API.

What began with a single product vision — an AI detector — quickly evolved into a two-pronged solution:

1. AI Detection  – A free model capable of reliably distinguishing AI-generated text from human-written text.
2. AI Humanizer – A system that takes AI-generated text and transforms it to appear indistinguishable from human writing, bypassing leading AI detectors.

Both tools are powered by a highly custom, manually-created dataset with 10s of 1000s of samples in multiple languages, delivering premium accuracy and humanization. 

Scaling Compute – But at what cost? 

As undetectable.ai grew in popularity, Ben Miller, COO of Undetectable.ai, was wrestling with a problem that could make or break the startup:

• How to handle hundreds of thousands of queries per day – sometimes per hour – without slamming into sky-high GPU bills or running out of hardware capacity?

These queries weren’t trivial text in/out requests; they involved inference on specialized models requiring significant VRAM. 

To achieve this at scale, Undetectable.ai needed fast, cost-efficient, and highly adaptable GPU infrastructure – enter SaladCloud. 

The problem with hyperscalers and high-end GPUs

Ben and team looked into the usual suspects: big cloud providers offering A100 or H100 GPUs with impressive performance – but equally jaw-dropping price tags. If they stayed on that path, Undetectable.ai would pay tens of thousands of dollars a month, maybe hundreds of thousands as traffic kept soaring. As a lean startup, they couldn’t sink all their resources into GPU fees.

“Some of the A100 providers wanted a committed contract. Our business being cyclical, this was not ideal”, adds Ben. 

Meanwhile, the need for a flexible infrastructure kept growing. The usage spiked dramatically before midterm exams at universities and peaked again when marketing campaigns ramped up at end-of-quarter cycles. One day they’d need 20 GPUs, the next day maybe 300.

“As we scaled, we had to find the most cost effective, scalable way for us to get good GPUs. That’s how I found SaladCloud” – Ben Miller

Testing deployment on SaladCloud’s consumer GPUs

Instead of paying for pricey, high-end datacenter GPUs, Undetectable tapped into thousands of consumer GPUs on SaladCloud. There were immediate benefits.

1. Cost: Although consumer GPUs might run each inference slightly slower than an A100, the cost was 10–40x cheaper.
2. Scalability: The Salad network, spread across hundreds of thousands of user devices, meant Undetectable.ai could scale capacity almost instantly when needed. 
3. Support: SaladCloud’s core team provided hands-on help to integrate Undetectable.ai’s custom LLM-based models.

Ben adds, “I was attracted to this idea of a massive cloud with thousands of GPUs while we were struggling to get a single A100 on. It takes a week to get response from support on the hyperscalers while SaladCloud’s team was incredibly responsive”. 

Saving $50k-$80k a month on SaladCloud

As the numbers made sense, Undetectable.ai switched to SaladCloud. Almost overnight, they spun up the capacity to handle hundreds of thousands of queries per day – with compute nodes peppered across the entire planet.

• Performance Tuning: The technical team settled on GPUs from across SaladCloud’s range for inference. 
• Autoscaling on the Horizon: With SaladCloud’s API, Undetectable.ai could soon scale up or down on demand. If traffic quadrupled in 48 hours, they’d simply spin up more GPUs without waiting. 

Ensuring AI content stays human

At its core, Undetectable.ai’s story is about pushing the boundaries of LLM usage. This year alone, the team is introducing 20-30 innovative products, including the AI Essay Writer, which helps students refine their essays, and the AI Job Application Bot, designed to automate the job search process, helping professionals save time and increase their chances of securing their next position. Alongside these advancements, Undetectable.ai is also onboarding a growing number of enterprise customers, solidifying its role as a leader in humanizing AI-generated content. With AI ensuring humans can create massive amounts of content in minutes, tools like Undetectable are ensuring the digital world doesn’t become polluted by robotic, emotion-less content. 

Undetectable.ai’s partnership with SaladCloud showcases the power of leveraging consumer-grade GPU clouds for demanding AI workloads. By placing cost efficiency and scalability at the forefront, Undetectable.ai now processes hundreds of thousands of queries daily, meeting the needs of marketers, students, educators, and content creators—all without compromising model accuracy or user experience.

For AI companies deploying large language models (LLMs) at scale, Undetectable.ai’s story is a testament to thinking beyond the conventional (and often prohibitively expensive) approach of enterprise GPUs. With SaladCloud, they’ve unlocked a massive, globally distributed network of GPUs—capable of powering advanced AI solutions at a fraction of the cost.

SaladCloud

SaladCloud is the world’s largest distributed cloud computing network with 11,000+ daily GPUs and 450,000 GPUs contributing compute, all at the lowest cost in the market.