AIEEV Customer Case Study: ConnectBrick

AirCloud Customer Success Story: ConnectBrick

Discover how ConnectBrick, a leading image generation AI company, optimized both GPU infrastructure costs and reliability—based on their real experience with AirCloud.

ConnectBrick provides an AI-powered solution for generating custom background images and is recognized as a leader in Korea’s generative AI sector. In this interview, you’ll hear the inside story of how this AI startup, faced with the challenge of optimizing GPU server costs, solved their pain points with AIEEV’s AirCloud, achieving an impressive 80 percent cost reduction.

Q. Please introduce yourself.

Hello, my name is Sunjae Hwang, and I’m the CTO of ConnectBrick. We were founded in 2021 and specialize in AI-powered image generation.

Our technology extracts visual features from text and generates customized images through tailored models. Recently, with Jector Studio, we began supporting small business owners in their marketing activities, enabling anyone to quickly create high-quality marketing images.

As we launched new services, our biggest challenge became optimizing our cloud GPU resources. GPU resources are critical for AI image generation, but it was very difficult to build an infrastructure that was both high-performance and cost-efficient. With AirCloud, we were able to reduce costs by 80 percent compared to our previous services. AirCloud also solved performance bottlenecks during peak demand.

Q. What issues did you face with your previous GPU infrastructure?

There were two main problems. First, it was very difficult to predict our costs. With new services, it was almost impossible to accurately forecast usage. We considered expanding capacity and renting more GPUs from our existing cloud provider, but the cost per unit made us hesitate.

Second, with our previous provider, we couldn’t accurately monitor VRAM usage. This meant we could only auto-scale based on CPU, which sometimes led to service delays.

Q. Why did you choose AirCloud?

We reviewed several GPU cloud services, and AirCloud’s precise auto-scaling was the most attractive feature. Previously, we had to keep GPU servers running all the time, which meant unnecessary fixed costs. With AirCloud, GPU resources automatically scale up or down based on actual demand, so we only pay for what we use, which significantly reduced our expenses.

Another thing that impressed us was the performance. In our own testing, AirCloud’s RTX 4090 environment delivered a single image generation time of just 18.17 seconds, compared to 47.46 seconds on the L4 instances of our previous provider—over 2.6 times faster. Even during heavy traffic, container-based instances are created quickly, ensuring that service quality remains stable in real time.

Q. What was the most memorable moment after adopting AirCloud?

Our satisfaction has only grown over time. The biggest benefit was cutting our cloud costs by 80 percent. Recently, as we launched Jector.ai, our new AI-powered ad creation solution, media exposure drove a rapid increase in demand.

In the past, traffic spikes led to slow scaling and delayed user responses. After adopting AirCloud, our average response time improved to under five seconds, and now we can focus on AI model development without worrying about infrastructure issues.

Q. What special benefits does AirCloud offer?

First, we were able to test AirCloud with a two-week Proof of Concept free trial using our actual workloads. During this period, we also received cloud cost consulting, allowing us to model how much we could save compared to our previous setup.

After the PoC, we received up to six months of a 50 percent discount, which significantly reduced the initial cost of migration. For AI startups, this kind of support during the infrastructure build-out phase is extremely valuable.

One more thing we appreciated was being assigned a dedicated account manager who continuously managed our cloud infrastructure and responded quickly to any operational issues.

Q. What types of startups would benefit most from AirCloud?

I highly recommend AirCloud to any AI startup building infrastructure. If GPU server rental costs are holding you back from launching or scaling an AI service, AirCloud can dramatically lower your initial investment.

For teams like ours—running image generation, vision AI, or machine learning model serving—auto-scaling enables both cost efficiency and strong performance.

It’s also a great fit for services with fluctuating traffic, or for teams that want to focus on product development instead of infrastructure management. If stability is important for government-supported projects or B2B collaborations, AirCloud offers a real competitive edge.

Are you struggling with GPU infrastructure costs? Like ConnectBrick, you can achieve both cost savings and service reliability with AirCloud. Contact us for a free consultation and discover exclusive benefits for startups.

💡 Are you concerned about GPU infrastructure cost optimization? If you want to achieve both cost reduction and stability like ConnectBrick, apply for AirCloud free consultation. Complete a simple form in under 1 minute and receive special benefits.

🎁 Benefits You Can Start With Now

1️⃣ 2-week PoC Free + Cloud Cost Consulting

2️⃣ Up to 6 months 50% discount upon PoC completion

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