Scaling GPU-Heavy AI Workloads with Automated Cloud Cost Optimization • Archera
Floyo Scales GPU-Heavy AI Workloads with Automated Cloud Cost Optimization from Archera
For Floyo, cloud cost savings had to match the pace of creative innovation. Archera made it possible.
Floyo is a browser-based platform built to help teams & enterprises collaborate and run production-grade AI workflows for creative projects, including image and video generation. As a fast-moving startup building tools for technical artists and creators, Floyo’s infrastructure needs were rapidly evolving. That meant high-performance GPUs, dynamic scaling, and frequent experimentation with new models.
But their manual approach to cloud cost management couldn’t keep up — until they adopted Archera.
The Challenge: Manual FinOps and Rigid Reservations Slowed Innovation
Before Archera, Floyo relied on manual commitment management through AWS Savings Plans and Reserved Instances. While this approach offered baseline savings, it came with steep trade-offs:
- Significant time spent forecasting usage and adjusting commitments
- Difficulty upgrading to newer, better GPU instance types (like H100s and L40s)
- Limited flexibility to respond to evolving performance needs
"Reserved Instances became a constraint as our infrastructure evolved. Selling or modifying them was slow and inefficient." - Ashish Gupta, Head of AI Infrastructure at Floyo
As an AI startup without years of historical usage data, forecasting accurately was difficult. Any misstep in commitment strategy meant wasted spend - or worse -blocked technical progress.
The Solution: Archera’s Automated FinOps Platform
After inheriting the Archera account, Floyo quickly saw that the platform wasn’t just useful - it was essential.
"Archera proved its value early with its low-maintenance, highly automated approach to cloud cost optimization." - Ashish Gupta, Head of AI Infrastructure at Floyo
Instead of manually monitoring usage and tweaking commitments, Floyo now relies on Archera’s automated platform to:
- Adjust Savings Plan commitments based on real-time usage
- Resell underutilized commitments quickly through Archera’s GRI marketplace
- Track savings and utilization with dashboards like Commitment Inventory and Planner
- Make infrastructure decisions quickly without lengthy cross-team planning
"The flexibility to resell and reallocate commitments quickly was huge for us. What used to require manual planning is now hands-off." - Ashish, Head of AI Infrastructure
The Outcome: Faster Scaling, Lower Risk, Zero Headaches
By shifting to Archera, Floyo has significantly reduced the time and effort required to manage cloud costs, all while achieving meaningful savings.
Key outcomes include:
- Hands-off cost optimization across GPU-intensive AI workloads
- Faster infrastructure decisions with less risk and fewer blockers
- Reduced coordination overhead between engineering, product, and finance
- Greater visibility into commitment performance and platform savings
"Teams no longer have to worry about over-committing or being stuck on the wrong instance types. It’s simplified our FinOps workflows tremendously." - Ashish Gupta, Head of AI Infrastructure at Floyo
With consistent cost savings and a seamless experience from the start, Archera has become a foundational part of how Floyo scales - both technically and financially.
What’s Next: Scaling Further Without Losing Flexibility
As Floyo explores new GPU options and continues to build for professional creative teams, Archera remains a critical part of their operations.
"The automation and flexibility it provides have saved us time, reduced risk, and allowed our team to stay focused on building."- Ashish Gupta, Head of AI Infrastructure at Floyo
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