EnvoCenter

Landing Page
Dashboard Page for Calculations of user with history
Create Calculation
Batch Calculation (Create calculation in bulk)
Dashboard for calculation of Enviormental Impact Page 1
Dashboard for calculation of Enviormental Impact Page 2
Dashboard for calculation of Enviormental Impact Page 3
Dashboard for calculation of Enviormental Impact Page 4
AI analysis of Environment Impact Report Page 5
Compare Calculations

Inspiration

The rapid growth of AI and GPU infrastructure is increasing energy consumption, water usage, heat generation, and carbon emissions. We wanted to build a platform that makes these environmental impacts easier to understand and compare, helping users make more informed infrastructure decisions.

What it does

EnvoCenter estimates the environmental impact of GPU infrastructure by calculating energy consumption, heat generation, water usage, and CO₂ emissions. Users can compare different infrastructure configurations and use AI-powered analysis to understand the results and identify more sustainable alternatives.

How we built it

We built EnvoCenter with a modern full-stack architecture. The frontend uses Next.js, TypeScript, and Tailwind CSS, while the backend provides APIs for environmental calculations and AI-powered analysis. We created GPU-specific calculations based on factors such as GPU model, GPU count, facility area, usage hours, and renewable energy percentage, and integrated AI to turn the calculated data into actionable insights.

Challenges we ran into

One of our biggest challenges was converting complex infrastructure and environmental parameters into meaningful calculations while keeping the results consistent and understandable. We also had to design APIs that could handle different GPU configurations, integrate AI analysis with calculated results, and build a responsive interface that presents technical environmental data clearly.

Accomplishments that we're proud of

We are proud of building an end-to-end platform that connects GPU infrastructure data → environmental calculations → comparison → AI-powered analysis in one workflow. We also created a system that allows users to compare two infrastructure configurations and understand how changes in GPU usage and renewable energy can affect their environmental footprint.

What we learned

We learned how different infrastructure parameters can significantly affect environmental impact and gained practical experience in building calculation-driven APIs, integrating AI into an existing data pipeline, and designing interfaces for complex technical information. We also learned how to turn raw numerical results into insights that are easier for users to understand.

What's next for EnvoCenter

We want to expand EnvoCenter with more GPU and data-center configurations, real-time environmental data, improved sustainability recommendations, historical tracking, and more advanced AI analysis. Our goal is to evolve EnvoCenter from an environmental calculator into a broader decision-support platform for sustainable AI infrastructure.