Ai Cases For
GPU Performance Optimization

Table Of Contents
Infratailors.AI
Executive Summary
Infratailors.ai, developed incollaboration with Questa Solutions, is an intelligent GPUOptimization and Recommendation Platform that enables AI-drivenorganizations to reduce cloud GPU costs, enhance model performance, andminimize energy usage. The platform’s Version 1.0.0 launch introducedautomation for AI workload monitoring and recommendation delivery, targetingmeasurable business outcomes such as 15%+ GPU cost savings, improvedinference latency, and lower carbon footprint.
Questa Solutions led both the commercialtech implementation and primarily the digital marketing enablement, creating ascalable SaaS foundation with optimized cloud infrastructure, onboardingworkflows, and automated reporting. A full-stack go-to-market campaign wasintegrated to position Infratailors.ai as an intelligent, eco-efficient AIinfrastructure optimization tool.
Problem Statement
Organizations running large-scale AI models face significant challenges managing GPU utilization, cost efficiency, and sustainability
High GPU compute costs due to suboptimal configurations and idle resource time.
Energy inefficiency leading to higher operational costs and environmental impact
Poor visibility into model performance trade-offs between cost, latency, and accuracy.
Fragmented deployment processes across cloud providers (AWS, GCP, Azure).
Limited automated insights for DevOps and data science teams to make optimization decisions.
Infratailors.ai sought to address these issues through a unified SaaS platform combining GPU workload analysis, automated recommendations, and cross-cloud deployment scripts — empowering enterprises to optimize performance while minimizing cost and carbon output.

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Solutions
Questa Solutions designed and implemented Infratailors.ai Version 1.0.0 with the following key solution pillars:
Product Architecture and Development
- Built a cloud-native SaaS architecture with modular components for onboarding, project management, and continuous monitoring.
- Integrated AI workload imports and optimization engine supporting ONNX model formats.
- Developed a recommendation engine that provides actionable configuration insights (batch size, precision mode, memory allocation, GPU selection).
- Built visual trade-off dashboards showing cost, performance, and energy balance for improved decision-making.
Scaling and Integration with Partners
Extensible Architecture: Recommendation endpoints and monitoring APIs were built for future integration with partner dashboards and ML-Ops pipelines.
Partner Enablement: Technical integration documents and 3–5 video tutorials were produced for partner DevOps teams to enable self-service deployment.
Scaling and Integration with Partners
Questa Solutions designed and implemented Infratailors.ai Version 1.0.0 with the following key solution pillars:
1.Product Architecture and Development
- Built a cloud-native SaaS architecture with modular components for onboarding, project management, and continuous monitoring.
- Integrated AI workload imports and optimization engine supporting ONNX model formats.
- Developed a recommendation engine that provides actionable configuration insights (batch size, precision mode, memory allocation, GPU selection).
- Built visual trade-off dashboards showing cost, performance, and energy balance for improved decision-making.
2. Automation and DevOps
- Implemented Terraform-based deployment scripts to automate setup across cloud environments.
- Integrated monitoring and alerting logic for performance drift and cost anomalies.
- Configured email automation via Brevo for alerts and continuous reporting.
3. User Experience & Onboarding
- Designed a 5-screen onboarding widget introducing new users to core capabilities.
- Enabled social sign-ins (Google, Apple) and secure user management with team-based permissions.
- Built admin controls for team invitations and credit-based usage (planned for V2).
4. Digital Marketing Implementation
- Created a unified brand identity for Infratailors.ai, including domain setup (infratailors.org).
- Warmed up transactional and marketing email domains.
- Developed integration-ready marketing workflows for product-led growth and cloud partner co-marketing.
Architecture Overview
- Frontend (React.js), Backend (Node.js + FastAPI)
- Authentication Module
- Inference Matching (ONNX import)
- Onboarding Widget
- Recommendation Engine (Python)
- Dashboard Visualization| Alerting & Reporting (CMS API)
- Cloud Infrastructure Layer
- (Terraform + AWS/GCP/Azure Integration)
- Data Layer: PostgreSQL, Redis Cache, and Cloud Storage
Technical Architecture
Recommendation Engine: Python-based inference profiling tool analysing GPU workload efficiency and suggesting optimal configurations.
Monitoring System: Continuous model performance tracking with alert thresholds for cost and latency drift.
Email Integration: Brevo API for automated notifications, performance reports, and marketing automation
Security and User Management: Encrypted authentication system with social login support, role-based permissions, and password recovery.
DevOps Deployment Scripts: Terraform templates for cloud provisioning and model deployment automation.