Parsimo's FinOps for AI solution empowers organizations to optimize AI infrastructure, reduce costs, and maintain peak performance.
Gain deep visibility into the costs associated with training, inference, and data processing for AI workloads.
Break down costs by model, dataset, and cloud region
Identify high-cost operations and resource inefficiencies
.png)
Maximize the performance of AI models while minimizing costs through intelligent resource management.
Optimize GPU and CPU utilization
Auto-scale resources to match workload demand
Leverage advanced techniques to streamline AI model training and inference processes.
Identify redundant training iterations and eliminate waste
Optimize hyperparameters and model architectures for efficiency
.png)
Reduce storage costs for large AI datasets without compromising data availability.
Tiered storage options for cost-effective data management
Automated data pruning to eliminate unused or outdated datasets
Predictive AI Workload Scaling
Use AI-powered analytics to predict workload demands and dynamically adjust resources.
Cost and Performance Balance
Optimize resource allocation to reduce costs without impacting model accuracy or performance.
Real-Time Insights for AI Teams
Enable data scientists and engineers to monitor costs and performance metrics directly, ensuring alignment with business goals.
Challenge
A fintech company faced skyrocketing cloud costs due to the training of multiple large language models.
Solution
By using Parsimo's FinOps for AI, they optimized GPU usage, reduced idle compute time, and streamlined data storage practices.
Result
Achieved a 40% reduction in training costs while maintaining model performance and reducing time-to-deployment.
.png)
Parsimo offers tailored services to ensure your AI workloads run efficiently and cost-effectively
AI FinOps Consulting
Create a customized strategy for managing AI workloads in the cloud.
Managed FinOps for AI
Continuous monitoring, cost optimization, and AI-specific insights.
Join leading teams using Parsimo to bring AI-driven FinOps to their Cloud, AI and GPU infrastructure with clearer costs, smarter decisions and stronger governance.
