Managing AI GPU infrastructure is no longer just a technical challenge—it’s a financial one. That’s why Mavvrik is introducing GPU Chargeback: a smarter way to track, allocate, and control GPU spending. Enterprises and service providers can now turn uncontrolled GPU usage into strategic, cost-efficient investment.
As AI initiatives expand across enterprises, the growing investment in GPU infrastructure has created a significant financial management challenge. Whether you’re a service provider billing customers for GPU usage or an enterprise allocating costs internally, the lack of precise tracking and allocation tools leads to substantial financial waste.
Today, we’re excited to unveil Advanced GPU Chargeback, delivering complete financial control over your GPU resources.
The Hidden Economics of GPU Infrastructure
GPU resources represent one of the fastest-growing technology expenses for modern organizations. With NVIDIA H100 GPUs costing $30,000-$40,000 each, and a typical NVIDIA DGX server housing 8 H100s (representing an investment of $240,000-$320,000 per server), gaining control over these costs has become business-critical. As complex AI workloads consume significant GPU time across these expensive resources, financial visibility and control are no longer optional.
Our research with customers has uncovered two persistent challenges:
For Service Providers:
Organizations offering GPU-intensive services to customers are consistently undercharging by 10-15% due to imprecise tracking methods. This revenue leakage directly impacts the bottom line and often makes AI-powered services less profitable than they should be.
For Enterprises:
Internal teams using shared GPU infrastructure typically operate with limited financial accountability, leading to 18% of resources being wasted through inefficient usage patterns. Without proper chargeback, departments have little incentive to optimize their consumption.
Mavvrik’s Approach to GPU Chargeback
Mavvrik centralizes GPU financial control with its platform that monitors and optimizes usage across all computing environments.
Key capabilities include:
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Multi-Dimensional Tracking
- Unified visibility across cloud, on-premises, and hybrid environments
- Granular metrics including utilization, memory, model complexity, and power consumption
- Real-time monitoring of all GPU resources from a single dashboard
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Intelligent Attribution
- Automated allocation of costs to specific departments, projects, or customers
- Support for complex scenarios including shared resources and multi-tenant workloads
- Virtual tagging ensures near-100% attribution coverage
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Customizable Chargeback Models
- Flexible pricing frameworks based on multiple consumption dimensions
- Support for tiered pricing with different rates for various GPU types
- Time-based adjustments for peak vs. off-peak usage
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Streamlined Invoicing
- Automated invoice generation based on actual GPU consumption
- Detailed, transparent billing that itemizes usage by dimension
- Integration with financial systems for streamlined operations
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Kubernetes Integration
- Native support for containerized AI/ML workloads
- Deep visibility into pod-level resource consumption
- Support for GPU sharing technologies including MIG, time-slicing, and MPS
The Business Impact
Mavvrik’s GPU Chargeback delivers meaningful business impact across multiple dimensions. For service providers, the solution enables increased billable revenue through precise tracking and allocation of resources to customers. Enterprises gain enhanced GPU utilization through the accountability created by internal chargeback, effectively extending the useful life of existing infrastructure investments.
Additionally, the automated reporting capabilities free valuable engineering resources from manual tracking tasks, allowing them to focus on higher-value innovation.
As AI initiatives continue to scale, these improvements in GPU economics position organizations for greater financial efficiency and competitive advantage.
Getting Started
Implementing effective GPU chargeback doesn’t have to be complex or disruptive. Mavvrik’s approach focuses on quick time-to-value with a phased methodology:
- Assessment – We analyze your current GPU environment and identify specific opportunity areas
- Visibility – Implement tracking to establish baselines and create initial dashboards
- Automation – Configure allocation rules and reporting workflows
- Integration – Connect with financial systems and implement full chargeback
Our rapid POC takes less than two weeks, and delivers immediate value.
Learn More
Ready to transform your GPU economics?
Request a GPU Economics Assessment – Get a customized analysis of your potential impact
Don’t leave GPU revenue on the table or continue to waste valuable resources. Contact us today to learn how Mavvrik’s GPU Chargeback solution can deliver complete financial control for your AI infrastructure.