GPU CHARGEBACK
Turn GPU costs into a strategic advantage.
Surface precise usage data across every environment and workload.
You can’t govern what you can’t see
GPU usage is growing fast and so are the financial blind spots. Mavvrik’s GPU Chargeback puts you in control with multi-dimensional visibility, automated attribution, and intelligent cost recovery— across cloud, on-prem, or hybrid stacks.
No more manual tracking. No more wasted spend. Just data-driven financial governance from day one.
Track costs across all GPU dimensions
Centralized visibility with granular metrics across time, memory, and compute usage.
Make every team accountable for their GPU spend
Automates chargeback and allocation so departments, customers, or services have ownership over their true consumption and associated costs.
Eliminate manual cost tracking workflows
Stop wasting time stitching together logs and spreadsheets. Mavvrik integrates with Kubernetes and GPU sharing technologies to automate chargeback and reporting at scale.
Model and manage cost to serve
Capture the full value of what you deliver by tracking every dimension of GPU consumption and automating billing down to the customer level.
Centralize, monitor, and optimize usage across all environments
Anomaly detection
Spot unusual activity instantly. Act before cost escalates.
Cost allocation
Attribute spend to teams, customers, models, or services with precision.
Forecasting
Model future costs based on actual usage and growth trends.
Chargeback
Automate billing across business units, products, or external clients.
Virtual tagging
Track resources even when native tags are missing or incomplete.
Perspectives
Slice cost data by any lens – feature, use case, customer, or outcome.
Mavvrik gave us a clear, consolidated view of our infrastructure spend across dozens of accounts. Instead of manually modelling costs, we get instant, data-backed recommendations that help us scale confidently without losing financial control.
Joel Miller
Director of Platform Engineering, Equinox
FAQs
Your questions, answered.
What is GPU Chargeback and why is it so difficult?
GPU chargeback means attributing GPU usage back to the right customer, product, or team and recovering those costs through billing or internal allocation. The challenge is GPUs are dynamic and shared across workloads, making accurate attribution nearly impossible with cloud-native tools or spreadsheets. That’s why most companies either underbill, misallocate, or eat costs.
How does Mavvrik solve GPU chargeback?
Mavvrik tracks GPU consumption at the model, team, or tenant level and automate invoices or chargebacks in real time, turning what was once guesswork into defensible revenue.
What’s the business impact of not charging back GPU costs?
Lost revenue and hidden margin erosion. Customers can often increase revenue by 10-15% or more by eliminating underbilling with automated GPU chargeback.
Why can’t cloud-native tools handle GPU chargeback?
While cloud-native tools can show GPU usage, they don’t link it to customers, products, or features. Mavvrik builds chargeback models grounded in actual delivery economics.
NO RISK PROOF OF VALUE
Ready to take control of your AI and hybrid costs?
Get a personalized demo and discover how Mavvrik helps:
Track every dollar across cloud, on-prem, AI, and SaaS in one platform.
Eliminate surprises with real-time cost allocation, anomaly detection, and predictive forecasting.
Automate cost control with chargebacks, budget guardrails, and AI-driven insights.
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