Frequently Asked Questions
Have a question about MLMind? We’ve compiled some of the most common queries below. If you still need help, get in touch.
Common Questions
How do you establish a cost baseline?
We run alongside your existing workloads for 7–14 days without intervening. During this period we collect metrics on run duration, GPU utilisation, memory usage and artifacts. This baseline forms the reference point for calculating savings.
What if my usage grows or changes?
Our algorithms normalise baseline spend for growth. We adjust for new workloads and seasonal variations so that savings reflect operational efficiency, not reductions in activity. If your total bill grows, you still benefit from a lower waste percentage.
What happens if there are no savings?
Then you pay nothing. Our pay‑as‑you‑save model means you owe us only when we deliver measurable reductions relative to your baseline. There are no subscriptions or hidden fees.
Will MLMind stop my jobs?
Only if you want it to. Guard can operate in warn, stop or block modes. You can enable dry‑run mode to see what would be stopped without actually terminating runs. You maintain full control over which pipelines are guarded and the thresholds applied.
Can I deploy MLMind inside my VPC?
Yes. Our platform runs as containers inside your Kubernetes cluster. All data stays within your VPC and you can integrate with your IAM, network policies and secret management tools.
Does MLMind support multi‑cloud?
Absolutely. We support AWS, Azure and Google Cloud, unifying cost and utilisation metrics across providers. You can manage all your AI workloads from a single dashboard and apply guard policies consistently.
How long does it take to see results?
You can be up and running in under an hour. After the baseline period, savings can begin immediately once Guard is activated. Many customers see meaningful reductions within the first month.
How do you calculate the 10% fee?
We multiply the realised savings (baseline spend minus optimised spend, adjusted for growth) by 10%. This fee is invoiced monthly or quarterly along with a detailed report showing the savings computation. There are no surprises – you pay only for performance.
Still Have Questions?
Our team would love to chat. Reach out and we’ll provide tailored answers and a free analysis of your AI workloads.