OptScale Demo

How to build a FinOps & MLOps process to optimize cloud workload performance and cost

Join us to discover the difference between FinOps and Cloud Cost Management, which saving recommendations have the biggest impact, how to avoid bill shocks, and how MLOps helps increase the efficiency of ML experiments.

You will see how OptScale empowers you to run ML/AI or any type of workload with optimal performance and infrastructure cost.

Don’t miss out!

Wednesday, September 27
10 am PST

Edwin-Alexander Kuss, Head of Globals Sales at Hystax

During our 45-min Hystax OptScale Group Demo, Edwin-Alexander Kuss, Director of Global Sales at Hystax, will show you how OptScale, an open source FinOps and MLOps platform, can be used for:

Providing complete cloud resource usage and cost transparency
Delivering cost and performance optimization recommendations
Anomaly detection and extensive functionality to avoid budget overruns
Getting lots of MLOps capabilities like ML model leaderboards, performance bottleneck identification and optimization, bulk run of ML/AI experiments using Spot and Reserved Instances, experiment tracking
Instrument any PaaS or external SaaS service
Control performance, and cost for every application or ML/AI experiment at a single pane of glass

We will also schedule some time for a Q&A session to ensure we answer all of your questions.

Looking forward to e-meeting you there!