Webinar

FinOps and cloud cost optimization for ML/AI workloads

Join us to discover how to achieve full cloud resource usage transparency across all ML/AI experiments and minimize cloud and IT infrastructure costs.

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

Don’t miss out!

Wednesday, May 7
10 am PST

Edwin-Alexander Kuss, Head of Globals Sales at Hystax

During our 45-min webinar, 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:

ML/AI model training profiling and a deep analysis of inside and outside metrics
Control performance, and cost for every application or ML/AI experiment at a single pane of glass
Anomaly detection and extensive functionality to avoid budget overruns
Delivering dozens of tangible recommendations, including utilizing Reserved/Spot instances and Savings Plans, VM rightsizing, and instance family migration, help to achieve minimal cloud cost for ML/AI experiments and development
Instrument PaaS or external SaaS services, including S3, Redshift, BigQuery, Databricks, or Snowflake API calls

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!