For data scientists and analysts in shared, high-security environments who require:
Dedicated computing resources without the financial burden of maintaining permanent infrastructure
Absolute data privacy and robust security controls within a shared, multi-user environment
The ability to bring compute environments “up and down” instantly without waiting for administrative intervention
The Analytic Gymnasium empowers users to quickly spawn dedicated resources (Spark and Jupyter clusters, for example) in a Kubernetes-backed environment. It eliminates the resource contention, operational overhead, and security concerns associated with commingling analysis data in a shared environment for users with varying levels of access. Analytic Gymnasium is perfect for customers who don’t want to use the cloud, can’t use the cloud, or want to leverage on-premises hardware they already have.
Unlike traditional shared clusters that lead to resource contention and the risks associated with commingling analysis data, Analytic Gymnasium eliminates security concerns, maximizes hardware utilization, and ensures that all computation and results remain private to the individual user.
Dark Wolf delivers enterprise-grade Big Data and Data Science environments engineered to meet the rigorous demands of the Intelligence Community and accredited for the most sensitive compartments. To empower advanced analysis, we provide an integrated Data Science Environment including the Analytic Gymnasium that features AI model engines, Spark clusters, Trino, and Jupyter, supporting a user base of thousands who execute over 80,000 mission-critical searches weekly.
Dark Wolf’s Private, Ephemeral Compute Environment
