Wallaroo.AI Launches Unique Workload Orchestration Capabilities to Boost Machine Learning Workflow Scale and Efficiency

Wallaroo.AI, the leader in scaling production machine learning (ML), has announced early access to ML Workload Orchestration features in its unified production ML platform. With this capability, automation, scheduling and execution of combined data and ML inferencing workflows across the production process are made possible. Enterprises can scale their ML workflows 5-10 times while freeing up 40% of their weekly time. The ML Workload Orchestration features allow the enterprises to be data-source agnostic, scale ML use cases, and ensure business continuity with portable ML pipelines that move from development to production. The Wallaroo.AI platform now includes support for data connections across the three major cloud data stores, namely Google Cloud, Amazon Web Services, and Microsoft Azure as well as Wallaroo SDK and Wallaroo API support. The platform also includes automation and scripting features that allow users to execute interactive and scheduled workloads across the ML production process. Ultimately, Wallaroo.AI aims to provide an easy-to-use fully integrated experience, minimizing operational overhead and bottlenecks so that enterprises can scale quickly and efficiently.