Distribute training workloads across several containers instantly.
Grant™ uses Kubernetes and Docker containers for a self-contained, scalable, configuration driven infrastructure that can be deployed or replicated infinitely on-premise or externally through Azure, GovCloud or MilCloud.
Gain real-time insights on your ML compute cluster performance through easy-to-use statistics and monitoring dashboards.
Whether operated on-premise, in-cloud, closed network, or internet connected, Grant™ guarantees the expected results. Achieve full AI autonomy in any environment and any use case.
Achieve faster model training through parallelized transfer learning strategies. Harness asynchronous compute power from multiple container instances and achieve exponential growth in Federal ML operations.
Harness the power of the nation's first full-stack AI company from data labeling to modeling.
Accelerate machine learning and deep learning in a trusted and transparent way.
Work with the nation's best annotators and orchestrate active learning.
Create ground truth 10x faster.