SwiftStack has unveiled a new edge-to-core-to-cloud solution that supports large-scale Artificial Intelligence/Machine and Deep Learning (AI/ML) workflows. The multi-cloud data company specifies impressive storage parallelism and throughput for use cases such as ingest, training and inferencing; scale-out global namespaces; data services including tagging, search, and metadata management to support AI/ML workflows; and those who need Kubernetes and TensorFlow support.
SwiftStack has unveiled a new edge-to-core-to-cloud solution that supports large-scale Artificial Intelligence/Machine and Deep Learning (AI/ML) workflows. The multi-cloud data company specifies impressive storage parallelism and throughput for use cases such as ingest, training and inferencing; scale-out global namespaces; data services including tagging, search, and metadata management to support AI/ML workflows; and those who need Kubernetes and TensorFlow support.
This SwiftStack solution extends to public clouds to leverage cloud-bursting and “economies of scale,” ensuring that on-site data is safe and secure. It also integrates SwiftStack with Valohai’s deep learning platform-as-a-service, which provides machine orchestration, version control, and AI/ML pipeline management.
SwiftStack will be demonstrating this solution at GTC 2019 (the Deep Learning & AI Conference) in San Jose at the McEnery Convention Center (booth #423).
SwiftStack Artificial Intelligence/Machine and Deep Learning
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