SwiftStack Blog

SwiftStack to present Edge-to-Core-Cloud pipelines for Autonomous vehicles at 3rd Global AI conference, Seattle

According to Amita Potnis, IDC Research Director, Platform and Technologies group, “Infrastructure challenges are the primary inhibitor for broader adoption of AI/ML workflows. SwiftStack’s multi-cloud data management solution is the first of its kind in the industry and effectively handles storage I/O challenges faced by edge-to-core-to-cloud, large-scale AI/ML data pipelines.” Over the last several months, […]

I am AI

GTC 2019 – Nvidia, the datacenter company, and the role of data I am AI – Protector, Guardian, Navigator, Scientist, Healer, Composer – Nvidia’s CEO Jensen Huang started his keynote, highlighting the pervasiveness of Artificial Intelligence and Deep Learning in our lives, work and play. It was a marathon of a keynote and clearly established […]

SwiftStack has arrived, and arrived big time, in the AI arena!

SwiftStack is staking its claim, working collaboratively with our customers and helping solve scale challenges with their distributed AI/ML pipelines.   Over the last several months, SwiftStack has been busy helping two large autonomous vehicle customers.These data pipelines are distributed across edge (vehicle sensors) to core (data center) to cloud/multi-cloud locations, and are challenged with […]

Parallel Workloads for AI, Machine Learning? Meet your Scale-Out Storage Cousin

Having been in the storage industry for many years, I am amazed at the opportunity that data has in shaping business transformation – Want to build and monetize new business models? Glean predictive insights? Enable competitive differentiation?  I’d like to share some thoughts that I’m seeing shape this dynamic space. Also, if you are going […]

Harnessing the Power of Metadata in a Multi-Cloud World (Part 1) By Ted Butler & Chris Nelson

Metadata Life Cycle Organizations of today can easily generate and persist large amounts of data, but this does not come without a challenge:  The question, “How can we store all of this data?” has been replaced with, “How can we derive value from all of this data?”  Without a logical way to locate something or […]