SwiftStack Blog

SwiftStack Data Platform for AI

The SwiftStack Data Platform for AI is a transformational announcement for the Accelerated Computing market and builds upon our “World’s 1st Multi-cloud AI/ML Data Management Solution” announcement at NVIDIA’s GPU Technology Conference in March earlier this year.   Accelerated Computing Market Transitions Consider the transitions that have happened in this market even in the small […]

Do I need All-Flash Storage for AI/DL? – Part 2

Architecting large-scale Artificial Intelligence/Deep Learning data pipelines In part 1 of this series https://bit.ly/2Taw9WH we discussed how Artificial Intelligence/Deep Learning applications and workflows are inherently different from traditional file-based applications. In this post we will examine what alternatives are available to customers, and why SwiftStack is uniquely positioned to meet these requirements. Is the current […]

Do I need All-Flash Storage for AI/DL? – Part 1

Architecting large-scale Artificial Intelligence/Deep Learning data pipelines Businesses adopting AI/DL data pipelines for Computer vision, Natural language processing / understanding (NLP /NLU), Anomaly detection, often ask me how to best architect these environments. To answer this, let’s analyze these use cases, and their requirements. Deep learning applications are inherently different from traditional applications The accelerated […]

How I Used pico swiftstack to Test TensorFlow with S3 Storage

A few weeks ago, I put together a tutorial on how to get S3 data into TensorFlow and I used pico swiftstack as an example data source. This article goes into a little more detail about what pico swiftstack is and how I used it to quickly test the S3 API. First off, pico swiftstack […]

Tutorial: Loading Data into TensorFlow via S3 API

Github Gist/Google Colab Link When I was looking for code examples of loading data into TensorFlow via the S3 API, the results were pretty sparse (with lots of questions about various error messages).  I thought to myself, “someone should really write a tutorial on using S3 data in TensorFlow!” Then, I realized that someone was […]

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 […]