CASE STUDY: How WekaIO Delivered High Performance and Best Cost for kdb+ on AWS

How To Shorten Deep Learning Training Times

The AI workflow is the production line for deep learning (DL) model development and…

Storage for AI: There is a Sea Change Sweeping Across the Field

This blog from the desk of WekaIO CTO, Andy Watson:

Storage for AI in 2019

Why NFS Performance Won’t Cut it For AI and Machine Learning

IBM Spectrum Scale on IO-500–12x the memory, 3x NVMe storage, 5% faster

Storage performance is critical for large-scale simulation, big data analysis, and artificial intelligence (AI). The IO-500 list serves as a resource for companies looking to improve their storage…

WekaIO is awarded Gartner Cool Vendor in storage technologies

It’s hard to believe it has been less than a year ago that WekaIO appeared on the storage scene. With the level of inbound enquiries we receive every week from all over the world, the news has spread fast that WekaIO is the…

Architectural Considerations for AI Workloads in Technical Computing

Is Public Cloud or On-Premises Right for Your IT Infrastructure?

Do you feel like you are in a constant tug-of-war between vendors trying to convince you that their public cloud is the best solution or vice versa, that on-premises is the way to go? Truth be told, there is no one…

Why We Won the AIconics award for Best Innovation in Machine Learning

For the Want of a Nail — Part 2: Aligning Data Center Storage with The Needs of AI Workloads

As I discussed in my previous blog, Artificial Intelligence (AI) fundamentally changes business processes and provides potentially life altering results by unleashing the…