Is your Data Strategy ready for AI in the Cloud?
Find Out
The Challenge
In a recent survey, 35% of enterprises cited data management as the primary infrastructure challenge holding back their AI initiatives.
Costly GPU Infrastructure
Legacy data management slows AI data pipelines leaving GPU infrastructure idle, starved for data.
Legacy data architectures
Performance and scale limitations, cause project delays, high costs, and reduced developer productivity.
The Solution
Discover how to unlock the full potential of your AI and HPC projects in the cloud.
The Gorilla Guide to High Performance Data in the Cloud reveals the missing piece in cloud infrastructure that’s holding back your AI initiatives. Learn how innovative storage solutions can dramatically improve your GPU utilization, slash epoch times, and boost developer productivity. Don’t let outdated storage architectures bottleneck your cutting-edge AI – download our whitepaper now and join the data revolution.
“When we switched to WEKA Converged Mode, we got 15 times more cloud storage capacity at about 80% of the previous cost.”
Outcomes with WEKA
The Enterprise Strategy Group (ESG) recently looked at how organizations use the WEKA Data Platform to transform their AI infrastructure and unleash the power of their data. Here’s what they found:
10x
Up to 10x increase in performance for storage-based applications.
38%
An average of 38% savings on cloud costs annually
64%
A 64% reduction in staff hours dedicated to data-based operations.
