Month: September 2026
Real Time View
Richard Buckle
Thank You to Our Sponsors
The Connection
An Unexpected and Fulfilling Journey
Cindi Hailes
New to Nonstop: Join the Journey
Charlie Higgins
Don’t Let a Failover Reveal Your Data Problems
Gravic, Inc.Your recovery system is online. Replication is running, and the target database appears to be caught up. If production becomes unavailable, how do you know the data on that system is ready to support the business? Independent validation provides that assurance by proving the source and target databases match, exposing hidden discrepancies before a failover, migration, or downstream application turns them into a business-critical crisis.
Scenes from Nonstop Technology & Business Conference 2026 in Orlando Florida
The Connection
Building Vulnerability Management into HPE Nonstop Operations
XYPRO Team
Managing Application Releases with HPE Nonstop NSGit
Randall BeckerManaging releases has become increasingly complex as audit obligations and operational complexity continue to grow. Running full regression cycles across entire legacy applications is often impractical, and funding for comprehensive test automation is difficult to secure. As a result, teams need a reliable way to release small subsets of components selectively, execute partial installation scripts, and preserve evidence of origin for long-term audit history.
AI Alone Is Not Enough
Phil Ly
Beyond the Core: Connecting HPE Nonstop to What’s Next
NuWave Technologies
TCM: Where leadership counts!
TCM Marketing TeamIn business, what makes technical companies successful, is their ability to understand directions, goals and the necessity for discipline and teamwork. In confidence the managers will tell you that their company is a source of joy in that their success has come about because of the company’s understanding of what its employees can do, and how well they can perform given tasks. Perhaps most important of all, it comes down to leadership ensuring there is clarity behind every decision taken.
Why High GPU Allocation Does Not Mean High Utilization in AI Clusters
Ed WarnerYour dashboard says your GPUs are busy. Your training pipeline may tell a different story. Many teams trust allocation numbers. If a cluster shows 90% or 95% allocation, it looks efficient. However, allocation only shows which GPUs were reserved. It does not show whether those GPUs performed useful compute work. To understand real efficiency, teams need to separate two metrics: GPU allocation and GPU utilization.
NTI: Delivering the right approach to modernization even as the growth of AI comes closer to reality
NTI Marketing TeamIn business, what makes technical companies successful, is their ability to understand directions, goals and the necessity for discipline and teamwork. In confidence the managers will tell you that their company is a source of joy in that their success has come about because of the company’s understanding of what its employees can do, and how well they can perform given tasks. Perhaps most important of all, it comes down to leadership ensuring there is clarity behind every decision taken.
