Every year, Pure Accelerate gives us a front-row seat to where enterprise data infrastructure is heading. This year, the themes on stage mapped closely to conversations we’re already having with customers, covering topics like hypervisor strategy, data visibility, and what it takes to keep complex infrastructure...
If your organization still runs VMware vSphere 7 or 8, you are already running against hard regulatory deadlines that carry no grace period. vSphere 7 lost support on October 2, 2025. vSphere 8 follows on October 11, 2027. After those dates, no security patches exist. An unpatched hypervisor is an automatic failure under PCI DSS 4.0, HIPAA, and SOC 2....
Key Takeaways A server configuration that cost $17,300 in Q1 2025 now in Q2 2026 runs over $103,000: a 495% jump in 15 months. Every quarter of delay on a 20-host cluster refresh adds an estimated $500K to $600K in CapEx. The shortage is structural rather than cyclical, driven by AI infrastructure capex and a multi-year reallocation of...
Independent software vendors (ISVs) are carrying more weight than ever—shipping AI features, retaining customers, and protecting margins. But the grind is real: cloud costs fluctuate, talent is scarce, and “proof-of-concept purgatory” stalls AI roadmaps. The question isn’t whether to modernize your delivery platform. It’s how to do it without slowing product velocity. Expedient Intelligent Infrastructure gives ISVs a...
We’re ready to help you seize it The conversation in IT has fundamentally shifted. It’s no longer about infrastructure or AI — it’s about both, together, and what that combination...
Agentic AI doesn’t just add a new application to your environment. It changes the business’s load profile. When workflows start executing across systems, pulling context from enterprise data, triggering actions, and running continuously, your infrastructure stops being “where things run” and becomes the constraint (or the accelerator)....
AI ambitions often outpace infrastructure capabilities because AI changes how data, compute, and policy must move together across environments that were never designed for reliable intelligence delivery. That mismatch shows up as unmanaged data gravity, inconsistent controls, unpredictable performance, and fluctuating costs, turning scale into risk instead...
Despite heavy investment, 95% of generative AI (GenAI) pilots are failing1 and, at the same time, more than 50% of businesses report moderate to severe technical debt that’s expected to reach 75% by 2026 as AI intensifies pressure on already strained systems2. These failures aren’t about AI being...
