Long live on-prem data centers in the age of AI. We're serious
The enterprise data center was supposed to be dead by now, but the reality is on-premises workloads are getting new life courtesy of AI workloads.
Technology Optimization advises CIOs seeking to invest in innovation and strategic advantage while optimizing the cost of providing ongoing support.
New economic realities and shrinking IT budgets necessitate that IT organizations become better at justifying new projects, more efficient in delivering IT services, and smarter at adopting new technologies that can deliver business value while reducing costs.
Organizations must work together to optimize the cost reduction that funds innovation, and learn how to balance the needs of business with the responsibilities of IT. Is your organization ready for the shift to innovation? Have you developed a strategy to fund innovation with optimization?
The enterprise data center was supposed to be dead by now, but the reality is on-premises workloads are getting new life courtesy of AI workloads.
The AI Landscape's Tectonic Shift: OpenAI's dominance is crumbling under the weight of technical missteps, unsustainable economics, and intensifying competition from both established players and newcomers. With Microsoft testing rival models, Apple reconsidering partnerships, and Chinese innovations accelerating, the "simply partner with OpenAI" strategy has become dangerously outdated. The next 18 months will transform the AI ecosystem—and only organizations with flexible, sophisticated approaches will emerge as winners.
Platform9, which has been gaining momentum in moving VMware customers to its private cloud suite, launched a community edition of its Private Cloud Director.
CoreWeave filed to go public and it's unclear whether the company's debut on the stock market will be a signal of an AI infrastructure top or just a milepost on a multi-year buildout.
Quantum computing is hogging the headlines in 2025 and it's ok to say it's the year of quantum--or maybe qubits--with 10 months to go in the year. The quantum computing developments are flying, but it's worth noting that we're years away from big commercial adoption.