Your AI Strategy Depends on Partners; Here’s How to Find Them
The next phase of enterprise AI will not be built inside one provider’s platform. Models, accelerated compute, enterprise data, storage and network services increasingly…
Read the full story on Equinix BlogHave you worked with this?
The story is what was announced. Nobody has discussed it yet, so if it touches your team, a short post about what you’ve seen helps the next reader.
More from Equinix
Recent updates from Equinix, so you can tell whether this is a one-off or part of a pattern.
How to Buy AI Hardware When the Hardware Market Never Sits Still
At the end of 2025, we wrote a blog post intended to demystify AI hardware processors. We compared GPUs and CPUs, as well as…
What a 190% ROI on Network Modernization Looks Like
Enterprises are moving more data between more distributed endpoints, in more places, than ever before—which makes network modernization essential. Yet many leaders struggle to…
Why Public Internet Routing Is Breaking Enterprise AI Performance
AI success isn’t just about hardware and models. Where organizations host workloads matters, as does the connectivity across those distributed workloads. When enterprises place…
More in Hybrid & Multicloud
What other companies in Hybrid & Multicloud are doing. The category page shows who’s active, side by side.
FinOps for AI: a practical guide to managing AI cloud costs
AI has crossed the threshold from speculative R&D to the operational engine of the modern enterprise. Engineering teams deploy autonomous agents to handle complex customer workflows; product squads embed foundation model APIs directly into flagship software; and business units independently license AI-powered SaaS platforms to streamline daily work. What began as a series of isolated experiments…
AI cost management: How to build a business case for executives
Stop guessing. Start governing. Your CFO doesn’t want a demo, they want a defensible business case. Here’s the 7-step checklist that builds one. Define your addressable AI spend: Inventory AI costs across model APIs, cloud GPUs, vector databases, AI software licences, agents, users and infrastructure Identify optimization opportunities: Evaluate model rightsizing, prompt caching, agent…
When AI becomes an asset, not an expense
September 24, 2026 – Conversations about AI costs often begin with token prices and access to the latest cloud models. Those factors matter, but they can obscure the larger question: as AI moves into production, how can enterprises meet growing demand economically, predictably, and at scale? The issue becomes more urgent as demand grows steady and business-critical. A consumption-only approach…
HPE named a Leader in 2026 Gartner® Magic Quadrant™ for Infrastructure Platform Consumption Services
HOUSTON – September 23, 2026 – HPE (NYSE: HPE) today announced it was named a Leader in the 2026 Gartner® Magic Quadrant™ for Infrastructure Platform Consumption Services for the second consecutive year. Over the past year, HPE has advanced GreenLake with agentic AIOps and unified cloud operations software that simplifies managing and optimizing enterprise AI factories and IT infrastructure. “AI…