What’s new at Flexera: September 2026
Track carbon, water, and electricity across AI models, workloads and tokens The new AI Sustainability experience in the Cloud Sustainability dashboard reveals the financial and environmental impact of AI services running in connected AWS, Microsoft Azure, and Google Cloud accounts. It helps organizations understand not only AI costs, but also the environmental impact associated with that…
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More from Flexera
Recent updates from Flexera, so you can tell whether this is a one-off or part of a pattern.
The complete cloud footprint: Why cloud emissions reports don’t tell the whole carbon, water and electricity story
Organizations measuring their cloud footprint today are working from half the picture and they don’t know it. I saw this firsthand in a recent conversation with a large European organization about Cloud Sustainability and our newest AI Sustainability capabilities. The team already understood the industry’s familiar problem: nobody agrees on which cloud emissions number is correct. Then we opened…
AI governance isn’t slowing innovation. It’s what makes scale possible
Key findings AI governance is becoming an enabler, not an obstacle. Organizations are increasingly using governance frameworks to create the visibility, accountability and confidence needed to scale AI initiatives safely and effectively Shadow AI is emerging as one of the biggest barriers to enterprise AI adoption. Without visibility into employee-built applications, AI tools and…
Tokenmaxxing to valuemaxxing: What every IT and finance leader needs to know (2026)
Over the last two years, the enterprise playbook for AI adoption was simple: use more of it. More tokens, more seats and more agentic workflows, on the belief that heavier usage would lead to faster returns. In 2026, that approach picked up a name, tokenmaxxing, as some companies began using token consumption and token leaderboards to measure and encourage AI adoption. But as AI usage grows, so…
More in Hybrid & Multicloud
What other companies in Hybrid & Multicloud are doing. The category page shows who’s active, side by side.
Overcoming AI Supply-Chain Bottlenecks Isn’t Just About the Compute
Compute availability is the primary bottleneck complicating most organizations’ AI strategies. Plenty of ink has been spilled regarding GPU/CPU availability, but many other core…
Introducing HPE ProLiant Gen13: Reliability redefined for AI-era workloads
As organizations scale AI, infrastructure supports more of the work that keeps the business moving, from financial models and manufacturing simulations to AI applications. These environments are more complex to protect and manage. When systems go down, critical work can slow or stop. That is why reliability today must extend beyond consistent performance. It must include built-in protection,…
HPE accelerates enterprise AI innovation with next-generation AMD CPU-powered servers
HOUSTON, Oct. 7, 2026, HPE (NYSE: HPE) today announced the first four of its HPE ProLiant Gen13 Servers powered by 6th Generation AMD EPYC™ Server processors. The new systems expand compute, memory, and I/O capabilities to help enterprises accelerate agentic AI and inference, analytics, virtualization, simulation, and modeling while strengthening security, simplifying operations, and providing…
Is Your AI Strategy Creating New Concentration Risk?
Many financial institutions use AI to enable mission-critical applications like fraud detection, risk scoring, and real-time decision-making. These AI-driven applications help them move faster…