Microsoft Expands European Data Centers

Microsoft is making big moves in Europe, planning to grow its computing power by 40% across 16 countries over the next two years.

The timing is important. There's growing tension between the US and EU about trade rules. Companies in Europe want their tech services closer to home, where they have more control. Key points about the expansion:

This matches what other big tech companies are doing:

Industry experts say this trend will continue. By 2028, more than half of global companies will want to keep their tech services in their local regions, up from just 10% today.

The expansion shows how tech companies are adapting to a world where countries want more control over their digital services and data.

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Cloud costs can quickly add up, even when charges seem small. Here's a look at smart ways to lower your cloud bills.

Key money-saving approaches:

Development clusters should be turned off when not used. Most teams only need them for 8-12 hours daily, potentially saving 75% on costs.

Storage tricks can help:

Smart resource management matters:

Data handling can reduce costs:

The main point: Small changes in how you use cloud services can lead to big savings when added together.

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NVIDIA has released a new tool that makes building AI applications easier. The NVIDIA NeMo microservices framework is now available for everyone to use.

The framework helps developers in three key ways:

It makes data collection more organized, which helps AI programs give better answers.

It allows AI programs to easily work with different types of databases.

It helps keep costs down by using smaller, more efficient AI models.

The tool is especially useful because modern AI applications need to talk to each other and other programs through APIs. While many companies are testing these types of AI applications, making them work well at a large scale is still challenging.

Teams building AI applications need to think ahead about how hundreds of these programs might need to work together in the future, even if that's not obvious when first building them.

The bottom line: NVIDIA's new framework helps solve common problems in AI development, making it easier for companies to build practical AI applications that work well together.

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Another expert sharing his insights on FinOps Weekly Podcast!

How does engineering play a role in the world of FinOps? We discuss with Jeremy Chaplin about team collaboration, cost-reduction incentives, and the importance of a common language.

AI systems are getting more popular, with one-third of companies using AI in their work. But there's a big problem: many forget about security when rushing to use this new tech.

The article focuses on how containers help run AI systems. Think of containers as small, movable boxes that hold AI programs. They're becoming very important - experts say we'll see one billion new containers in the next three years just for AI use.

Here's why containers are good for AI:

But these containers need strong protection. Here are the main ways to keep them safe:

Companies that protect their AI containers well can:

The main message is clear: as AI grows more common, protecting the containers it runs in becomes very important for business success.

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I’ve decided to have a section with additional items and removing one of the main stories. Lots of content happening in the industry:

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