Developer withdraws plans for Perth datacentre after fierce community opposition

An article from AI CERTs reporting on the Anthropic-SpaceX capacity arrangement caught my attention because it highlights a possibility the cloud market has been moving toward for years but has never fully embraced. The traditional assumption has always been simple: If you need elastic infrastructure at scale, you go to a hyperscaler such as AWS, Microsoft, or Google. They own the data centers, they understand multitenancy, and they know how to deliver computing as a repeatable service. The article suggests something different may now be emerging. Organizations with excess capacity may be able to act, at least temporarily, like cloud providers. This is a meaningful shift. If access to compute, power, and networking can be packaged and sold by enterprises, AI infrastructure operators, telecoms, colocation players, and perhaps even large private data center owners, then cloud computing becomes less about who invented the model and more about who has available capacity right now. In other

A Solana memecoin linked to Roaring Kitty’s X account crashed after its developer cashed out $729,000, raising hack and sniping concerns.

Compare Solana and Ethereum in 2026 across DeFi liquidity, stablecoins, user activity, scaling, developer momentum, institutional adoption and ecosystem risks.

Partnership between top startup DeepL and Amazon comes amid concern about Silicon Valley’s monopoly over digital infrastructure AI companies in Europe risk losing their world-leading status in the field of machine translation, industry figures have said, after the decision by one of the continent’s leading startups to partner with Amazon’s cloud computing division provoked alarm. While businesses in the EU have generally lagged behind the US and China in AI adoption, a small group of European companies have cornered the global market for high-quality machine translations for professional use. Continue reading...

Uninsurable war damage is forcing tech companies to rethink Middle East plans.

Cloud computing is a key foundation of modern business, yet many approach learning it in overly complicated ways. New learners often believe they need costly boot camps, certification bundles, or long technical courses before they can get a job in the field. This approach discourages potential entrants and creates false barriers around a discipline that’s already difficult to navigate. The truth is simpler: Free cloud courses are among the best starting points because they reduce risk, boost confidence, and introduce learners to the vocabulary, platforms, and models that define the cloud era. The first stage of any cloud journey is orientation, not mastery. People need to understand what cloud computing means in practice, how infrastructure differs from platform services, why elasticity matters, where governance fits, and how major providers organize their offerings. A well-rounded exposure to the depth and breadth of a subject matter is a proven benefit of traditional higher education

In a recent article chronicling the history of Microsoft Azure and its intensifying woes, we see a narrative that has been building throughout the industry for years. As cloud computing evolved from a buzzword to the backbone of digital infrastructure, major providers like Microsoft, Amazon, and Google have had to make compromises. Their promises of near-perfect uptime shifted from an expectation to “good enough,” influenced by economic pressures that have seen the cloud giants prioritize cost cuts and staff reductions over previously non-negotiable service reliability. Frankly, many who follow the cloud space closely, including myself, have been warning about this situation for some time. Cloud outages are no longer rare, freak events. They are ingrained in the model as accepted collateral for the rapid growth and relentless cost-cutting that define this era of cloud computing. The story of Azure, as discussed in the referenced Register piece, is simply the latest and most prominent e

In both Republican and Democratic states, scepticism and hostility towards an unregulated construction boom is growing When blue-collar Trump voters and Maga-friendly midwest states join the same cause as Bernie Sanders and liberal California teachers, something novel is afoot. Last month it was the turn of the Republican party in Texas to express forthright opposition to the construction of datacentres for artificial intelligence, pending adequate environmental safeguards for local communities. Across the United States, similar campaigns are being waged, as voters from across the political spectrum rail against the outsize influence and power of big tech. For the White House, which has made the rapid rollout of datacentres a priority in its AI action plan, the scale of the protests is an unwelcome surprise. One of Donald Trump’s first acts on returning to office was to authorise the deregulated “build, baby, build” approach demanded by the Silicon Valley backers who helped to fund his