
The planned 300 MW AI campus in Spain would rank among Europe’s largest as developers pursue fast-track approval and an on-site power strategy.
A proposed AI campus in central Spain would generate its own electricity on-site rather than relying entirely on grid power, a strategy that reflects how developers are now designing around constrained power supplies instead of waiting for grid connections. The 300 MW campus, estimated at $3.4 billion across two data centers, is pursuing fast-track regional approval as a Priority Project while pursuing an energy independence strategy that developers say will also minimize water consumption. Grid interconnection has become the primary bottleneck for AI infrastructure projects, making on-site power generation a strategic necessity rather than a backup option, as demonstrated by similar projects facing grid connection delays in other regions. The industry is shifting toward large, purpose-built AI computing facilities as a distinct class of infrastructure, with access to power now as critical as access to computing hardware.

In this tutorial, we explore TileLang as a high-level Python domain-specific language for designing and compiling performance-oriented GPU kernels through TVM. We begin by validating the CUDA environment and establishing reusable benchmarking and numerical-verification utilities, then progressively implement vector addition, tiled tensor-core matrix multiplication, schedule exploration, fused GEMM epilogues, row-wise softmax, and FlashAttention. Throughout the tutorial, we work directly with Ti

A close call in Northern Virginia revealed just how poorly data centers respond to grid disruptions. Here's how to fix the problem.

As AI infrastructure grows more complex, companies are rethinking how they acquire, own, and finance assets that operate on dramatically different economic timelines.
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