
Data center network redundancy ensures reliable connectivity by minimizing downtime risks with backup connections and equipment.
Data center network redundancy means having multiple network connections and backup equipment so that workloads can stay connected to the outside world even if one connection fails. This matters because a data center's physical infrastructure is useless if its network goes down, making network downtime one of the greatest threats to data center reliability. Redundancy typically involves multiple internet service providers, physical cables entering at different locations, duplicate network switches and routers, and automated failover systems that redirect traffic when one connection fails. However, even with redundant networks in place, workloads often use only one connection at a time, meaning failover can take seconds to minutes, though bonded networking allows simultaneous use of multiple connections for instant switching if one fails.

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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