
AMD is challenging its chipmaker rival with a new rack-scale system that will start shipping to customers later this year.
Will AMD announce a major cloud hyperscaler partnership for the Helios system by October 2026?
Resolves by Oct 31, 2026
AMD has launched Helios, a rack-scale system designed to train and run large AI models at massive scale for data centers. The system combines many processors into a single high-powered unit and competes directly with Nvidia's existing rack systems in a market historically dominated by Nvidia. Major companies including Microsoft, OpenAI, and Meta have already committed to deploying Helios. AMD's CEO stated that AI accelerator chips are expected to become a massive part of the computing market by 2030, with demand driven by the increasing computational requirements of advanced AI systems.

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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