Latest posts
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NVIDIA Australia AI Data Centers: 2GW Buildout by 2027
NVIDIA and eight partners plan up to 2GW of Australian AI data center infrastructure by 2027, with power, cooling, and commissioning determining delivery.
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GPU Cluster Stragglers: The Hidden Cost of AI Training
GPU cluster stragglers can waste thousands of accelerator-hours by slowing synchronized AI training without causing an obvious outage.
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Disaggregated AI Inference Infrastructure: Prefill vs Decode
Prefill and decode demand different compute, memory, and networking resources. Learn when disaggregated AI inference infrastructure makes operational sense.
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AI Factories Explained: How Data Centers Are Being Redesigned for Accelerated Computing
An AI factory data center is a workload-led system in which accelerators, networks, storage, power and cooling are engineered together. This feature explains how large-scale accelerated computing changes facility design, why training differs from inference, and what operators must assess before upgrading or building capacity.