News
Updates, product notes and practical coverage for AI platforms and operators.
Meta has published a discussion with infrastructure chief Santosh Janardhan about why the company builds its own data centres for AI. The account highlights power planning, chip selection and custom infrastructure as strategic product inputs, underscoring how frontier AI competition increasingly depends on long-term physical capacity rather than software and models alone.
Meta has answered three common criticisms of data centres, focusing on cooling water, household energy costs and local employment. The company points to closed-loop liquid cooling, direct funding for required grid infrastructure and long-term construction and operations work. The claims add useful detail but still warrant site-specific, independently testable reporting.
NVIDIA has launched DSX Ready, a qualification programme for products used with its AI-factory reference designs. It begins with battery energy storage systems and cooling distribution units, naming initial partners in both categories. Qualification is product-specific and does not replace site engineering, so buyers still need to test fit, resilience and local constraints.
NVIDIA, Google and Emerald AI have launched the AI Energy Management Alliance to develop performance-based rules for data centres that can adjust electricity demand. The initiative targets faster, more reliable grid connections, but it is an alliance and proposed framework rather than a new power connection or guaranteed reduction in bills.
Meta is expanding its Louisiana data centre to 5GW of compute capacity as part of a US$50 billion AI infrastructure investment. The project is also reshaping the local economy through jobs, supplier contracts, education funding and major infrastructure upgrades.