AI Data Centers

AI data centers are the physical facilities built to house the specialized hardware and networking required to train and run machine learning models. Truncated covers facility design, power sourcing, cooling technologies, infrastructure investments and regional development.

Today · Wed 11 Nov

Yesterday · Tue 10 Nov

SoftBank, Petros, and Grab plan Malaysian data center buildout with "long-term target" of 5GW

AI-generated summary SoftBank, Petroleum Sarawak Berhad, and Grab signed a Joint Development Agreement for a Malaysian data center venture starting with an initial investment of 1 billion dollars. The three companies stated a long-term target of five gigawatts of compute in the Sarawak region and plan to seek additional investors and hyperscaler customers.

The CIO dilemma: Scaling production AI without breaking the power grid

AI-generated summary HPE and AMD are partnering to provide enterprise infrastructure that combines AMD EPYC processors, AMD Instinct GPUs, and HPE Cray architectures to scale artificial intelligence and high-performance computing workloads. To address power consumption and data center scalability, AMD EPYC CPUs and HPE thermal management technologies aim to improve energy efficiency while integrating hardware-based security features.