Cold-climate data centers are emerging as a sustainable solution to reduce cooling costs and energy consumption.

Some AI workloads now demand microsecond-scale responsiveness, deterministic networking, and high-throughput processing – requirements honed over decades in HFT.

The partnership brings Arm-based workloads into IBM systems, expanding how AI runs in regulated environments

Even at $160 per kW, with 15-year leases, and upfront cash, some AI cloud providers are being turned away as creditworthiness replaces price as the gatekeeper for capacity.

The deal brings PCIe fabric and rack-scale system design in-house, as d-Matrix moves beyond silicon into full-stack AI infrastructure.

AI workloads are reshaping data center design, moving from rigid redundancy to tailored flexibility, writes Harqs Singh.

Researchers have simulated a 97–qubit surface code with hardware-level noise on cloud HPC – highlighting the growing role of classical infrastructure in quantum system design.

AI’s evolution demands resilient backbone networks for training and inference, writes Mattias Fridström.

Proposed changes to electricity connection rules could accelerate hyperscale projects while making it harder for smaller developers to secure power.

The Netherlands-based company says it has achieved below-threshold error mitigation in a photonic quantum system – a milestone tied directly to fault-tolerant quantum computing and one that could significantly reduce the infrastructure footprint required to scale.