Data center development has focused on massive projects for AI training in obscure locations. AI inference is pushing ...

How a controversial tech from the 2000s could transform AI to make it cheaper, faster and almost indestructible.

Antimatter, a new category of neocloud purpose-built for the distributed AI economy, today announced its launch through the strategic combination of three companies: Datafactory (US-based energy and ...

Dell (DELL) upgraded to Buy as AI infrastructure and inference drive growth. Valuation remains attractive with FWD P/S below ...

Chinese AI darling DeepSeek is back with a new open weights large language model that promises performance to rival the best ...

Google has unveiled the eighth generation of its Tensor Processing Units (TPUs), consisting of two chips dedicated to AI ...

AI inference is shifting from centralized hyperscale data centers to edge computing, driven by the need for low-latency, real-time decision-making in critical applications. This decentralization ...

AI inference—the process of running trained models to make real-time decisions—is increasingly moving away from centralized hyperscale data centers to edge locations. This shift is driven by the need ...

Driven by rising consumer demand for ingredient transparency and new INCI compliance requirements across Europe and ...

Unveiled at Google’s annual Next event, the pair showcased using Managed Lustre as a shared cache layer across inference ...

Google LLC introduced two new custom silicon chips for artificial intelligence today at Google Cloud Next 2026, unveiling two ...

Delivers industry-leading performance efficiency and enables 700B-parameter models on a single PCIe card - without GPU ...