Researchers in Morocco analyzed cybersecurity challenges in smart grids, highlighting AI-driven detection and defense strategies against threats like distributed denial-of-service, false data ...

Thales report shows AI can boost security only when data visibility and governance foundations are in place for unstructured data.

The Gap Between Language Models and Scientific Computing The infrastructure that powers large language models has reshaped ...

Asprofin Bank announced a financing commitment for the development of a high-density nanocenter project associated with the Al Thani Royal Family. The project reflects an infrastructure initiative ...

Datacom experts analyse centralised versus multi-environment AI, orchestration across edge, data centres and cloud, and ...

Kubernetes wasn't built for GPUs, but new tools like Kueue and MIG are finally helping companies stop wasting money on ...

Starburst provides a high-performance data lakehouse platform powered by the above-mentioned Trino (a fast, distributed SQL ...

Getting a distributed team trained on anything is a logistical challenge. Getting them trained on something as nuanced as ...

PowerScale is a high-performance scale-out storage platform that offers vast capacities and extreme data throughput via clustering. It’s designed specifically for handling unstructured data, making it ...

As regulators increasingly push large loads to “bring their own power,” LT350’s hybrid solar-plus-storage model provides predictable power cost, curtailment resilience, and reduced interconnection ...

Existing architectures weren’t designed for distributing processing, which is part and parcel of AI training. Data center provider Equinix says it has the solution: The Distributed AI Hub powered by ...

G Labs today published a technical framework for verifying decentralized AI training, addressing the growing trust gap as distributed models scale toward frontier performance. The framework combines ...