“Edge computing also means less data travels long distances, lowering the load on main servers and networks,” says Neel ...

For the past two decades, distributed caches, also known as in-memory data grids, have been used to address such challenges.

Cisco Unified Edge enables real-time inferencing and agentic workloads from edge to core – so enterprises can confidently deploy and manage AI at scale. It is designed to grow and adapt without the ...

Fleet Mining, a global cloud computing platform specializing in blockchain infrastructure, announced updates to its service portfolio for 2025, including expanded support for Litecoin (LTC), Bitcoin ...

The open source AI ecosystem took a decisive leap forward today as the PyTorch Foundation announced that Ray, the distributed computing framework originally developed by Anyscale, has officially ...

NB HASH: Bridging AI Hashrate and Infrastructure Innovation Founded in 2019 in London, NB HASH has developed an AI hashrate infrastructure platform designed to connect users with distributed ... for ...

Cisco’s approach is centered on infrastructure modernization, secure connectivity and digital resilience. To advance that strategy, Cisco is embedding AI observability into its network and security ...

At the Ultra-Broadband Forum (UBBF), jointly organised by Huawei and the United Nations Broadband Commission, Huawei showcased its answer to these challenges: Xinghe AI Fabric 2.0.

GM will launch its next generation in-vehicle tech with an all-new centralized computing platform, set to replace the Global ...

Quantum computing is set to redefine data security, AI, and cloud infrastructure. This in-depth research explores how post-quantum cryptography, quantum AI acceleration, and hybrid quantum-cloud ...

GM is gearing up to launch a new centralized computing platform in 2028, offering greater flexibility, more processing power ...