For decades, the data center was a centralized place. As AI shifts to an everyday tool, that model is changing. We are moving ...

Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...

NVIDIA Corporation (NASDAQ:NVDA) remains a central technology provider within global computing discussions as nasdaq 100 index appears frequently in broader commentary involving companies that support ...

SimActive introduces distributed processing in Correlator3D, enabling faster photogrammetry workflows and scalable mapping.

PHIL AI is pursuing an open ecosystem strategy by collaborating with infrastructure and application partners to support end-to-end AI workflows. Through integrations with decentralized compute ...

ZKP draws attention with its 190M daily token model as Solana price hits unusual levels and Story crypto slides, reshaping ...

Here's why the next great AI company won't own a data center — and what that means for founders.

Scientists at the Department of Energy's Oak Ridge National Laboratory have created a new method that more than doubles computer processing speeds while using 75% less memory to analyze plant imaging ...

TACC is helping students master leading technologies such as AI through a series of academic courses aimed at thriving in a changing computational landscape. TACC's Joe Stubbs lectures on intelligent ...

Coinbase has created an independent advisory board to assess how quantum computing could affect blockchain cryptography, as ...

So many hyped upgrades, one heritage heavy system that simply refuses to die. Peter Cottrell, long-term government mainframe public servant.

As AI demand shifts from training to inference, decentralized networks emerge as a complementary layer for idle consumer hardware.