Google said this week that its research on a new compression method could reduce the amount of memory required to run large language models by six times. SK Hynix, Samsung and Micron shares fell as ...

Open source AI models provide a unique opportunity to customize, fine-tune and deploy artificial intelligence solutions tailored to specific needs. In her guide, Tina Huang breaks down the practical ...

Nvidia’s trillion-dollar AI infrastructure forecast set the tone at GTC yesterday, framing its AI-RAN partnerships with Nokia and T-Mobile (part of a $2tn industry) as a new frontier for low-latency ...

TEL AVIV, Israel--(BUSINESS WIRE)--NeuReality, a pioneer in AI infrastructure, today introduced NR-NEXUS, an inference operating system designed to power large-scale inference services. Already ...

Every GPU cluster has dead time. Training jobs finish, workloads shift and hardware sits dark while power and cooling costs keep running. For neocloud operators, those empty cycles are lost margin.

Liquid-Cooled Desktop System Runs Models up to 120B Parameters Locally With a Fully Open-Source Stack, Starting at $9,999 SANTA CLARA, CA / ACCESS Newswire / March 11, 2026 / Tenstorrent, the AI ...

Google has officially released TensorFlow 2.21. The most significant update in this release is the graduation of LiteRT from its preview stage to a fully production-ready stack. Moving forward, LiteRT ...

In my day-to-day work, I have spent countless hours optimizing model performance, only to confront a sobering reality: In 2026, the primary barrier to widespread AI adoption has shifted. While raw ...

A Toronto-based startup launched a chip with a custom AI model printed directly onto silicon, which its founders say can run inference workloads more than 100-times faster than conventional graphics ...