MSI launches $85,000 XpertStation WS300 with Nvidia GB300 Ultra and massive memory that redefines local AI performance ...

Nvidia's KV Cache Transform Coding (KVTC) compresses LLM key-value cache by 20x without model changes, cutting GPU memory costs and time-to-first-token by up to 8x for multi-turn AI applications.

Researchers from the University of Edinburgh and NVIDIA have introduced a new method that helps large language models reason more deeply without increasing their size or energy use. The work, ...

Nvidia introduced the DGX Station at GTC 2026, a desktop supercomputer with 20 petaflops of AI performance and 748GB of coherent memory that can run trillion-parameter AI models locally without the ...

AI's insatiable appetite for memory chips is crowding out all other buyers — and the consequences will ripple through every ...

The world of AI has been moving at lightning speed, with transformer models turning our understanding of language processing, image recognition and scientific research on its head. Yet, for all the ...

Nvidia faces competition from startups developing specialised chips for AI inference as demand shifts from training large ...

What if your AI could remember every meaningful detail of a conversation—just like a trusted friend or a skilled professional? In 2025, this isn’t a futuristic dream; it’s the reality of ...

Recognition memory research encompasses a diverse range of models and decision processes that characterise how individuals differentiate between previously encountered stimuli and novel items. At the ...

Micron's stock has soared this year while its tech peers have struggled, as the impact of rising memory costs ripples across the industry.