Nvidia's Neural Texture Compression can provide gigantic savings in the amount of VRAM required to render complex 3D graphics, even though no one is using it ...

Nvidia demonstrates new AI-powered texture compression technology that reduces VRAM usage by up to 96% while maintaining ...

RTX 5060 rumor of 16GB of video RAM was based on a faked video, sadly – the grapevine insists the GPU will stick with just ...

For a long time, 16GB of RAM was considered the standard for gaming PCs. However, most machines would benefit from 32 GB of ...

Nvidia's upcoming RTX Neural Texture Compression has been tested on an RTX 4090. It shows an impressive 96% reduction in texture memory size compared to outgoing texture compression techniques.

Modern leading AI chips can process data faster than memory systems can deliver that data, limiting edge AI inference ...

How much energy is consumed each time we upload an image to social media, which relies on data centers and cloud storage?

Google’s Titans ditches Transformer and RNN architectures LLMs typically use the RAG system to replicate memory functions Titans AI is said to memorise and forget context during test time ...

Seven years and seven months ago, Google changed the world with the Transformer architecture, which lies at the heart of generative AI applications like OpenAI’s ChatGPT. Now Google has unveiled ...

One of the most promising approaches is in-memory computing, which requires the use of photonic memories. Passing light signals through these memories makes it possible to perform operations nearly ...

I think that is quite the spirit to hold on to for this year. ChangXin Memory Technologies (CXMT), a Hefei-based supplier of dynamic random access memory (DRAM), is the major driver behind China's ...

Learn More A new neural-network architecture developed by researchers at Google might solve one of the great challenges for large language models (LLMs): extending their memory at inference time ...