Encoding the contents of memory to take up less space. Similar to data compression, memory compression works with the live contents of memory as it executes instructions and processes data.

More efficient AI training approaches could reduce data center power requirements, make AI modelling more accessible and ...

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.

Enhanced Performance: Integrating compression with CXL allows for efficient data movement, reducing system latency and power consumption. This is particularly beneficial for AI and machine learning ...

One significant area of research is the development of hardware-efficient embedded compression (EC) engines that can significantly reduce memory bandwidth requirements. For instance, a recent ...

Nvidia describes the whole thing using the term 'Inference on Sample,' and the results are impressive, to say the least.

This is indicative of the changing nature of computer work today. Disabling memory compression appears to be the least ...

It used to be that memory and storage space were so precious and so limited of a resource that handling nontrivial amounts of text was a serious problem. Text compression was a highly practical ...

Angelos Arelakis with the goal of delivering efficient real-time memory compression across the entire memory system. The company seeks to maximize server efficiency by addressing memory ...

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 ...