LCLMs compress LLM context before decode — 8.8x faster at 16x compression, beating every KV cache method tested. Open-sourced by NYU and Columbia.

Multiphysics, multiscale climate models, such as the Energy Exascale Earth System Model (E3SM) generate massive volumes of data over extended time periods to support long-term climate analysis. Data ...

Companies running large language models face a persistent bottleneck: the memory consumed by key-value caches during ...

The new open reasoning model delivers 30B-class intelligence in a 16B-parameter footprint, with 3.1B active parameters, validated independently on NVIDIA accelerated computing infrastructure.

Multiverse Computing SL, a startup with technology that reduces the hardware footprint of artificial intelligence models, is reportedly raising new capital. Sources told Bloomberg today the Spanish ...

Even if you don’t know much about the inner workings of generative AI models, you probably know they need a lot of memory. Hence, it is currently almost impossible to buy a measly stick of RAM without ...

Ollama, a runtime system for operating large language models on a local computer, has introduced support for Apple’s open source MLX framework for machine learning. Additionally, Ollama says it has ...