Through systematic experiments DeepSeek found the optimal balance between computation and memory with 75% of sparse model ...

Researchers propose low-latency topologies and processing-in-network as memory and interconnect bottlenecks threaten ...

“The rapid growth of LLMs has revolutionized natural language processing and AI analysis, but their increasing size and memory demands present significant challenges. A common solution is to spill ...

Enterprise IT teams looking to deploy large language model (LLM) and build artificial intelligence (AI) applications in real-time run into major challenges. AI inferencing is a balancing act between ...

A new technical paper titled “Accelerating LLM Inference via Dynamic KV Cache Placement in Heterogeneous Memory System” was published by researchers at Rensselaer Polytechnic Institute and IBM. “Large ...

If you'd asked me a couple of years ago which machine I'd want for running large language models locally, I'd have pointed straight at an Nvidia-based dual-GPU beast with plenty of RAM, storage, and ...

Samsung Electronics has recently released its new-generation memory solutions aimed at the generative AI and large language model (LLM) markets, including the fifth-generation high-band width memory ...

Generative AI applications don’t need bigger memory, but smarter forgetting. When building LLM apps, start by shaping working memory. You delete a dependency. ChatGPT acknowledges it. Five responses ...

If large language models are the foundation of a new programming model, as Nvidia and many others believe it is, then the hybrid CPU-GPU compute engine is the new general purpose computing platform.

As AI companies snap up memory chips, smartphone and PC makers face higher costs and tighter supply — which could lead to ...

(CNN) — The US government has imposed fresh export controls on the sale of high tech memory chips used in artificial intelligence (AI) applications to China. The rules apply to US-made high bandwidth ...