Large-scale applications, such as generative AI, recommendation systems, big data, and HPC systems, require large-capacity ...

Anthropic’s new AutoDream feature introduces a fresh approach to memory management in Claude AI, aiming to address the challenges of cluttered and inefficient data storage. As explained by Nate Herk | ...

Abstract: The rapid growth of model parameters presents a significant challenge when deploying large generative models on GPU. Existing LLM runtime memory management solutions tend to maximize batch ...

Personal computer maker HP Inc. delivered solid fiscal first-quarter results that came in ahead of expectations today, but its stock was dropping in late trading after it provided a disappointing ...

When we talk about the cost of AI infrastructure, the focus is usually on Nvidia and GPUs — but memory is an increasingly important part of the picture. As hyperscalers prepare to build out billions ...

In this tutorial, we build a self-organizing memory system for an agent that goes beyond storing raw conversation history and instead structures interactions into persistent, meaningful knowledge ...

Researchers at Nvidia have developed a technique that can reduce the memory costs of large language model reasoning by up to eight times. Their technique, called dynamic memory sparsification (DMS), ...

ByteDance, the parent company of TikTok, is reportedly developing an artificial intelligence (AI) chip and is in discussions with Samsung Electronics SSNLF for its manufacturing. The Chinese tech ...

A new malicious package discovered in the Python Package Index (PyPI) has been found to impersonate a popular library for symbolic mathematics to deploy malicious payloads, including a cryptocurrency ...