Memory’s chokehold on the industry is due to the breakneck evolution of generative AI, which has spread from the labs and hyperscalers training large language models (LLMs) to the firms trying ...

Over the past two decades, the raw compute capability of processors used in high‑performance computing (HPC) and artificial intelligence (AI) systems has increased at an extraordinary pace. Figure 1 ...

The parallelism in AI accelerators enables low latency but complicates failure isolation. HBM can account for 50% of package cost, so known-good stack assurance is critical. DFT and test cooperate to ...

As AI shifts from cloud training to edge inference, the memory stack is moving beyond data access toward system-level coordination, reshaping controller design, supply chain roles, and value ...

Surging demand for memory chips and related equipment amid the AI boom has boosted shares of EO Technics in South Korea by over 40% so far this year. The stock rise has made the company’s founder and ...

Chip and silicon intellectual property technology company Rambus Inc. today announced HBM4E Memory Controller IP, a new solution that delivers breakthrough performance with advanced reliability ...

Troubled Chipzilla wants to cash in on the DRAM frenzy by teaming up with a SoftBank subsidiary to push a new “ZAM” memory technology. With AI infrastructure buildouts running hot this year, DRAM ...

For years, software stacks kept getting more complex. OpenAI is moving in the opposite direction. This video breaks down how AI is collapsing layers that used to be mandatory. The impact affects ...

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 ...

AI inference, reasoning, and larger context windows are driving an unprecedented surge in demand for both high-bandwidth memory (DRAM) and long-term storage, making memory a critical bottleneck in AI ...