How to size hardware for a local LLM: weights, KV cache and memory bandwidth, checked against official specs for 12 open ...

The app stores its slides, votes, search telemetry, and change history in Lakebase Postgres. We use Slide Hub as the baseline ...

Astera Labs has added three products to its Leo memory controller line, aimed at a problem that arises as AI inference shifts from single queries to agents that run continuous loops: the key-value ...

A photo taken on September 1, 2025 shows the Deepseek AI logo on a laptop screen (R) next to the logo of the Deepseek AI application on a smartphone screen in Frankfurt am Main, western Germany.

An ambitious chip startup that has spent more than seven years quietly trying to redesign the architecture for computer memory has just come out of stealth mode and believes its new approach can help ...

As generative AI adoption accelerates, the focus of AI infrastructure is shifting beyond training performance. For organizations deploying Large Language Models (LLMs) in production, inference ...

Want only the AI that hits your stack? Build an agent that tracks your companies and topics, and skips everything else. Headless LibreOffice, Poppler and git living inside the ChatGPT client turn the ...

Clearing cached data has become a catch-all troubleshooting tip people recommend whenever a phone, computer or streaming device feels slow. While this can help sometimes, cached data isn't inherently ...

When survivors of trauma recount their experiences, they are often questioned because of how they relay their stories. They may have problems remembering what happened, or their memories may be ...

Part 1 of this series looked at capacity expansion: how Enfabrica, Penguin Solutions, Marvell, and Meta are leveraging CXL to increase memory capacity for KV Cache. But expanding physical memory ...

History is littered with the corpses of technologies that were ahead of their time, and Intel’s Optane storage and memory products are certainly among them. Expensive, badly misunderstood, and ...

The conversation surrounding AI infrastructure has correctly identified the key value (KV) cache as a critical bottleneck in scaling AI inference. As models push toward longer context windows and ...