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Micron's revenue and earnings surged to records on AI memory demand

The chipmaker posted $41.46 billion in quarterly revenue and guided to $50 billion next quarter as AI-driven memory demand accelerates

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Crucial is a casualty of AI's hunger for RAM
Crucial is a casualty of AI's hunger for RAM

<p>Micron Technology is winding down its consumer-facing Crucial brand to focus on providing RAM and other components to the AI industry, <a target="_blank" class="link rapid-w [...]

Match Score: 92.10

venturebeat
A 0.12% parameter add-on gives AI agents the working memory RAG can't

<p>AI agents forget. Every time a coding assistant loses track of a debugging thread, or a data analysis agent re-ingests the same context it already processed, the team pays in latency, token c [...]

Match Score: 82.08

venturebeat
Cerebras stock nearly doubles on day one as AI chipmaker hits $100 billion

<p><a href="https://www.cerebras.ai/">Cerebras Systems</a>, the Silicon Valley chipmaker that built the world&#x27;s largest commercial AI processor, erupted onto the N [...]

Match Score: 81.88

venturebeat
DeepSeek’s conditional memory fixes silent LLM waste: GPU cycles lost to

<p>When an enterprise LLM retrieves a product name, technical specification, or standard contract clause, it&#x27;s using expensive GPU computation designed for complex reasoning — just to [...]

Match Score: 74.45

venturebeat
Google PM open-sources Always On Memory Agent, ditching vector databases fo

<p>Google senior AI product manager <a href="https://x.com/Saboo_Shubham_/status/2029646498431127655">Shubham Saboo</a> has turned one of the thorniest problems in agent de [...]

Match Score: 71.28

thenextweb
Micron’s revenue quadrupled as AI memory demand pushes gross margins abov

<img src="https://media.thenextweb.com/2026/06/micron-q3-fy2026-earnings-revenue-hbm-ai-memory.avif" width="868" height="488"><br /><p>Micron Technology [...]

Match Score: 66.03

venturebeat
MeMo's memory model lets teams upgrade their LLM without retraining it

<p>Enabling LLMs to acquire new knowledge after training remains a major hurdle for enterprise AI — current solutions are either too expensive, too slow, or constrained by context window limit [...]

Match Score: 65.31

venturebeat
New KV cache compaction technique cuts LLM memory 50x without accuracy loss

<p>Enterprise AI applications that handle large documents or long-horizon tasks face a severe memory bottleneck. As the context grows longer, so does the KV cache, the area where the model’s w [...]

Match Score: 64.97

Anthropic and Micron want to co-design AI memory architecture
Anthropic and Micron want to co-design AI memory architecture

<p><img width="2048" height="1152" src="https://the-decoder.com/wp-content/uploads/2026/06/micron_logo.png" class="attachment-full size-full wp-post-image&q [...]

Match Score: 61.87