Why Local LLMs Got Good in 2026: Capability & Cost
Open-weights LLMs crossed from toy to useful in 2026. What actually changed, and the cost math for when running a model yourself beats paying an API.
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Memory capacity, bandwidth and utilization determine whether local inference is freedom or overhead.
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Why Local LLMs Fail at Agentic Coding in 2026
Identical open weights score 67.8 or 90.0 on SWE-bench depending on the harness. What the research says about where local coding agents break.
GPU Prices in 2026: Why They Rise, and Whether to Buy
Nvidia RTX cards are up 20 to 30 percent in a third 2026 hike. Here is the memory-cost chain behind it, and whether to buy a GPU now or wait.
CXMT Stock Price: Inside the Record IPO Debut
CXMT closed 466 percent above its offer price on debut, worth 3.28 trillion yuan. What that valuation implies about the DRAM shortage.
Memory Shortage 2027: Will It Really Last a Decade?
SK hynix says 2027 will be the worst supply year ever for memory and ADATA expects a decade-long shortage. Here is how long the RAM squeeze may last.
What Is CXMT? China's DRAM Manufacturer Explained
CXMT is the largest DRAM maker in China, now the number four global supplier, closing in on Micron on capacity while its HBM chips stay years behind.
Best Open-Weight AI Models in 2026
The best open-weight AI models in 2026, ranked by use case: coding, long context, multimodal, on-device, and the real cost per finished task.
How to Save Money on RAM in 2026: 7 Strategies
RAM prices roughly tripled in 2026. Here are 7 ways to save money buying memory: right-size capacity, buy used, find bundle deals, time the market, and more.
OpenAI Hardware: The Economics of Its AI Speaker
OpenAI is spending nearly 6.5 billion dollars to build a screenless AI smart speaker. The business logic, the running costs, and the Apple lawsuit risk.
Is the 2026 Memory Cycle Peaking? Signals to Watch
Consumer DDR5 has gone flat while contract and HBM prices keep climbing. Here are the signals that show whether the 2026 memory cycle is peaking.