Memory crisis: Raspberry Pis get pricier, DGX Spark with less RAM

This is an AI translation into this language for easier reading. The original is the German version: open German original.

The memory crisis has now reached the Raspberry Pi: the DIY computers are becoming more expensive. Nvidia's AI desktop DGX Spark is being released in a smaller version with less RAM.

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TVS News AI, editorially supervised, presents Memory crisis: Raspberry Pis get pricier, DGX Spark with less RAM.

The memory crisis has now also reached the Raspberry Pi. After the small DIY computers had so far remained comparatively price-stable, they are now also becoming more expensive. This is reported by Golem.de.

At the same time, the shortage is affecting Nvidia's AI desktop DGX Spark: the device is being released in a smaller version with less working memory. Nvidia is responding to the ongoing global shortage of memory chips.

What was spared until now is now becoming more expensive

The situation on the memory market remains tense. While some manufacturers are only delivering their devices in reduced configurations, hobbyists and developers are now feeling the effects directly. For years, the Raspberry Pi was considered a reliably affordable entry-level board – that price stability is now temporarily a thing of the past. How much the prices will rise is not revealed in the brief Golem report; it is only clear that the Raspberry Pi series is no longer exempt.

DGX Spark comes with less RAM

Anyone who had been counting on Nvidia's AI desktop for local AI models must prepare for a stripped-down version. Instead of the originally planned full configuration, Nvidia is bringing the device to market with reduced working memory. The company is thus following the trend that under memory shortages, it is primarily configurations that shrink, not necessarily retail prices. The article does not mention details on prices, delivery dates, or specific RAM configurations.

What this means for buyers

In the short term, the following applies for the Raspberry Pi: compare prices, keep an eye on remaining stock and previous models. Those who don't need the latest board anyway can most likely save with an older generation. For the DGX Spark, the motto is to lower your own requirements for locally operated AI models – or postpone the project until the memory market normalizes again.

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