Technology

Reports of the previously-recalled Bambu Lab 3D printer being a fire hazard resurface, new power board component issue identified as the cause — Bambu says the A1's issue has been addressed, affected units replaced or repaired

Source

Tom's Hardware

Published

Jan 2, 2026

TL;DR

AI Generated

Concerns have resurfaced regarding the Bambu Lab A1 3D printer being a fire hazard due to a new power board component issue identified as the cause. YouTuber Grant Posner highlighted the issue after observing charred or melted cases on multiple A1 printers, indicating a potential risk of fire due to the AC power distribution board operating at high temperatures. Bambu Lab responded, acknowledging the problem and stating that the issue was addressed in Q3 of 2025, with affected units replaced or repaired. The company emphasized that no fires have been reported and that safety standards are met, but Posner maintains the printer poses a fire hazard and suggests using a fireproof paving stone underneath it.

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Reports of the previously-recalled Bambu Lab 3D printer being a fire hazard resurface, new power board component issue identified as the cause — Bambu says the A1's issue has been addressed, affected units replaced or repaired

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Reports of the previously-recalled Bambu Lab 3D printer being a fire hazard resurface, new power board component issue identified as the cause — Bambu says the A1's issue has been addressed, affected units replaced or repaired

TL;DR

Similar Articles

Lexar regional manager says that RAM prices are expected to double by the end of the year — 'discounts' and stabilized prices result from distributors getting rid of old stock or sourcing products from other regions

Taiwanese startup FormulaV Line wants to break into US market with two new unique cases — company expects products to become available on Newegg later this year

G.Skill explains how AMD EXPO ULL unlocks additional performance — expanded profiles allow memory makers to include subtiming tweaks for the first time

Huawei-led team claims it post-trained DeepSeek's 1.6-trillion-parameter model — 1,000 Ascend 910C chips used in training