TensorDock users flag failed VM restarts
A Reddit user says their TensorDock distributed GPU VM would not start after they kept paying for storage to preserve the instance, and they received no meaningful support response.
This reads as an operational trust problem, not a one-off bug report: the complaint is about recovery, support latency, and whether paid storage actually protects valuable work.
- –The core issue is VM availability and restoreability, not raw GPU performance.
- –The user claims they kept paying for storage specifically to avoid data loss, which makes the failed startup more damaging.
- –The lack of support response is part of the complaint and amplifies the reliability concern.
- –The post also suggests TensorDock may not offer a simple path to remount an existing disk image onto a new VM.
- –The “40x credits” mention sounds like compensation policy language that is not clearly understood by the user.
DISCOVERED
45d ago
2026-04-27
PUBLISHED
45d ago
2026-04-27
RELEVANCE
AUTHOR
Separate-Noise-2589
