Unverified50% confidenceFactExact time
In this Lambda GPU Cloud incident, users were unable to shut down running GPU instances, which may have caused billing to continue accumulating while invisible to users.
1
Sources
50%
Confidence
Short-term (~14 days)
Relevance
10/31/2026
First Seen
Valid until: 11/14/2026
Sources
Related Entities
Related Claims
UnverifiedIn Cloud Run, GPU instances can currently only use per-instance billing, not per-request billing.76% similarUnverifiedGPU clouds (such as Lambda, RunPod, and CoreWeave) offer raw compute rental, where users deploy their own model weights and are billed per GPU hour.73% similarUnverifiedA machine without a dedicated GPU cannot ingest large prompts in a reasonable time, so a second host with a GPU is needed to solve the prefill problem.72% similarUnverifiedGPU设备的状态存储于驱动私有的内核数据结构与显存中，绕过了Linux标准的进程状态模型，CRIU无法处理GPU工作负载70% similarUnverifiedIn large-scale GPU clusters, resource fragmentation manifests as some GPUs idling while waiting for paired CPU resources, and others that cannot be fully utilized due to mismatched task granularity.70% similar
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