Lambda GPU cloud: instance will not launch and idle-instance billing

TL;DR

If the instance will not launch, check region availability for that GPU type and try a different region or a different GPU.

Fix

1. If the instance will not launch, check region availability for that GPU type and try a different region or a different GPU. Expected: you can confirm this matches your situation.

When to use

• You are setting up or using this Lambda GPU cloud feature.
• The symptom matches: instance will not launch and idle-instance billing.

When NOT to use

• Unrelated Lambda GPU cloud issues (different feature, different failure).
• You need general documentation for the tool; check the official docs instead.

Compatibility

Reported against Lambda GPU cloud. Source: https://github.com/majiayu000/hermes-agent/blob/HEAD/optional-skills/mlops/lambda-labs/SKILL.md.

Variant phrasings

instance will not launch and idle-instance billing

Why it happens

No capacity in your region is a capacity problem, not an account problem.

Edge cases

• If your error message differs even slightly, this is probably a different issue; search the exact text.
• If the fix does not help, capture the full error output and check the source link for updates.

Source

https://github.com/majiayu000/hermes-agent/blob/HEAD/optional-skills/mlops/lambda-labs/SKILL.md

Source: No capacity in your region is a capacity problem, not an account problem.

Verified resolution: [lambda-labs skill]: if the instance will not launch, check region availability for that GPU type and try a different region or a different GPU. Right-size the GPU for the task: A10 or A6000 for inference and development, A100 40GB for 7B fine-tuning, 8x H100 for 70B fine-tuning, B200 for maximum performance. There is no auto-stop, so terminate idle instances manually; the dashboard shows real-time GPU utilization to spot idlers.

Source URL: https://github.com/majiayu000/hermes-agent/blob/HEAD/optional-skills/mlops/lambda-labs/SKILL.md