I'm trying to launch a g6e.12xlarge EC2 instance, but every attempt returns InsufficientInstanceCapacity. I've tried multiple Availability Zones and EU regions because of legal and data-residency requirements, but none has worked consistently. Even smaller G6e instances are difficult to obtain and may require many retries. The error says the requested Availability Zone does not currently have enough capacity and that additional capacity is being provisioned. Are there practical options beyond repeatedly trying different zones or waiting?
4 Answers
This is a common, usually temporary problem with popular GPU instance families. If you can make the workload flexible, support several compatible instance types and Availability Zones instead of depending on one exact size. An Auto Scaling group can periodically retry launches across the allowed options, though you should understand its health checks and termination behavior first.
If you’re requesting multiple instances at once, try reducing the batch size. A request for ten can fail completely if only nine are available, whereas smaller requests may succeed. If even a single instance fails, there simply may not be capacity in the permitted locations at that moment. Support or your technical account contact may also be able to advise on expected capacity for your regions.
Consider using a smaller or older GPU family if it meets your requirements, such as a G5, G4dn, or possibly a newer compatible generation. GPU capacity is heavily contested right now, so broadening the instance list is often more effective than repeatedly requesting one exact type.
For a recurring requirement, ask about an On-Demand Capacity Reservation in an approved European Availability Zone. It needs to be established while capacity is available, so it won’t immediately fix today’s failure, but it can prevent repeated capacity problems later. Provide the exact regions, zones, instance count, and expected usage period when requesting help.
Keep the cost in mind: a capacity reservation can be expensive if the instances run continuously. Compare it with a Compute or Instance Savings Plan and verify the projected utilization before committing.
The best substitute depends on whether your bottleneck is GPU memory, compute performance, networking, or software compatibility. Check those requirements before switching families.