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Home » How to Bypass AWS g6e.2xlarge Capacity Limits in eu-central-1

How to Bypass AWS g6e.2xlarge Capacity Limits in eu-central-1

Emily Smith by Emily Smith
April 20, 2026
in How To
Reading Time: 2 mins read
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If you’re working with limited options in Frankfurt and need a GPU with 48 GB VRAM, the usual suggestions might not quite fit your needs. G5 instances, for example, only provide 24 GB VRAM, which isn’t enough for the L40S without resorting to complicated multi-GPU setups. Here’s a straightforward plan to help you get the resources you need:

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First, consider switching to the g6e.xlarge instance. Both the g6e.xlarge and g6e.2xlarge run the NVIDIA L40S GPU with 48 GB VRAM. The main difference is the hardware specs: the xlarge has 4 vCPUs and 32 GB of RAM, while the 2xlarge offers 8 vCPUs and 64 GB RAM. In Frankfurt, the xlarge option is often easier to find because it fits into smaller capacity gaps, making it quicker to provision.

If the g6e.xlarge isn’t available, your next best choice is the g6e.8xlarge. It uses the NVIDIA L4 GPU, which has 24 GB VRAM—less than you need—that’s true. But with the 8xlarge size or larger, you often get multiple GPUs or higher availability, especially in Frankfurt. This can work if you’re okay with multi-GPU configurations or plan to reduce your model size using quantization techniques.

Since GPU capacity in Frankfurt isn’t the same across all zones, avoid leaving your zone selection on “automatic.” Instead, specify the availability zones eu-central-1a or eu-central-1b when launching your instance, as these zones usually feature newer hardware clusters. You can verify current offerings with specific AWS CLI commands.

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To minimize capacity issues when starting and stopping your instances, set up On-Demand Capacity Reservations (ODCR). This way, your capacity is locked in for your chosen instance type and zone. You’ll still be billed while the instance is stopped, but you’ll avoid the hassle of finding available capacity each time you start. Remember to delete the reservation once your project is finished to keep costs down.

Finally, steer clear of G5 or P4 instance recommendations. The G5 with A10G GPUs doesn’t have enough VRAM for your needs, and the P4 with A100 GPUs is not only more expensive but also harder to find on-demand in Frankfurt. Sticking to the G6e family gives you the best balance of cost and VRAM, making it the smarter choice for your project.

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Emily Smith

Emily Smith

Emily is a digital marketer in Austin, Texas. She enjoys gaming, playing guitar, and dreams of traveling to Japan with her golden retriever, Max.

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