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Copy file name to clipboardExpand all lines: pages/gpu/reference-content/choosing-gpu-instance-type.mdx
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@@ -108,6 +108,10 @@ Remember that there is no one-size-fits-all answer, and the right GPU Instance t
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| Use cases | GenAI (Image/Video) | GenAI (Image/Video) | 7B Text-to-image model fine-tuning / Inference | 70B text-to-image model fine-tuning / Inference |
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| What they are not made for |||||
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<Messagetype="note">
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The service level objective (SLO) for all GPU Instance types (except H100-SXM) is 99.5% availability. [Read the SLA](https://www.scaleway.com/en/virtual-instances/sla/).
\* Instances with dedicated vCPU do not share their compute resources with other Instances (1 vCPU = 1 CPU thread dedicated to that Instance). This type of Instance is particularly recommended for running production-grade compute-intensive applications.
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| Resources | Dedicated vCPUs*|
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| Sizing | From 2 to 96 vCPUs <br /> From 8 GiB to 384 GiB RAM |
\* Instances with dedicated vCPU do not share their compute resources with other Instances (1 vCPU = 1 CPU thread dedicated to that Instance). This type of Instance is particularly recommended for running production-grade compute-intensive applications.
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@@ -135,5 +140,6 @@ See below the technical specifications of Specialized Instances:
\* Instances with dedicated vCPU do not share their compute resources with other Instances (1 vCPU = 1 CPU thread dedicated to that Instance). This type of Instance is particularly recommended for running production-grade compute-intensive applications.
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