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It is possible to launch multiple CUDA contexts on a single GPU, however I would not recommend it as performance with each context can be impacted. if g4dn.xlarge is actually too "powerful" then what is needed for the customer. They can look at the g4dn.metal. It does provide the flexibility of your customer to install their own hypervisor and NVIDIA Virtual GPU Manager and will allow them the flexibility to slice the 8 T4s as they wish with different profiles (minimum in 1GB increments).
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