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Update GPU warning
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lectures/status.md

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```{nb-exec-table}
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```
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These lectures are built on `linux` instances through `github actions` so are
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executed using the following [hardware specifications](https://docs.github.com/en/actions/using-github-hosted-runners/about-github-hosted-runners#supported-runners-and-hardware-resources)
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(status:machine-details)=
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These lectures are built on `linux` instances through `github actions` and `amazon web services (aws)` to
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enable access to a `gpu`. These lectures are built on a [p3.2xlarge](https://aws.amazon.com/ec2/instance-types/p3/)
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that has access to `8 vcpu's`, a `V100 NVIDIA Tesla GPU`, and `61 Gb` of memory.

lectures/wealth_dynamics.md

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2020
# Wealth Distribution Dynamics
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```{admonition} GPU Warning
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:class: dropdown, warning
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This lecture is built using [hardware](status:machine-details) that has access to a GPU and uses JAX for GPU programming. As a result, the lecture will be slower when running on a machine without a GPU.
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```{admonition} GPU in use
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:class: warning
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This lecture is accelerated via [hardware](status:machine-details) that has access to a GPU and JAX for GPU programming.
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Free GPUs are available on Google Colab. To use this option, please click on the play icon top right, select Colab, and set the runtime environment to include a GPU.
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