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docs(frontend): fix broken links

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yuxizama
2024-07-09 11:57:43 +02:00
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README.md
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@@ -111,7 +111,7 @@ result = circuit.decrypt(encrypted_result)
assert result == add(2, 6)
```
*This example is explained in more detail [in this part of the documentation](https://docs.zama.ai/concrete/getting-started/quick_start).*
*This example is explained in more detail [in this part of the documentation](https://docs.zama.ai/concrete/get-started/quick_start).*
<p align="right">
<a href="#about" > ↑ Back to top </a>

6
docs/execution-analysis/gpu_acceleration.md
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@@ -5,14 +5,14 @@ This document explains how to use GPU accelerations with Concrete.
Concrete supports acceleration using one or more GPUs.
{% hint style="info" %}
This version is not available on [pypi.org](pypi.org/project/concrete-python), which only hosts wheels with CPU support.
This version is not available on [pypi.org](https://pypi.org/project/concrete-python), which only hosts wheels with CPU support.
{% endhint %}
To use GPU acceleration, install the GPU/CUDA wheel from our [Zama public PyPI repository] (https://pypi.zama.ai) using the following command:
To use GPU acceleration, install the GPU/CUDA wheel from our [Zama public PyPI repository](https://pypi.zama.ai) using the following command:
`pip install concrete-python --index-url https://pypi.zama.ai/gpu`.
After installing the GPU/CUDA wheel, you must [configure] ((../guides/configure.md)) the FHE program compilation to enable GPU offloading using the `use_gpu` option.
After installing the GPU/CUDA wheel, you must [configure](../guides/configure.md) the FHE program compilation to enable GPU offloading using the `use_gpu` option.
{% hint style="info" %}
Our GPU wheels are built with CUDA 11.8 and should be compatible with higher versions of CUDA.