From 6afe1fcdacdc321cab4e0493f84201510e1a4271 Mon Sep 17 00:00:00 2001 From: yuxizama <157474013+yuxizama@users.noreply.github.com> Date: Tue, 9 Jul 2024 11:57:43 +0200 Subject: [PATCH] docs(frontend): fix broken links --- README.md | 2 +- docs/execution-analysis/gpu_acceleration.md | 6 +++--- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index 5bd2350dc..395e58908 100644 --- a/README.md +++ b/README.md @@ -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).*

↑ Back to top diff --git a/docs/execution-analysis/gpu_acceleration.md b/docs/execution-analysis/gpu_acceleration.md index 24dd33dd3..33b31f21e 100644 --- a/docs/execution-analysis/gpu_acceleration.md +++ b/docs/execution-analysis/gpu_acceleration.md @@ -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.