\label{ssub:nvidia_graphics_card}
\index{hardware!nvenc}
-To use hardware acceleration for rendering (that is, encoding) you do not have to set a preference or an environment variable, as was required for decoding. To use this feature you use an ffmpeg render options file which specifies the nvenc codec, either \texttt{h264\_nvenc.mp4} or \texttt{nvenc.mp4}. There are several requirements in order for this to work on your computer as listed here:
+To use hardware acceleration for rendering (that is, encoding) you do not have to set a preference or an environment variable, as was required for decoding. To use this feature you use an ffmpeg render options file which specifies the nvenc codec, either \texttt{h264\_nvenc.mp4}, \texttt{h265\_nvenc.mp4}, or \texttt{h264\_nvenc.qt}. There are several requirements in order for this to work on your computer as listed here:
\begin{enumerate}
\item Nvidia graphics board at or above a certain hardware level. For h265, newer boards are required.
390.25 or newer. You will see error messages on the startup window if you are on lower versions.
\end{enumerate}
-If you try to render using\texttt{ h264/h265\_nvenc.mp4} formats and do not have an Nvidia graphics card or this feature was not built in, you will see in the window from where you started \CGG{}, the error message: \qquad \textit{Cannot load libcuda.so.1}
+If you try to render using\texttt{ h264/h265\_nvenc} formats and do not have an Nvidia graphics card or this feature was not built in, you will see in the window from where you started \CGG{}, the error message: \qquad \textit{Cannot load libcuda.so.1}
A small test using 2 minutes from the 4k version of Big Buck Bunny shows using nvenc can be about 4 times faster. The test was done on a 4 core Intel laptop with an Nvidia 950M graphics board.