[content_band inner_container="true" no_margin="true" border="none" padding_top="40px" padding_bottom="40px"][column type="two-fifths"]

[custom_headline type="left" level="h3"]If you want faster code, you've come to the right place.[/custom_headline][gap size="15%"][button  type="flat" shape="rounded" href="http://sandbox.arrayfire.com/download" size="x-large" block="true"]Download ArrayFire[/button]

[gap size="10%"]

[button  type="flat" block="true" shape="rounded" href="http://www.meetme.so/arrayfire" size="x-large" ]Schedule a consultation[/button]

[/column][column type="three-fifths" last="true"][gap size="7%"]
<div id="wistia_rj2bar3xxp" class="wistia_embed"></div>
[/column]
<div id="arrayfire"></div>
[/content_band]

[content_band inner_container="true" no_margin="true" border="top" padding_top="40px" padding_bottom="40px"]

[column type="one-third" ][custom_headline type="left" level="h3" class="center-text"]FASTER CODE[/custom_headline][line]ArrayFire is a blazing fast software library for GPU computing with an easy-to-use API. Its array-based function set makes GPU programming simple. A few lines of code in ArrayFire can replace dozens of lines of raw GPU code, saving you valuable time and lowering development costs.[/column][column type="one-third" ][custom_headline type="left" level="h3" class="center-text"]HARDWARE NEUTRAL[/custom_headline][line]ArrayFire supports CUDA-capable NVIDIA GPUs and most OpenCL devices, including AMD GPUs/APUs and Intel Xeon Phi co-processors. It also supports mobile OpenCL devices from ARM, Qualcomm, and others.[/column][column type="one-third" last="true" ][custom_headline type="left" level="h3" class="center-text"]OPEN SOURCE[/custom_headline][line]ArrayFire is open source—it's all there and it's all free. And don't forget to check out our excellent documentation and pick up some tips and best practices from the ArrayFire community on our forums![/column]
<div id="hardware"></div>
[/content_band]

&nbsp;