[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. While you're at it, check out our excellent documentation and pick up some tips on our forums![/column]
<div id="hardware"></div>
[/content_band]

&nbsp;