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<!DOCTYPE html>
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<h1>About N2D2-IP<a class="headerlink" href="#about-n2d2-ip" title="Permalink to this headline">¶</a></h1>
<p>While N2D2 is our deep learning open-source core framework, some modules
referred as “N2D2-IP” in the manual, are only available through custom
license agreement with CEA LIST.</p>
<p>If you are interested in obtaining some of these modules, please contact
our business developer for more information on available licensing
options:</p>
<blockquote>
<div><p>Sandrine VARENNE
(<a class="reference external" href="mailto:Sandrine.VARENNE%40cea.fr?subject=[N2D2-IPinquiry]&body=Iaminterestedinobtaining[...]N2D2-IPmodule(s).%0A%0A[pleasedescribebrieflytheintendedusage].%0A%0A[youraffiliationandcontactinformation].">Sandrine<span>.</span>VARENNE<span>@</span>cea<span>.</span>fr</a>)</p>
</div></blockquote>
<p>In addition to N2D2-IP modules, we can also provide our expertise to
design specific solutions for integrating DNN in embedded hardware
systems, where power, latency, form factor and/or cost are constrained.
We can target CPU/DSP/GPU CoTS hardware as well as our own PNeuro
(programmable) and DNeuro (dataflow) dedicated hardware accelerator IPs
for DNN on FPGA or ASIC.</p>
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