I have to wonder about intel and their Xeon Phi range. Last I checked they were supposed to launch a followup late last year that never manifested. Now we're 4 months in 2016 and still no new phi's.<p>Couple that with the fact that they want you to use their compilers (extremely expensive), on a specialized system that can support the card, and you get a platform that nobody other than supercomputer companies can reasonably use. Meanwhile any developer who want to try something with cuda can drop $200 dollars on a GPU and go, then scale accordingly. I think intel somewhat acknowledged this by having a firesale on phi cards and dev licenses last year but it was only for a passively cooled model (really only works well in servers, not workstations).<p>Intel do this:<p><pre><code> - Offer a $200-400 XEON PHI CARD
- Include whatever compiler needed to use it with the card
- Make this easily buyable
- Contribute ports of Cuda-based frameworks over to Xeon Phi
</code></pre>
I feel like they could do this pretty easily, even if it lost money, it's pennies compared to what they're going to lose if nvidia keeps trumping them on machine learning. They need to give dev's the tooling and financial incentive to write something for Phi instead of cuda, right now it completely doesn't exist and frameworks basically use Cuda by default.<p>If you're AMD, do the same thing but replace the phrase Xeon Phi with Radeon/Firepro