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If you're working on the cutting edge, let's say in graphics or machine learning you'll probably want to upgrade your GPU every year.
by Geee 9y ago
If you're working on the cutting edge, let's say in graphics or machine learning you'll probably want to upgrade your GPU every year.
- snuxoll 9y agoWhich is where macOS' new support for eGPU enclosures comes into play.
- jamesgeck0 9y agoCurrent eGPU enclosure technology is for powering up a machine with integrated graphics, not keeping up with top of the line cards. Thunderbolt 3 just isn't fast enough for that to be feasible. The bottleneck is such that there's already no point in putting a high end card like the GTX 1080 Ti in an eGPU enclosure (Source: https://arstechnica.com/gadgets/2017/08/laptop-external-graphics-card-review/ https://arstechnica.com/gadgets/2017/08/laptop-external-grap... ).
- snuxoll 9y agoIf you're worried about raw graphics throughput, sure. For most GPGPU use cases you've still got enough bandwidth.