How are things in the red camp ? There was some HIP thing where Fiji was as good as Pascal.
How are things in the red camp ? There was some HIP thing where Fiji was as good as Pascal.
As for scientific computing I suppose there are workloads where having your GPU and CPU on one die might give you latency savings that are worth it but mostly NVidia is going to keep owning that market for the next few years.
The mid-range has a lot of potential as it's based on Fiji which NVIDIA can't match in terms of memory BW with any of their existing ML products (nor near future ones). This is important IMO because ML inference is memory-bound and GDDR5 on NVIDIA's cards is no match for even 1st gen HBM.
The big cards is announced to be 12.5/25 Tflops SP/HP, so as long as it's not "tensoring" it should be in between P100 and V100. If they get the price right (and given that even P100 is currently still $5.5-6 w/o tax), it will hopefully gain traction.
A lot hinges on their fully OSS (!) software stack, but they are getting things done, just had a new release: https://rocm.github.io
Wait for ryzen.
Wait for vega.
Wait for ryzen again.
Vega is coming out this year. Volta isn't consumer based. Go check the enterprise prices.
Consumer Volta is mid 2018, so this, from a consumer perspective, is a paper launch.
Also, recent Linux patches hint that there will be dual-chip water-cooled Vega boards too which is likely not even 1080 Ti regime: https://www.techpowerup.com/233208/linux-drivers-point-to-up...