Discussions about data ownership and privacy lag well behind what is happening in learning analytics. Who owns learner-produced data? Who owns the analysis of that data? Who gets to see the results of analysis? How much should learners know about the data being collected and analyzed?
AMD’s Radeon RX Vega 64 Graphics Cards Will Be The Fastest Mining Products Ever Created – 70 – 100 MH/s in Ethereum.
Carrier 1 ton
AMD stated in a video that the reason to delay Radeon RX Vega so much in the first place was to produce a good volume for launch. If Radeon RX Vega does pack such good mining performance, then gamers should expect to see the cards out of stock within minutes of them going on sale on 14th August. There are some steps taken to prevent the mining audience from purchasing these cards such as Radeon Packs but I personally believe they won’t affect the sales numbers at all. If stock dries up really soon, we can see an imminent shortage of Radeon RX Vega cards which will result in price inflation across the boards at the retailer end.
HBM2 @ 1100MHz – 42.9MH/s sustained ETH mining performance.
Just for a laugh I thought I'd give this a try, following KelNishi's rough path. It was quite easy to do (although I didn't build from source, I used a ready-made package). My results were pretty poor though, and I'm using an AMD Radeon Pro Vega 64 16GB RAM and NVIDIA 1080TI (11 GB RAM). I was expecting better results, but was only getting 8Mh/s from both cards. So I must be doing something wrong. I messed with the config a bit to try a few things, but no joy.
For me, this means doing "--opencl-device s 1 2". (Note that this parameter is plural.)
Radeon_rx_vega_mining Supports both Bitcoin Cash (BCH) & Bitcoin Core (BTC)