Another important factor to consider is Vega supports double speed FP16 operations[1] and some ML frameworks are already beginning to optimize for that[2], so t

Another important factor to consider is Vega supports double speed FP16 operations[1] and some ML frameworks are already beginning to optimize for that[2], so that's almost 24 TFLOPS of training compute for ~ $400 USD on the RX Vega 56. [1]: https://www.anandtech.com/show/11717/the-amd-radeon-rx-vega-64-and-56-review/4 https://www.anandtech.com/show/11717/the-amd-radeon-rx-vega-... [2]: https://github.com/plaidml/plaidml/issues/29 https://github.com/plaidml/plaidml/issues/29