These results will also let us see if anything is going on under the hood with NVIDIA’s Tensor cores on RTX’s Turing architecture. While we were at it, we also wanted to take a look at FP16 half-precision results, since AI and deep-learning are quickly becoming ubiquitous in our computing, even outside of research. AMD originally told us that this amounted to 3.52 TFLOPS, but the company dropped that slightly to 3.46 TFLOPS after embargo lift.Īfter our original articles were posted, we went through our data a bit more carefully, and threw together a few charts to highlight Radeon VII’s strengths in different high-precision workloads. Fast-forward to the day before embargo, and we get an email from AMD about a boost to FP64: from the 1:16 FP32 we were told last month, to an impressive 1:4 FP32 at launch. At the time, it was widely speculated that the VII would inherit this FP64 performance, but that was shot down after we contacted AMD’s head of marketing.ĭuring testing, we noticed some oddities with the claim of unaccelerated FP64 performance, as we were seeing some much higher results than we expected. That’s an enterprise-grade GPU with uncapped double-precision floating-point compute. When AMD announced the Radeon VII at CES, it was obvious that the card shared many characteristics with its bigger brother, the Radeon Instinct MI50. Now that the rush to meet the embargo is over, we can look into some of the more quirky aspects of Radeon VII. While the card traded blows with NVIDIA’s comparable GeForce RTX 2080, there were a few cases where the Radeon VII really came into its own.ĭue to time constraints, we couldn’t fit all of the tests we wanted to into our launch articles. With this week’s release of AMD’s Radeon VII, we’ve taken a look at performance for both gaming, and professional workloads.
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