In case anyone wants to check it out, this is my dev computer. I work on massively parallel algorithms a lot of the time so I need some really heavy duty GPUs for GPGPU (those are 4 watercooled Radeon Vega Frontier Edition GPUs) and a 32 core Ryzen 3.7 Ghz threadRipper CPU, and 64 gigs of the fastest ram around. this baby is a **beast**

inb4 why the Radeon GPUs and not NVIDIA or an Intel chip... simple, they are better for many/most applications but not all. The CPU and motherboard supports the full number of channels to maximize throughput into and out of the GPUs. So while they have fewer cores compared to a Tesla the cores dont tend to be the bottleneck, the I/O is, so i sacrificed cores to max out the I/O channels where the bottleneck tends to be. AMD and Ryzen ThreadRipper CPU were the only ones doing that.


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@freemo @Science Is Radeon card better than NVIDIA for ML? Did you try Coral Dev Board TPU?


ML is such a diverse disciplin with countless algorithms that dont really resemble one another in any meaningful way for there to be a single answer to this. Different boards are better for different algorithms and applications, it just depends.


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