AMD Throws Down Gauntlet to Nvidia with Instinct MI250 Benchmarks

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In an unanticipated transfer, AMD this week published thorough performance numbers of its Intuition MI250 accelerator in comparison to Nvidia’s A100 compute GPU. AMD’s card predictably outperformed Nvidia’s board in all circumstances by two or a few instances.  But though it is not uncommon for hardware providers to show their pros, specific general performance figures compared to level of competition are almost never posted on formal web-sites. When they do it, it normally means a single matter: really large self-confidence in its products.

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Due to the fact AMD’s Instinct MI200 is aimed generally at HPC and AI workloads (and certainly AMD personalized its CDNA 2 additional for HPC and supercomputers somewhat than for AI), AMD tested the competing accelerators in several HPC purposes and benchmarks dealing with algebra, physics, cosmology, molecular dynamics, and particle interaction.

(Impression credit rating: AMD)

There are a number of physics and molecular dynamics HPC purposes that are utilised broadly and have industry-regarded exams, such as LAMMPS and OpenMM. These might be regarded as as true-entire world workloads and right here AMD’s MI250X can outperform Nvidia’s A100 by 1.4 – 2.4 moments.

(Image credit history: AMD)

There are also a lot of HPC benchmarks that can mimic authentic-world algebraic, cosmology, and particle interaction workloads. In these scenarios, AMD’s top rated-of-the-vary compute accelerator is 1.9 – 3.05 instances a lot quicker than Nvidia’s flagship accelerator.

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