Jülich Gets Sparse Computing Boost from Sparxity Accelerators

<p>While GPUs have powered the AI boom and are widely used to accelerate HPC workloads, they’re not the best fit for every computing challenge. Sparse workloads, in particular, represent a big mismatch with GPU capabilities. That’s one reason why the Jülich Supercomputing Center (JSC) today announced that it has tapped Sparxity (formerly SpiNNcloud) to provide [&#8230;]</p> <p>The post <a href="https://www.hpcwire.com/2026/10/28/julich-gets-sparse-computing-boost-from-sparxity-accelerators/">Jülich Gets Sparse Computing Boost from Sparxity Accelerators</a> appeared first on <a href="https://www.hpcwire.com">HPCwire</a>.</p>