# Distributed.jl, DistributedArray.jl with InfiniBand cluster

**URL:** https://discourse.julialang.org/t/distributed-jl-distributedarray-jl-with-infiniband-cluster/80049
**Category:** Julia at Scale
**Tags:** cluster, distributed
**Created:** [April 26, 2022, 11:56am UTC](https://discourse.julialang.org/t/distributed-jl-distributedarray-jl-with-infiniband-cluster/80049 "2022-04-26T11:56:29Z")
**Posts on this page:** 1
**Showing post:** 3

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### Author: ![stillyslalom](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/stillyslalom/32/45687_2.png) [@stillyslalom](https://discourse.julialang.org/u/stillyslalom)
#### Post date: [April 26, 2022, 1:41pm UTC](https://discourse.julialang.org/t/distributed-jl-distributedarray-jl-with-infiniband-cluster/80049/3 "2022-04-26T13:41:45Z")

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It looks like you’ll be a bit of a pioneer: [Custom transport for Distributed.jl to utilize Infiniband and avoid MPI?](https://discourse.julialang.org/t/custom-transport-for-distributed-jl-to-utilize-infiniband-and-avoid-mpi/74097)

UCX.jl seems to be the leading choice here, but it hasn’t gotten a new release in over a year, although several PRs appear to be pending. cc @vchuravy

If this is your first time doing parallel computing, it’s probably easiest to bite the bullet and use MPI rather than acting as a test dummy for a new protocol.

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