Division by Inf is sometimes producing NaN's

This problem does not occur on my laptop, just a cluster I am using. On the cluster

```
julia> versioninfo()
Julia Version 1.11.1
Commit 8f5b7ca12ad (2024-10-16 10:53 UTC)
Build Info:
Official https://julialang.org/ release
Platform Info:
OS: Linux (x86_64-linux-gnu)
CPU: 36 × Intel(R) Xeon(R) Gold 6140 CPU @ 2.30GHz
WORD_SIZE: 64
LLVM: libLLVM-16.0.6 (ORCJIT, skylake-avx512)
Threads: 1 default, 0 interactive, 1 GC (on 36 virtual cores)
```

If I do the following

```
using LoopVectorization
x = ones(32) * Inf
y = similar(x)
@turbo for ix in eachindex(x)
y[ix] = 1 / x[ix]
end
```

Then the `y` vector is

```
julia> y
32-element Vector{Float64}:
NaN
NaN
NaN
NaN
NaN
NaN
NaN
NaN
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
NaN
NaN
NaN
NaN
NaN
NaN
NaN
NaN
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
```
I was expecting that all the elements of `y` would be zero.