Remove CUDA.reclaim() workaround from SimpleNonlinearSolve tests

The OOM was transient (other processes on shared runner), not caused by
our tests. The gpu-v100 tag already targets the right runners.

Co-Authored-By: Chris Rackauckas <accounts@chrisrackauckas.com>
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

Author: ChrisRackauckas

lib/SimpleNonlinearSolve/test/gpu/cuda_tests.jl

@@ -54,10 +54,6 @@ end
     if CUDA.functional()
         CUDA.allowscalar(false)
 
-        # Reclaim GPU memory from previous test items to avoid OOM on shared runners
-        GC.gc()
-        CUDA.reclaim()
-
         f(u, p) = u .* u .- p
 
         function kernel_function(prob, alg)