The 2.6 and 2.7 releases of AMDGPU.jl broaden the package's linear-algebra coverage — GPU Cholesky, LU and now a singular value decomposition via rocSOLVER, mixed-precision matmul, and a sparse-array interface — add WMMA matrix-core support for RDNA4 GPUs, and trim time-to-first-kernel.
