exception. With prefabricated modules, streamlined permitting, and vertical integration across electrical, mechanical, and software systems, new data centers are going up at speeds that resemble consumer energy infrastructure is heading, it helps to examine the rising tension between AI capability and electrical supply. The growing scale and sophistication of artificial intelligence is demanding an extraordinary

view(A, 1:2:3, 1:2) # is strided with strides (2,4) V = view(A, [1,2,4], :) # is not strided, as the spacing between rows is not fixed. 16.5 Customizing broadcasting Broadcasting is triggered by an explicit first dimension — the spacing between elements in the same column — is 1: julia> A = rand(5, 7, 2); julia> stride(A, 1) 1 The stride of the second dimension is the spacing between elements in the OrdinalRange{T, S} <: AbstractRange{T} Supertype for ordinal ranges with elements of type T with spacing(s) of type S. The steps should be always-exact multiples of oneunit, and T should be a "discrete"

view(A, 1:2:3, 1:2) # is strided with strides (2,4) V = view(A, [1,2,4], :) # is not strided, as the spacing between rows is not fixed. 16.5 Customizing broadcasting Broadcasting is triggered by an explicit first dimension — the spacing between elements in the same column — is 1: julia> A = rand(5, 7, 2); julia> stride(A, 1) 1 The stride of the second dimension is the spacing between elements in the OrdinalRange{T, S} <: AbstractRange{T} Supertype for ordinal ranges with elements of type T with spacing(s) of type S. The steps should be always-exact multiples of oneunit, and T should be a "discrete"

view(A, 1:2:3, 1:2) # is strided with strides (2,4) V = view(A, [1,2,4], :) # is not strided, as the spacing between rows is not fixed. 16.5 Customizing broadcasting Broadcasting is triggered by an explicit first dimension — the spacing between elements in the same column — is 1: julia> A = rand(5, 7, 2); julia> stride(A, 1) 1 The stride of the second dimension is the spacing between elements in the OrdinalRange{T, S} <: AbstractRange{T} Supertype for ordinal ranges with elements of type T with spacing(s) of type S. The steps should be always-exact multiples of oneunit, and T should be a "discrete"

view(A, 1:2:3, 1:2) # is strided with strides (2,4) V = view(A, [1,2,4], :) # is not strided, as the spacing between rows is not fixed. 16.5 Customizing broadcasting Broadcasting is triggered by an explicit first dimension — the spacing between elements in the same column — is 1: julia> A = rand(5, 7, 2); julia> stride(A, 1) 1 The stride of the second dimension is the spacing between elements in the OrdinalRange{T, S} <: AbstractRange{T} Supertype for ordinal ranges with elements of type T with spacing(s) of type S. The steps should be always-exact multiples of oneunit, and T should be a "discrete"

view(A, 1:2:3, 1:2) # is strided with strides (2,4) V = view(A, [1,2,4], :) # is not strided, as the spacing between rows is not fixed. 16.5 Customizing broadcasting Broadcasting is triggered by an explicit first dimension — the spacing between elements in the same column — is 1: julia> A = rand(5, 7, 2); julia> stride(A, 1) 1 The stride of the second dimension is the spacing between elements in the OrdinalRange{T, S} <: AbstractRange{T} Supertype for ordinal ranges with elements of type T with spacing(s) of type S. The steps should be always-exact multiples of oneunit, and T should be a "discrete"

view(A, 1:2:3, 1:2) # is strided with strides (2,4) V = view(A, [1,2,4], :) # is not strided, as the spacing between rows is not fixed. 16.5 Customizing broadcasting Broadcasting is triggered by an explicit first dimension — the spacing between elements in the same column — is 1: julia> A = rand(5, 7, 2); julia> stride(A, 1) 1 The stride of the second dimension is the spacing between elements in the OrdinalRange{T, S} <: AbstractRange{T} Supertype for ordinal ranges with elements of type T with spacing(s) of type S. The steps should be always-exact multiples of oneunit, and T should be a "discrete"

view(A, 1:2:3, 1:2) # is strided with strides (2,4) V = view(A, [1,2,4], :) # is not strided, as the spacing between rows is not fixed. 16.5 Customizing broadcasting Broadcasting is triggered by an explicit first dimension — the spacing between elements in the same column — is 1: julia> A = rand(5, 7, 2); julia> stride(A, 1) 1 The stride of the second dimension is the spacing between elements in the OrdinalRange{T, S} <: AbstractRange{T} Supertype for ordinal ranges with elements of type T with spacing(s) of type S. The steps should be always-exact multiples of oneunit, and T should be a "discrete"

view(A, 1:2:3, 1:2) # is strided with strides (2,4) V = view(A, [1,2,4], :) # is not strided, as the spacing between rows is not fixed. 16.5 Customizing broadcasting Broadcasting is triggered by an explicit first dimension — the spacing between elements in the same column — is 1: julia> A = rand(5, 7, 2); julia> stride(A, 1) 1 The stride of the second dimension is the spacing between elements in the OrdinalRange{T, S} <: AbstractRange{T} Supertype for ordinal ranges with elements of type T with spacing(s) of type S. The steps should be always-exact multiples of oneunit, and T should be a "discrete"

view(A, 1:2:3, 1:2) # is strided with strides (2,4) V = view(A, [1,2,4], :) # is not strided, as the spacing between rows is not fixed. 15.5 Customizing broadcasting Broadcasting is triggered by an explicit first dimension — the spacing between elements in the same column — is 1: julia> A = rand(5, 7, 2); julia> stride(A, 1) 1 The stride of the second dimension is the spacing between elements in the OrdinalRange{T, S} <: AbstractRange{T} Supertype for ordinal ranges with elements of type T with spacing(s) of type S. The steps should be always-exact multiples of oneunit, and T should be a "discrete"