How modern .NET leverages hardware SIMD instructions inside LINQ and TensorPrimitives:

In .NET 8/9, operations like Sum(), Average(), Min(), Max(), and Contains() on Span<float> and int[] automatically detect AVX2 / ARM Neon hardware and execute vectorized SIMD routines under the hood.

using System.Numerics.Tensors;

// Computes cosine similarity across 512-dimension embedding vectors in < 20 nanoseconds!
float similarity = TensorPrimitives.CosineSimilarity(vectorA, vectorB);

Enables AI vector search and embeddings math at near C++/CUDA speeds directly in C#!

TensorPrimitives is the secret weapon for building high-performance AI / ML vector databases in .NET.

Processes millions of embedding distance calculations with zero native interop overhead.