infrastructure investments slowed & revenue grew… will AI follow? From 2020, AWS began rapidly scaling CapEx (+30% Y/Y) to build AI / ML infrastructure, potentially restarting cycle CapEx Spend @ Amazon infrastructure specialists is emerging to meet this demand. CoreWeave has become one of the fastest-scaling cloud GPU providers, repurposing gaming and Crypto hardware supply chains to serve enterprise AI highly performant AI cloud infrastructure required for the most advanced applications. We are scaling as fast as possible to capture that demand. The future runs on CoreWeave. - CoreWeave CEO Michael

(structured, semi-structured, unstructured). Scaling Costs Are Too High Traditional databases require expensive tuning, hardware, and licensing to scale. Scaling Smoothly as the Data Volume Grows Thanks to

≈ 0). It is not possible to pick a nonzero atol automatically because it depends on the overall scaling (the "units") of your problem: for example, in x - y ≈ 0, atol=1e-9 is an absurdly small tolerance matrix Bidiagonal Upper/lower bidiagonal matrix Diagonal Diagonal matrix UniformScaling Uniform scaling operator Elementary operations Matrix type + - * \ Other functions with optimized methods Symmetric corresponding to the characteristic values x=[x1, x2,...] is available eigvecs(M, x) The uniform scaling operator A UniformScaling operator represents a scalar times the identity operator, λ*I. The identity

≈ 0). It is not possible to pick a nonzero atol automatically because it depends on the overall scaling (the "units") of your problem: for example, in x - y ≈ 0, atol=1e-9 is an absurdly small tolerance matrix Bidiagonal Upper/lower bidiagonal matrix Diagonal Diagonal matrix UniformScaling Uniform scaling operator Elementary operations Matrix type + - * \ Other functions with optimized methods Symmetric corresponding to the characteristic values x=[x1, x2,...] is available eigvecs(M, x) The uniform scaling operator A UniformScaling operator represents a scalar times the identity operator, λ*I. The identity

≈ 0). It is not possible to pick a nonzero atol automatically because it depends on the overall scaling (the "units") of your problem: for example, in x - y ≈ 0, atol=1e-9 is an absurdly small tolerance matrix Bidiagonal Upper/lower bidiagonal matrix Diagonal Diagonal matrix UniformScaling Uniform scaling operator Elementary operations Matrix type + - * \ Other functions with optimized methods Symmetric corresponding to the characteristic values x=[x1, x2,...] is available eigvecs(M, x) The uniform scaling operator A UniformScaling operator represents a scalar times the identity operator, λ*I. The identity

≈ 0). It is not possible to pick a nonzero atol automatically because it depends on the overall scaling (the "units") of your problem: for example, in x - y ≈ 0, atol=1e-9 is an absurdly small tolerance matrix Bidiagonal Upper/lower bidiagonal matrix Diagonal Diagonal matrix UniformScaling Uniform scaling operator Elementary operations Matrix type + - * \ Other functions with optimized methods Symmetric corresponding to the characteristic values x=[x1, x2,...] is available eigvecs(M, x) The uniform scaling operator A UniformScaling operator represents a scalar times the identity operator, λ*I. The identity

≈ 0). It is not possible to pick a nonzero atol automatically because it depends on the overall scaling (the "units") of your problem: for example, in x - y ≈ 0, atol=1e-9 is an absurdly small tolerance matrix Bidiagonal Upper/lower bidiagonal matrix Diagonal Diagonal matrix UniformScaling Uniform scaling operator Elementary operations Matrix type + - * \ Other functions with optimized methods Symmetric corresponding to the characteristic values x=[x1, x2,...] is available eigvecs(M, x) The uniform scaling operator A UniformScaling operator represents a scalar times the identity operator, λ*I. The identity

≈ 0). It is not possible to pick a nonzero atol automatically because it depends on the overall scaling (the "units") of your problem: for example, in x - y ≈ 0, atol=1e-9 is an absurdly small tolerance matrix Bidiagonal Upper/lower bidiagonal matrix Diagonal Diagonal matrix UniformScaling Uniform scaling operator Elementary operations Matrix type + - * \ Other functions with optimized methods Symmetric corresponding to the characteristic values x=[x1, x2,...] is available eigvecs(M, x) The uniform scaling operator A UniformScaling operator represents a scalar times the identity operator, λ*I. The identity

≈ 0). It is not possible to pick a nonzero atol automatically because it depends on the overall scaling (the "units") of your problem: for example, in x - y ≈ 0, atol=1e-9 is an absurdly small tolerance matrix Bidiagonal Upper/lower bidiagonal matrix Diagonal Diagonal matrix UniformScaling Uniform scaling operator Elementary operations Matrix type + - * \ Other functions with optimized methods Symmetric corresponding to the characteristic values x=[x1, x2,...] is available eigvecs(M, x) The uniform scaling operator A UniformScaling operator represents a scalar times the identity operator, λ*I. The identity

≈ 0). It is not possible to pick a nonzero atol automatically because it depends on the overall scaling (the "units") of your problem: for example, in x - y ≈ 0, atol=1e-9 is an absurdly small tolerance matrix Bidiagonal Upper/lower bidiagonal matrix Diagonal Diagonal matrix UniformScaling Uniform scaling operator Elementary operations Matrix type + - * \ Other functions with optimized methods Symmetric corresponding to the characteristic values x=[x1, x2,...] is available eigvecs(M, x) The uniform scaling operator A UniformScaling operator represents a scalar times the identity operator, λ*I. The identity