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VMind makes AI compute faster using novel, smarter algorithms for AI.

VMind software accelerates AI compute using novel algorithms for structured matrix multiplication and others.

VMind algorithms are orthogonal to (and thus compatible with) quantization, flash attention, and other established techniques to accelerate AI.

The result is faster AI compute with no changes to the underlying hardware.

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VMind software accelerates AI compute using novel fast algorithms for structured matrix multiplication and others.

VMind is co-founded by experts in high-performance computing, mathematics and theory of computation.
VMind software accelerates the computational bottlenecks of AI compute using novel fast algorithms.
VMind thus enables faster AI compute with no changes to the underlying hardware.

VMind algorithms leverage the manifold hypothesis to accelerate AI.

AI inputs are more compressible than they look. They don't span their entire set of all possible values.

This is known as the manifold hypothesis.

VMind exploits this additional structure in AI inputs to obtain using novel fast algorithms for AI compute.

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