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As inference workloads dominate, what if these matmuls could also perform useful work and generate beneficial byproducts!? Similar to all th…
As inference workloads dominate, what if these matmuls could also perform useful work and generate beneficial byproducts!? Similar to all the byproducts we get from crude oil distillation that are not
As inference workloads dominate, what if these matmuls could also perform useful work and generate beneficial byproducts!? Similar to all the byproducts we get from crude oil distillation that are not just fuel. This enables all sorts of downstream applications. Pearl generates proofs from matrix multiplications that already happen during training and inference computations. Those proofs help secure Pearl Network, and the future value of Pearl emissions helps offset endpoint cost. As ¶PRL spot price increases, we expect to use more of th…
Source: Together AI (X) | 2026-05-15