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We built an OCR server that can process 270 dense images/s on a 5090

TurboOCR, >200 img/s OmnidocBench. TensorRT FP16, PP-OCRv6, HTTP + gRPC.

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    Our open image-to-markdown OCR model — turning documents into structured text with tables, equations, and reading order preserved.

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  5. I embedded 685M public texts in 32 minutes (on 8x A100, Rust, TensorRT)

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    Fast self-hosted embedding engine for search, RAG, and reindexing workloads on NVIDIA GPUs. Built in Rust + TensorRT for teams that care about scale, cost, and control.

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