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    Perplexity Describes Ivy Tulip and ROSE Inference Components

    Official account details how Rust and Python services handle API exposure, CPU work, batching, and model execution.

    PE
    1 Source, 26d ago, first seen 26d ago

    TLDR

    Perplexity's official account posted a reply describing its inference setup. The post states that inference is exposed via standardized APIs. Ivy, a Rust HTTP service, performs CPU work such as parsing, tokenization, and templating, then translates requests to gRPC. Tulip, a Rust gRPC service, schedules batches for the ROSE engine. ROSE, a Python component, implements forward passes and CUDA graph management. The post references an attached flowchart diagram titled Model S.

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    1 Source, first seen 26d ago

    Combined views

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    1 Source, first seen 26d ago

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    1 Source

    @perplexity_aiPerplexity exposes inference via standardized APIs. Ivy (Rust HTTP) does CPU work—parsing, tokenization, templating—and translates to gRPC. Tulip (Rust gRPC) schedules batches for the ROSE engine. ROSE (Python) implements forward passes and CUDA graph management.

    1 Source

    @perplexity_aiPerplexity exposes inference via standardized APIs. Ivy (Rust HTTP) does CPU work—parsing, tokenization, templating—and translates to gRPC. Tulip (Rust gRPC) schedules batches for the ROSE engine. ROSE (Python) implements forward passes and CUDA graph management.