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* init update * Update terminology.rst * fix the branch to create an index.html, and fix pre-commit issues * Doc update * made several changes to the docs after Shuguang's revision * fixing pre-commit issues * fixed the reference file to the final prompt config file * added google analytics --------- Co-authored-by: Salman Paracha <salmanparacha@MacBook-Pro-261.local>
56 lines
2.4 KiB
ReStructuredText
56 lines
2.4 KiB
ReStructuredText
.. _arch_model_serving:
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Model Serving
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-------------
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Arch is a set of **two** self-contained processes that are designed to run alongside your application
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servers (or on a separate host connected via a network). The first process is designated to manage low-level
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networking and HTTP related comcerns, and the other process is for **model serving**, which helps Arch make
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intelligent decisions about the incoming prompts. The model server is designed to call the purpose-built
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LLMs in Arch.
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.. image:: /_static/img/arch-system-architecture.jpg
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:align: center
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:width: 50%
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_____________________________________________________________________________________________________________
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Arch' is designed to be deployed in your cloud VPC, on a on-premises host, and can work on devices that don't
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have a GPU. Note, GPU devices are need for fast and cost-efficient use, so that Arch (model server, specifically)
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can process prompts quickly and forward control back to the applicaton host. There are three modes in which Arch
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can be configured to run its **model server** subsystem:
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Local Serving (CPU - Moderate)
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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The following bash commands enable you to configure the model server subsystem in Arch to run local on device
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and only use CPU devices. This will be the slowest option but can be useful in dev/test scenarios where GPUs
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might not be available.
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.. code-block:: console
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$ archgw up --local-cpu
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Local Serving (GPU- Fast)
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^^^^^^^^^^^^^^^^^^^^^^^^^
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The following bash commands enable you to configure the model server subsystem in Arch to run locally on the
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machine and utilize the GPU available for fast inference across all model use cases, including function calling
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guardails, etc.
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.. code-block:: console
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$ archgw up --local
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Cloud Serving (GPU - Blazing Fast)
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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The command below instructs Arch to intelligently use GPUs locally for fast intent detection, but default to
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cloud serving for function calling and guardails scenarios to dramatically improve the speed and overall performance
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of your applications.
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.. code-block:: console
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$ archgw up
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.. Note::
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Arch's model serving in the cloud is priced at $0.05M/token (156x cheaper than GPT-4o) with averlage latency
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of 200ms (10x faster than GPT-4o). Please refer to our :ref:`Get Started <quickstart>` to know
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how to generate API keys for model serving
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