> ## Documentation Index
> Fetch the complete documentation index at: https://docs.bioptimus.com/llms.txt
> Use this file to discover all available pages before exploring further.

# FAQ

> Common questions about deploying and using Bioptimus models.

## Getting started

<AccordionGroup>
  <Accordion title="Which model should I use?">
    **M-Optimus** predicts spatial gene expression and also produces embeddings; **H-Optimus** is the lighter, feature-only model; run **tissue segmentation** first to filter background. See [M-Optimus](/documentation/models/m-optimus) and [H-Optimus](/documentation/models/h-optimus).
  </Accordion>

  <Accordion title="What input size do the models expect?">
    224×224 tiles at 0.5 µm/px for embeddings and M-Optimus prediction; 512×512 at 8.0 µm/px for tissue segmentation.
  </Accordion>
</AccordionGroup>

## Deployment & infrastructure

<AccordionGroup>
  <Accordion title="How is the model delivered?">
    Two ways: an **AWS SageMaker endpoint**, or a **containerized Docker image for on-premise**. Both serve the same API. See [Deployment](/deployment/overview).
  </Accordion>

  <Accordion title="What container runtime is required — OCI or Docker?">
    The on-premise server ships as a Docker image loaded via `docker load` and run with the NVIDIA Container Toolkit. {/* TODO: confirm OCI-runtime compatibility and any
        Kubernetes/Podman support. */}
  </Accordion>

  <Accordion title="Does it run on Kubernetes or another orchestrator?">
    *TBD — the documented deployment is a single Docker container; confirm orchestration support.*
  </Accordion>

  <Accordion title="What CPU architecture and GPU are required (on-prem)?">
    **x86-64** with an NVIDIA GPU of **CUDA Compute Capability 8.6** (e.g. A10G-class) runs the container out of the box. Other architectures require recompilation. A 24 GB GPU (equivalent to SageMaker `ml.g5.xlarge`) is a good baseline.
  </Accordion>

  <Accordion title="What NVIDIA driver is needed, and is GPU access passthrough or shared?">
    GPU access is direct passthrough via the NVIDIA Container Toolkit (`--gpus all`).
  </Accordion>
</AccordionGroup>

## Data security & privacy

<AccordionGroup>
  <Accordion title="Where does our data go? Does Bioptimus see it?">
    Data stays entirely in your own environment (your AWS account, or your on-prem hardware). **Bioptimus does not see your inputs, outputs, or usage.** See [Security & compliance](/documentation/resources/security-compliance).
  </Accordion>

  <Accordion title="What telemetry does Bioptimus collect?">
    Indicative (to be confirmed): disease area / task, slide volumes, functions called, and crash/bug signals — no slide images or patient data. {/* TODO: confirm exact
        fields, transport, and opt-out. */}
  </Accordion>
</AccordionGroup>

## Model & SDK usage

<AccordionGroup>
  <Accordion title="Can I choose which embedding I get (CLS vs. supervised)?">
    No. H-Optimus returns the **CLS token** of size **1536**; M-Optimus returns its MLP output. The embedding type is fixed.
  </Accordion>

  <Accordion title="What does an embedding look like?">
    A 1536-dimensional float vector per tile (H-Optimus and M-Optimus embedding mode). See the [API reference](/api-reference/introduction).
  </Accordion>

  <Accordion title="What access methods are supported?">
    Customer-managed **SageMaker** endpoints and **on-premise** containers; H-Optimus is also on **Hugging Face** for academic use. {/* TODO: confirm whether a Bioptimus-hosted
        SaaS API is offered. */}
  </Accordion>

  <Accordion title="How do I get the Bioptimus SDK?">
    Install the provided Python wheel (or via a package index once confirmed). See the [Bioptimus SDK](/guides/get-started/sdk).
  </Accordion>
</AccordionGroup>

## Commercial & support

<AccordionGroup>
  <Accordion title="What scientific support tiers are available?">
    Three tiers: **Tier 1 — Co-Designed**, **Tier 2 — Supported**, and **Tier 3 — Self-Service**. {/* TODO: describe what each tier includes. */}
  </Accordion>

  <Accordion title="Is there a free trial or proof-of-concept?">
    *TBD — contact Bioptimus to discuss evaluation options.*
  </Accordion>

  <Accordion title="How do I avoid unexpected AWS charges?">
    Delete SageMaker endpoints and batch models when finished — endpoints bill while running.
  </Accordion>
</AccordionGroup>