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Generation](/models/text-generation)[Text To Image](/models/text-to-
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  1. [Getting Started](/docs)

     1. [Quick Start Guide](/docs/getting-started)

     2. [Available Models](/docs/models)

     3. [Running Inference](/docs/inference)

     4. Data Privacy & Security

  2. [API Reference](/docs/api-reference)

     1. [OpenAI-Compatible API](/docs/openai_api)

     2. [DeepInfra Native API](/docs/deep_infra_api)

     3. [Rate Limits](/docs/advanced/rate-limits)

     4. [Webhooks](/docs/advanced/webhooks)

     5. [Authentication & Tokens](/docs/advanced/scoped_jwt)

  3. [Model Features](/docs/model-features)

     1. [Function Calling](/docs/advanced/function_calling)

     2. [JSON Mode](/docs/advanced/json_mode)

     3. [Multimodal Models](/docs/advanced/multimodal)

     4. [Log Probabilities](/docs/advanced/log_probs)

     5. [Max Output Tokens](/docs/advanced/max_tokens_limit)

  4. [GPU Instances](/docs/gpu-instances)

     1. [Containers](/docs/gpu-instances/containers)

  5. [Custom Deployments](/docs/custom-deployments)

     1. [Custom LLMs](/docs/advanced/custom_llms)

     2. [LoRA Adapter Models](/docs/advanced/lora)

     3. [LoRA Image Adapters](/docs/advanced/lora_text_to_image)

  6. [Integrations](/docs/integrations)

     1. [LangChain](/docs/advanced/langchain)

     2. [LlamaIndex](/docs/advanced/llama-index)

     3. [AI SDK](/docs/advanced/aisdk)

     4. [AutoGen](/docs/advanced/autogen)

     5. [Okta SSO](/docs/advanced/okta)

  7. [Tutorials & Examples](/docs/tutorials)

     1. [Stable Diffusion (Text to Image)](/docs/tutorials/stable-diffusion)

     2. [Whisper (Speech to Text)](/docs/tutorials/whisper)

     3. [Deprecated Models](/docs/advanced/deprecated)

  8. [Miscellaneous](/docs/misc)

     1. [Data Subprocessors](/docs/misc/subprocessors)

Documentation

  1. [Getting Started](/docs)

     1. [Quick Start Guide](/docs/getting-started)

     2. [Available Models](/docs/models)

     3. [Running Inference](/docs/inference)

     4. Data Privacy & Security

  2. [API Reference](/docs/api-reference)

     1. [OpenAI-Compatible API](/docs/openai_api)

     2. [DeepInfra Native API](/docs/deep_infra_api)

     3. [Rate Limits](/docs/advanced/rate-limits)

     4. [Webhooks](/docs/advanced/webhooks)

     5. [Authentication & Tokens](/docs/advanced/scoped_jwt)

  3. [Model Features](/docs/model-features)

     1. [Function Calling](/docs/advanced/function_calling)

     2. [JSON Mode](/docs/advanced/json_mode)

     3. [Multimodal Models](/docs/advanced/multimodal)

     4. [Log Probabilities](/docs/advanced/log_probs)

     5. [Max Output Tokens](/docs/advanced/max_tokens_limit)

  4. [GPU Instances](/docs/gpu-instances)

     1. [Containers](/docs/gpu-instances/containers)

  5. [Custom Deployments](/docs/custom-deployments)

     1. [Custom LLMs](/docs/advanced/custom_llms)

     2. [LoRA Adapter Models](/docs/advanced/lora)

     3. [LoRA Image Adapters](/docs/advanced/lora_text_to_image)

  6. [Integrations](/docs/integrations)

     1. [LangChain](/docs/advanced/langchain)

     2. [LlamaIndex](/docs/advanced/llama-index)

     3. [AI SDK](/docs/advanced/aisdk)

     4. [AutoGen](/docs/advanced/autogen)

     5. [Okta SSO](/docs/advanced/okta)

  7. [Tutorials & Examples](/docs/tutorials)

     1. [Stable Diffusion (Text to Image)](/docs/tutorials/stable-diffusion)

     2. [Whisper (Speech to Text)](/docs/tutorials/whisper)

     3. [Deprecated Models](/docs/advanced/deprecated)

  8. [Miscellaneous](/docs/misc)

     1. [Data Subprocessors](/docs/misc/subprocessors)

# Data privacy during Inference

DeepInfra offers simple, scalable and cost-effective inference APIs. The goal
of this document is to explain how we handle data during inference when you
use the DeepInfra APIs. When we mention a third party model, this means when
you access that model through the DeepInfra APIs.

### Data Privacy

When using DeepInfra inference APIs, you can be sure that your data is safe.
We do not store on disk the data you submit to our APIs. We only store it in
memory during the inference process. Once the inference is done the data is
deleted from memory.

We also don't store the output of the inference process. Once the inference is
done the output is sent back to you and then deleted from memory.

Exceptions to these rules are outputs of Image Generation models which are
stored for easy access for a short period of time.

If you opt to use Google model, Google will store the output as outlined in
their [Privacy Notice](https://cloud.google.com/terms/cloud-privacy-notice).

If you opt to use the Anthropic model, Anthropic will store the output as
outlined in their [Trust Center](https://trust.anthropic.com/).

### Bulk Inference APIs

When using our bulk inference APIs, you can submit multiple requests in a
single API call. This is useful when you have a large number of requests to
make. In this case we need to store the data for longer period of time, and we
might store it on disk in encrypted form. Once the inference is done and the
output is returned to you, the data is deleted from disk and memory after a
short period of time.

### No Training

Except for when you use the Google or Anthropic models, we do not use data for
training our models. We do not store it on disk or use it for any other
purpose than the inference process.

When using the Google or Anthropic models, the data you submit is subject to
the receiving company’s training policy.

### No Sharing

Except for when you use the Google or Anthropic models, we do not share the
data you submit to our APIs with any third party.

When using the Google or Anthropic models, we are required to transfer the
data you submit to the company’s endpoints to facilitate the request.

### Logs

We generally don't log the data you submit to our APIs. We only log the
metadata that might be useful for debugging purposes, like the request ID, the
cost of the inference, the sampling parameters. We reserve the right to look
at and log a small portions of requests when necessary for debugging or
security purposes.

When using the Google model, Google logs prompts and responses for a limited
period of time, solely for the purpose of detecting violations of their
[Prohibited Use Policy](https://policies.google.com/terms/generative-ai/use-
policy).

Personal information and data you provide when using certain models through
our API may be shared with the relevant API endpoints, as specified at the
time of use.

[Running Inference](/docs/inference)[API Reference](/docs/api-reference)

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