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  1. 04HIPS SDK
    1. APython
    2. BTypeScript and JavaScript
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  2. 05Import and run your model
  3. 06Model and task guides
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  4. 07Batch jobs
  5. 08Prompt caching
  6. 09Coding-tool setup
    1. AClaude Code
    2. BOther coding tools and editor integrations
  7. 10Command line
    1. ASign in

Reference

  1. 11API reference
    1. AAuthentication
    2. BChat completions
    3. CResponses
    4. DModels
    5. ETasks
    6. FJobs
    7. GUploads
    8. HDeployments
    9. IRequirements and headers
    10. JErrors
    11. KUsage
    12. LVersioning
  2. 12Operating guidance
    1. ALimits
    2. BErrors
    3. CRetries and billing outcomes
    4. DIdempotency
    5. EStreaming
    6. FData handling
    7. GCompatibility matrix
  3. 13Changelog
Sheet indexOperating guidance

Get started

  1. 01Developer hub
  2. 02Quickstart
  3. 03Migrate to HIPS

Guides

  1. 04HIPS SDK
    1. APython
    2. BTypeScript and JavaScript
    3. CGo
    4. DRust
    5. EJava
    6. F.NET
    7. GPHP
    8. HRuby
  2. 05Import and run your model
  3. 06Model and task guides
    1. ATask guides
    2. BLanguage (chat)
    3. CClassification
    4. DImage
    5. EVideo
    6. FAudio
    7. GDocument processing
  4. 07Batch jobs
  5. 08Prompt caching
  6. 09Coding-tool setup
    1. AClaude Code
    2. BOther coding tools and editor integrations
  7. 10Command line
    1. ASign in

Reference

  1. 11API reference
    1. AAuthentication
    2. BChat completions
    3. CResponses
    4. DModels
    5. ETasks
    6. FJobs
    7. GUploads
    8. HDeployments
    9. IRequirements and headers
    10. JErrors
    11. KUsage
    12. LVersioning
  2. 12Operating guidance
    1. ALimits
    2. BErrors
    3. CRetries and billing outcomes
    4. DIdempotency
    5. EStreaming
    6. FData handling
    7. GCompatibility matrix
  3. 13Changelog
12
  1. Docs/
  2. Operating guidance/
  3. Data handling
(Detail F)

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llms.txt

Data handling

On this sheet6 sections
  1. Your model weights
  2. Customer models: the import path
  3. Request inputs and generated outputs
  4. What the gateway stores
  5. Pools and runtime access
  6. Regions
F
Fig. 1, sheet 12Operating guidance

Your model weights

Policy

Customer-owned model weights will never be used to train other models on any plan.

That commitment applies to the weights themselves. It does not change the separate policy for request inputs and generated outputs.

Customer models: the import path

A customer model is imported from a model hub, never uploaded, and it is weight files only: no customer code runs anywhere. The import pins the revision, fetches only the files an engine reads, re-saves what passes its checks, copies it once into encrypted HIPS storage in the workspace's storage region, where its deployments run, and signs it with a HIPS key. Workers and devices load only that signed copy, never the hub. Import and run your model has the whole path.

A hub token for a private or gated repository is read-only, kept encrypted under a cloud key, shown by its last four characters, used only in the import job and never sent to a data-center worker, its RunPod pod or a device; it is deleted when you delete it. Access tokens has the rules.

Request inputs and generated outputs

Policy

On Free/PAYG and the lower paid plan, request inputs and generated outputs may be used for training. This includes requests processed by customer-owned models. On the higher paid plan, request-data training is off by default.

The Console will show the applicable policy so that teams can understand it before sending work. Retention, deletion, and any other permitted uses will be set out in the service terms before production access. Turning training off is not, by itself, a promise of zero retention.

PlanRequest-data policyCan the workspace change it
Freetraining_allowedNo
The lower paid plantraining_allowedNo
The higher paid plantraining_off by defaultYes, to training_allowed, by an owner or admin; the change is audited and shown before any request
  • Plan
    Free
    Request-data policy
    training_allowed
    Can the workspace change it
    No
  • Plan
    The lower paid plan
    Request-data policy
    training_allowed
    Can the workspace change it
    No
  • Plan
    The higher paid plan
    Request-data policy
    training_off by default
    Can the workspace change it
    Yes, to training_allowed, by an owner or admin; the change is audited and shown before any request

The policy applies to requests against catalog models and against customer models alike. It is not a header; a request cannot override it. The policy in force at the moment the gateway accepts the request is the one recorded on the job and the usage event, and it travels with the job through every retry.

What the gateway stores

WhatThe gateway
Request bodies, prompts, inputsNever stored. Read, validated, relayed to the worker, forgotten. Logged as sizes and counts, never as content.
Responses, outputsNever stored, except a task or job result on the job record until expires_at, so a client can retrieve it.
UploadsNever pass through the gateway (a presigned PUT). Stored encrypted in the HIPS account under the upload's retention.
The user fieldDiscarded.
The usage recordOperational metadata only: ids, timestamps, units, cost, outcome. No prompt, no input, no output.
  • What
    Request bodies, prompts, inputs
    The gateway
    Never stored. Read, validated, relayed to the worker, forgotten. Logged as sizes and counts, never as content.
  • What
    Responses, outputs
    The gateway
    Never stored, except a task or job result on the job record until expires_at, so a client can retrieve it.
  • What
    Uploads
    The gateway
    Never pass through the gateway (a presigned PUT). Stored encrypted in the HIPS account under the upload's retention.
  • What
    The user field
    The gateway
    Discarded.
  • What
    The usage record
    The gateway
    Operational metadata only: ids, timestamps, units, cost, outcome. No prompt, no input, no output.

Pools and runtime access

In the personal pool a job runs on a device that its owner controls physically. The provider app handles weights and inputs in memory and removes them after the job, and the software is signed; but a person with physical control of a machine can in principle read its memory, and HIPS cannot verify from outside that they did not. HIPS discloses this before a customer selects the pool. In the approved pool a job runs on data-center supply operated by an approved provider, with published execution protections and access conditions per provider Not decided yet.

Encryption in transit and at rest is part of the platform requirements. It protects data during transfer and storage, but does not by itself prevent a GPU operator from accessing weights or request data during execution. We will publish the execution protections and access conditions for each pool before customers deploy workloads to it.

Cross-pool fallback is off by default and requires explicit enablement. It never relaxes a region or data-use rule. Customer-owned models run in the approved pool only at launch.

Regions

A region is a requirement of a request, available on the higher paid plan only. What a region requirement covers (processing, logs, storage, backups, retries, verification samples, operations access, sub-processors) is open Not decided yet, and it is not offered until specified. The rule that holds regardless: no request silently crosses a required boundary. If no eligible supply exists in the required region, the gateway answers 503 overloaded_error with Retry-After, never a result from elsewhere.

Related sheets

  • Security and Data
  • Requirements and headers
Previous sheetStreaming
Next sheetCompatibility matrix
Sheet
12 of 13
Detail
F
Updated
2026-10-21
Status
Preview
Join early access

On this sheet

  1. Your model weights
  2. Customer models: the import path
  3. Request inputs and generated outputs
  4. What the gateway stores
  5. Pools and runtime access
  6. Regions

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