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Document the current Intel GPU support boundaries#20

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HaD0Yun wants to merge 1 commit intoHumeAI:mainfrom
HaD0Yun:codex/issue-18-intel-gpu-support-doc
Open

Document the current Intel GPU support boundaries#20
HaD0Yun wants to merge 1 commit intoHumeAI:mainfrom
HaD0Yun:codex/issue-18-intel-gpu-support-doc

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@HaD0Yun HaD0Yun commented Mar 22, 2026

Summary

Addresses #18 by adding a narrow repository note for the current public status of this request.

## Problem statement
Issue #18 asks for Intel GPU support, but the repository does not currently document what is supported today versus what would still need explicit implementation work for Intel hardware.

## Root cause
The public repository exposes CUDA-oriented examples and an Apple-specific MLX path, but no documented Intel GPU runtime path or support matrix.

## What changed
- added `docs/issues/issue-18-intel-gpu-support.md`
  • documented the currently visible backend signals in the repo

  • outlined what would likely be required before Intel GPU support can be claimed

    Why this design

    A focused status note is the safest truthful response because it improves clarity without falsely claiming a working Intel backend.

    Overlap assessment

    Net-new relative to open PRs; references existing issue Intel GPU Support Needed #18 without creating a duplicate issue.

    Validation

    • git diff --check --cached

    Risk / compatibility

    Low risk. Documentation-only. It does not claim Intel GPU support exists today.

    Files changed

    • docs/issues/issue-18-intel-gpu-support.md

Adds a narrow documentation note that records the repository's current hardware/backend boundaries for Intel GPU requests.

Constraint: Keep this branch scoped to issue HumeAI#18 only
Rejected: Folding this into a multi-issue combined PR | the requested delivery shape is one PR per issue
Confidence: high
Scope-risk: narrow
Directive: Keep this note fact-limited to what the public repository and issue thread currently support
Tested: git diff --check --cached
Not-tested: Runtime feature execution for the requested capability
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