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chore: adjust comment in Dockerfile regarding RTX5090 support#316

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Jun 24, 2026
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chore: adjust comment in Dockerfile regarding RTX5090 support#316
kyteinsky merged 1 commit into
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chore/explicit-support-for-cuda-gpus

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Assisted-by: Github Copilot:claude-sonnet-4-6

fixes: #305

🤖 AI (if applicable)

  • The content of this PR was partly or fully generated using AI

Signed-off-by: kyteinsky <kyteinsky@gmail.com>
Assisted-by: Github Copilot:claude-sonnet-4-6
@kyteinsky kyteinsky requested a review from marcelklehr as a code owner June 17, 2026 05:32
Comment thread Dockerfile
# Real cubins for all shipping GPU generations through Blackwell (sm_100),
# plus one forward-compatible PTX target to keep wheel size manageable.
# CMAKE_CUDA_ARCHITECTURES is intentionally not set here. llama.cpp's CMake
# selects sensible defaults based on the detected CUDA toolkit version:

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mmh, but this is at build time, right? so it does not depend on the CUDA version that the admin has but on the CUDA version of the CUDA_DEVEL_IMAGE, correct?

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yep, and we depend on llama.cpp to make the correct choice of cubins to bake in, so we don't have to check and adjust it when the cuda version changes.
we could but it already exists so I didn't bother.

@kyteinsky kyteinsky merged commit 13b33c0 into master Jun 24, 2026
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@kyteinsky kyteinsky deleted the chore/explicit-support-for-cuda-gpus branch June 24, 2026 12:12
@kyteinsky kyteinsky mentioned this pull request Jun 24, 2026
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kyteinsky added a commit that referenced this pull request Jun 24, 2026
## 5.4.0 - 2026-06-24

### Highlights
- The indexing direction has been reversed now. Instead of the
context_chat PHP app sending documents to the context_chat_backend
ExApp, the ExApp downloads the documents from the server according to a
list obtained from the PHP app. This also means that the `occ
context_chat:scan` command serves no purpose and has been removed.
Indexing should be smoother and run continuously now.
- Kubernetes support to scale the CPU computation
- Separate docker images for CPU, CUDA and ROCM (uses Vulkan) instead of
one heavy CUDA/CPU image
- CUDA 12.8 is shipped in the CUDA image so the host drivers should be
updated to this at the minimum.

### Added
- add network embedding batching (#276) @fcharlaix-opendsi
- add kubernetes support and reverse content/indexing flow (#284)
@kyteinsky @marcelklehr
- add gh workflows for docker builds and do separate cpu, cuda and rocm
(vulkan) images (#295) @kyteinsky

### Changed
- update readme according to the latest changes (#300) @kyteinsky
- bump llama_cpp_python to 0.3.23 (#301) @kyteinsky
- move task types to the backend (#321) @kyteinsky
- adjust comment in Dockerfile regarding RTX5090 support (#316)
@kyteinsky

### Fixed
- improve loadSources error handling (#288) @kyteinsky
- fix(pgvector): add chunking to prevent long list of args in queries
(#290) @kyteinsky
- fix(pgvector): make doc deletion query faster (#289) @kyteinsky
- drop latin-1 decode in source title and userIds (#306) @kyteinsky
- handle validation errors of files and content providers individually
(#308) @kyteinsky
- prevent race condition in vectordb tables creation (#308) @kyteinsky
- pass actual error in the error object (#308) @kyteinsky
- add container hostname to /etc/hosts to silence sudo warning (#311)
@sanzakicesarr

## 🤖 AI (if applicable)

- [ ] The content of this PR was partly or fully generated using AI

Signed-off-by: kyteinsky <kyteinsky@gmail.com>
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RTX5090 Blackwell support

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