CUDA (cu12) build of the Jammi engine server — GPU-accelerated `jammi-server` binary, pip-installable
Verified details
These details have been verified by PyPIProject links
GitHub Statistics
Maintainers
Project description
jammi-server-cu12
GPU build of the Jammi engine server, packaged as a pip-installable wheel that
ships the CUDA-enabled jammi-server binary behind a jammi-server console
script.
pip install jammi-server-cu12
jammi-server --help
The CUDA runtime libraries (libcudart, libcublas, libcublasLt,
libcurand, libnvrtc) are pulled in as nvidia-*-cu12 wheel dependencies; the
console script prepends their lib/ directories to LD_LIBRARY_PATH before
exec'ing the binary, so no system CUDA install is required (only an NVIDIA driver
on the host). This package and jammi-server (CPU) both provide the
jammi-server command — install exactly one.
Project details
Verified details
These details have been verified by PyPIProject links
GitHub Statistics
Maintainers
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file jammi_server_cu12-0.26.2-py3-none-manylinux_2_28_x86_64.whl.
File metadata
- Download URL: jammi_server_cu12-0.26.2-py3-none-manylinux_2_28_x86_64.whl
- Upload date:
- Size: 61.4 MB
- Tags: Python 3, manylinux: glibc 2.28+ x86-64
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.13.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ba5297a82f8c13092922d99972d7721bd1c3dc0adae4fffb761d43892ce1f2eb
|
|
| MD5 |
8d1cdd670ec7cf3048968596618dc20e
|
|
| BLAKE2b-256 |
aa9960de98781fb68a0b8525daf4088cf216fa10da13e5dd9898cf39600253d5
|
Provenance
The following attestation bundles were made for jammi_server_cu12-0.26.2-py3-none-manylinux_2_28_x86_64.whl:
Publisher:
pypi-server-cuda.yml on f-inverse/jammi-ai
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
jammi_server_cu12-0.26.2-py3-none-manylinux_2_28_x86_64.whl -
Subject digest:
ba5297a82f8c13092922d99972d7721bd1c3dc0adae4fffb761d43892ce1f2eb - Sigstore transparency entry: 1790365511
- Sigstore integration time:
-
Permalink:
f-inverse/jammi-ai@5b43d070a43f277fdaecebcb01e10acfc74e0a36 -
Branch / Tag:
refs/tags/py-v0.26.2 - Owner: https://github.com/f-inverse
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
pypi-server-cuda.yml@5b43d070a43f277fdaecebcb01e10acfc74e0a36 -
Trigger Event:
push
-
Statement type:
