CUDA (cu12) build of the Jammi engine server — GPU-accelerated `jammi-server` binary, pip-installable
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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.
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Details for the file jammi_server_cu12-0.26.0-py3-none-manylinux_2_28_x86_64.whl.
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- Size: 61.4 MB
- Tags: Python 3, manylinux: glibc 2.28+ x86-64
- Uploaded using Trusted Publishing? Yes
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The following attestation bundles were made for jammi_server_cu12-0.26.0-py3-none-manylinux_2_28_x86_64.whl:
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pypi-server-cuda.yml on f-inverse/jammi-ai
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https://in-toto.io/Statement/v1 -
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f-inverse/jammi-ai@56097f6f78a101972c80d2e48318cbd98c9b10fe -
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refs/tags/py-v0.26.0 - Owner: https://github.com/f-inverse
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