jammi-ai-native-cu12
The compiled, in-process Jammi engine built for NVIDIA GPUs — the jammi_native
PyO3 extension with CUDA and the fused attention kernels, for compute capability
8.0 and newer (A100, A10, L4, L40S, H100, RTX 30/40-series).
pip install jammi-ai jammi-ai-native-cu12
import jammi
db = jammi.connect("file:///data") # the embedded engine, on the GPU
Install this or jammi-ai-native,
the CPU build — both provide the jammi_native module. The CUDA libraries the
engine links come from NVIDIA's nvidia-*-cu12 wheels, which this package
depends on; the host needs only an NVIDIA driver. Choose the device with
[gpu] device in the engine config; the CPU remains available on a machine with
no GPU.
The dist ships in lockstep at the shared workspace version with jammi-ai,
jammi-ai-native and jammi-server.
Metadata
Release files for jammi-ai-native-cu12 0.51.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| jammi_ai_native_cu12-0.51.0-cp39-abi3-manylinux_2_28_x86_64.whl | CPython 3.9 | abi3 | Linux glibc 2.28+ x86-64 | Details |
Release files / jammi_ai_native_cu12-0.51.0-cp39-abi3-manylinux_2_28_x86_64.whl
| Download URL | jammi_ai_native_cu12-0.51.0-cp39-abi3-manylinux_2_28_x86_64.whl |
|---|---|
| Size | 69.7 MB |
| Tags | CPython 3.9 Linux glibc 2.28+ x86-64 abi3 |
|
SHA-256 checksum How to use checksums |
3c0f647375aa9f9da8c46ba69b7d8722bd82b7aa72e18b4f0f0459c03edda4d3
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Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
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Signed by GitHub Actions, verified by PyPI on Oct 1, 2026.
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