cuEST is an NVIDIA CUDA-X library for high-performance electronic structure theory methods. Rather than being an end-to-end solution, cuEST provides GPU-powered building blocks for the most computationally demanding steps in quantum chemical calculations. This package contains the cuEST Python API bindings; see the homepage link for details of obtaining the cuEST C API bindings, documentation, and supported features.
Metadata
Release files for nvidia-cuest-cu12 0.2.2
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Built distributions (wheels)
| File | Reset | |||
|---|---|---|---|---|
| nvidia_cuest_cu12-0.2.2-cp312-abi3-manylinux_2_27_x86_64.whl | CPython 3.12 | abi3 | Linux glibc 2.27+ x86-64 | Details |
| nvidia_cuest_cu12-0.2.2-cp312-abi3-manylinux_2_26_aarch64.whl | CPython 3.12 | abi3 | Linux glibc 2.26+ ARM64 | Details |
| nvidia_cuest_cu12-0.2.2-cp311-cp311-manylinux_2_27_x86_64.whl | CPython 3.11 | CPython 3.11 | Linux glibc 2.27+ x86-64 | Details |
| nvidia_cuest_cu12-0.2.2-cp311-cp311-manylinux_2_26_aarch64.whl | CPython 3.11 | CPython 3.11 | Linux glibc 2.26+ ARM64 | Details |
Total release size: 98.4 MB
Release files / nvidia_cuest_cu12-0.2.2-cp312-abi3-manylinux_2_27_x86_64.whl
| Download URL | nvidia_cuest_cu12-0.2.2-cp312-abi3-manylinux_2_27_x86_64.whl |
|---|---|
| Size | 24.8 MB |
| Tags | CPython 3.12 Linux glibc 2.27+ x86-64 abi3 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.14.7
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Release files / nvidia_cuest_cu12-0.2.2-cp312-abi3-manylinux_2_26_aarch64.whl
| Download URL | nvidia_cuest_cu12-0.2.2-cp312-abi3-manylinux_2_26_aarch64.whl |
|---|---|
| Size | 24.4 MB |
| Tags | CPython 3.12 Linux glibc 2.26+ ARM64 abi3 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.14.7
|
Release files / nvidia_cuest_cu12-0.2.2-cp311-cp311-manylinux_2_27_x86_64.whl
| Download URL | nvidia_cuest_cu12-0.2.2-cp311-cp311-manylinux_2_27_x86_64.whl |
|---|---|
| Size | 24.8 MB |
| Tags | CPython 3.11 Linux glibc 2.27+ x86-64 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.14.7
|
Release files / nvidia_cuest_cu12-0.2.2-cp311-cp311-manylinux_2_26_aarch64.whl
| Download URL | nvidia_cuest_cu12-0.2.2-cp311-cp311-manylinux_2_26_aarch64.whl |
|---|---|
| Size | 24.4 MB |
| Tags | CPython 3.11 Linux glibc 2.26+ ARM64 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.14.7
|
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