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python-deepspeed

Deep learning optimization library for distributed training and inference

Current
0.19.6
Candidate
0.19.9Stale
License
Apache-2.0

Build

TargetResultLast successful versionSucceeded at
rva23
0.19.6
rva20
0.19.6
x86_64
0.19.6

RuntimeDeps

Optional RuntimeDeps

DependencyObserved sourceCurrent requirementCandidate requirement
1.13.0
autodoc_pydanticUnmapped
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clang-formatUnmapped
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comet_mlUnmapped
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deepspeed-kernelsUnmapped
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0.38.0
0.22.4
futureUnmapped
—
googleUnmapped
—
3.1.0
9.0.0
liger-kernelUnmapped
—
Not observed
lm-evalUnmapped
—
mpi4pyUnmapped
—
Not observed
mupUnmapped
—
neural-compressorUnmapped
—
Not observed
25.0
4.6.0
7.35.1
7.2.2
9.0.0
2.12.5
9.0.3
1.6.0
4.1.0
3.8.0
qtorchUnmapped
—
qtorchUnmapped
—
recommonmarkUnmapped
—
0.8.0
1.17.1
0.2.1
9.1.0
sphinx-rtd-themeUnmapped
—
sphinx_rtd_themeUnmapped
—
0.10.0
tensorboardUnmapped
—
2.13.0
torchembedUnmapped
—
0.28.0
4.67.3
5.12.1
5.12.1
5.12.1
tritonUnmapped
—
tritonUnmapped
—
tritonUnmapped
—
Not observed
tritonUnmapped
—
Not observed
wandbUnmapped
—
xgboostUnmapped
—
Dependency conditions

Description

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective. It provides ZeRO-powered data parallelism, pipeline and tensor parallelism, optimized kernels, and memory-efficient optimizers for large-scale models.

Changelog

PR · 1

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Source last confirmed at 2026-11-10T13:16:34+00:00; repository refresh overdue.
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Metadata unavailable
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Current source component only; local patches, build options, bundled dependencies and binary artifacts are not evaluated.
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