Skip to main content

Seamlessly scale out TensorFlow and PyTorch for Big Data (using Spark & Ray)

Project description

BigDL Orca helps to seamlessly scale out TensorFlow and PyTorch pipelines for distributed Big Data.

See here for more information.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

bigdl_orca_spark2-2.5.0b20240308-py3-none-macosx_10_11_x86_64.whl (24.5 MB view details)

Uploaded Python 3 macOS 10.11+ x86-64

File details

Details for the file bigdl_orca_spark2-2.5.0b20240308-py3-none-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for bigdl_orca_spark2-2.5.0b20240308-py3-none-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 4007ecabd3cd921568549959a736f1d91708bfeeee52ad109989ae90a3c6cd86
MD5 b7ea5bf55f118480e21c4bec8d11b8f4
BLAKE2b-256 571295e337cbf869b1af2b54a830af656f65d1094e7e80a1d80d38836a5a2109

See more details on using hashes here.

File details

Details for the file bigdl_orca_spark2-2.5.0b20240308-py3-none-macosx_10_11_x86_64.whl.

File metadata

File hashes

Hashes for bigdl_orca_spark2-2.5.0b20240308-py3-none-macosx_10_11_x86_64.whl
Algorithm Hash digest
SHA256 6c79a77ccb660a894c2a5bbc65c8998bc8bc34a9f9bb41adee85af3fbce75d27
MD5 e5928c38a4ade5728dc3ad1ba58e67b3
BLAKE2b-256 0c19d46b2e1b4a72de8e9359ead0860097454daada0a04feec04f280b232254b

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page