Skip to main content

Distributed and Automated Model Inference on Big Data Streaming Frameworks

Project description

BigDL Cluster Serving is a lightweight distributed, real-time serving solution that supports a wide range of deep learning models.

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 Distribution

If you're not sure about the file name format, learn more about wheel file names.

bigdl_serving-2.1.0-py2.py3-none-any.whl (21.4 kB view details)

Uploaded Python 2Python 3

File details

Details for the file bigdl_serving-2.1.0-py2.py3-none-any.whl.

File metadata

  • Download URL: bigdl_serving-2.1.0-py2.py3-none-any.whl
  • Upload date:
  • Size: 21.4 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.6.0.post20200917 requests-toolbelt/0.9.1 tqdm/4.49.0 CPython/3.7.8

File hashes

Hashes for bigdl_serving-2.1.0-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 84638609fc02f2200ee4400a0bb5e782244f34cce5dfeb056e1b6415504fdda0
MD5 12bf36b7e20653e4c0ac45aef56266a4
BLAKE2b-256 05e561ae0f6baab7e544af9f077baf39a7cb56259964b522b3d006a736b08959

See more details on using hashes here.

Supported by

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