Skip to content

Intel® AI Reference Models v3.0.0
Compare
Choose a tag to compare
@WafaaT WafaaT released this 19 Oct 16:23
v3.0.0
66e8a95
This commit was created on GitHub.com and signed with GitHub’s verified signature. The key has expired.
GPG key ID: 4AEE18F83AFDEB23
Expired
Learn about vigilant mode.

New features

  • Model Zoo for Intel® Architecture is rebranded as Intel® AI Reference Models to reflect it's purpose of showcasing to external audiences the internally achieved best performance configurations for critical workloads on Intel® Architecture.

  • Updates Intel® Data Center GPU Max Series 1550 x4 OAM workloads scripts for the best known configurations.

  • Introduces the initial version of Jupyter notebook interface for Intel® AI Reference Models.

  • Distributed training is supported for the following PyTorch models with different precisions: ResNet50, SSD-ResNet34, DLRM, MaskRCNN, RNNT and BERT Large.

  • Updated Transfer Learning Jupyter notebooks.

  • New supported workloads:

    • MemRec DLRM FP32 inference: introducing Memory Efficient Recommendation System using Alternative Representation (MemRec). MemRec is a technology for alternative representation of embedding tables. It uses bloom filters and hashing techniques to encode embedding tables in a much smaller memory footprint optimized to make use of hierarchical cache architecture of Intel Xeon platforms. MemRec encodes DLRM embedding tables into two cache-friendly embedding tables to maximize predictive performance and increase recommendation accuracy.
    • DLRM v2 training and inference with different precisions for GPU and CPU platforms.

  • This release contains many bug and CVE fixes to the previous versions.

Supported Configurations

Intel® AI Reference Models v3.0.0 is validated on the following environment:

  • Ubuntu 22.04 LTS
  • Ubuntu 20.04 LTS
  • Windows 11
  • Windows Subsystem for Linux 2 (WSL2)
  • Python 3.9, 3.10
Assets 2
Loading