PATENT CLAIM ANALYSIS

Application Number: 16046102
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-04
Patent Classification: ["709", "217000"]

Abstract:
Data transformation offloading in an artificial intelligence infrastructure that includes one or more storage systems and one or more graphical processing unit (‘GPU’) servers, including: storing, within the storage system, a dataset; identifying, in dependence upon one or more machine learning models to be executed on the GPU servers, one or more transformations to apply to the dataset; and generating, by the storage system in dependence upon the one or more transformations, a transformed dataset.

Claim (Index 15):
An apparatus for data transformation offloading in an artificial intelligence infrastructure that includes one or more storage systems and one or more graphical processing unit (\u2018GPU\u2019) servers, the apparatus comprising a computer processor and a computer memory operatively coupled to the computer processor, the computer memory having disposed within it computer program instructions that, when executed by the computer processor, cause the apparatus to carry out the steps of:\n scheduling, by a unified management plane, one or more transformations for one or more of the storage systems to apply to the dataset; scheduling, by the unified management plane, execution of one or more machine learning algorithms associated with the machine learning model by the one or more GPU servers; storing, within the storage system, a dataset; identifying, in dependence upon one or more machine learning models to be executed on the GPU servers, one or more transformations to apply to the dataset; and generating, by the storage system in dependence upon the one or more transformations, a transformed dataset.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 95.0
- Lexical Diversity: 1.76471
- Patent Class: 709.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16046337', '16040996', '16040846', '16045814', '15883333']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2962728279645538
- 35 USC 102 Novelty (BERT): 0.5560843624815609
- Combined Prediction Score: 0.3222539814162545
- Mean Citation Score: 374.579888
- Max Citation Score: 425.16223
- Similarity Product: 384.5792855188902

Labels:
- Claim Label 101: 0
- Claim Label 102: 0
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test