Dell products l.p. (20240177067). SYSTEM AND METHOD FOR MANAGING DEPLOYMENT OF RELATED INFERENCE MODELS simplified abstract
Contents
- 1 SYSTEM AND METHOD FOR MANAGING DEPLOYMENT OF RELATED INFERENCE MODELS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 SYSTEM AND METHOD FOR MANAGING DEPLOYMENT OF RELATED INFERENCE MODELS - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
SYSTEM AND METHOD FOR MANAGING DEPLOYMENT OF RELATED INFERENCE MODELS
Organization Name
Inventor(s)
OFIR Ezrielev of Beer Sheva (IL)
JEHUDA Shemer of Kfar Saba (IL)
SYSTEM AND METHOD FOR MANAGING DEPLOYMENT OF RELATED INFERENCE MODELS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240177067 titled 'SYSTEM AND METHOD FOR MANAGING DEPLOYMENT OF RELATED INFERENCE MODELS
Simplified Explanation
The abstract describes methods and systems for managing inference models hosted by data processing systems. Inference models are selected for deployment based on shared computations and may be divided into portions to distribute the computation load across multiple systems.
- Inference models are preferentially selected for deployment if they share computations with other models.
- Models can be divided into portions to distribute computation load across multiple data processing systems.
Potential Applications
This technology could be applied in various fields such as:
- Machine learning
- Artificial intelligence
- Data analytics
Problems Solved
This technology helps in:
- Efficiently managing inference models
- Distributing computation load effectively
- Optimizing deployment locations based on data sources and consumers
Benefits
The benefits of this technology include:
- Improved performance of data processing systems
- Enhanced scalability of inference models
- Optimal resource utilization
Potential Commercial Applications
Potential commercial applications of this technology include:
- Cloud computing services
- Data processing platforms
- AI and machine learning solutions
Possible Prior Art
One possible prior art could be the use of load balancing techniques in distributed computing systems to optimize resource allocation and improve performance.
What are the specific load balancing algorithms used in this technology?
The specific load balancing algorithms used in this technology are not mentioned in the abstract.
The abstract does not provide information on how this technology addresses security and privacy concerns related to inference models.
Original Abstract Submitted
methods and systems for managing inference models hosted by data processing systems are disclosed. to manage the inference models, inference models that may share computations with other inference models may be preferentially selected for deployment. additionally, the inference models may be divided into portions to distribute the computation load across more data processing systems. the location of deployment of the portions of the inference models may be preferentially selected based on the locations of data sources and inference consumers.
