KServe
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What is KServe?
KServe is an open-source model serving framework built on Kubernetes. It is designed to simplify the deployment and management of machine learning models, providing features like autoscaling, traffic management, and canary deployments. It is commonly used to serve models for online inference, enabling real-time predictions from machine learning models.
What other technologies are related to KServe?
KServe Competitor Technologies
Seldon Core
Seldon Core is another open-source platform for deploying machine learning models on Kubernetes. It provides similar functionalities to KServe, making them direct competitors in the model serving space.
AWS Sagemaker
AWS SageMaker is a managed machine learning service that provides model deployment capabilities, making it a competitor to KServe.
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KServe Complementary Technologies
Kubeflow
Kubeflow is a machine learning platform designed to run on Kubernetes. KServe can be used as a component within Kubeflow for model serving, making it a complementary technology.
Triton
Triton Inference Server is a high-performance inference serving solution. KServe can use Triton as a backend for serving models, making them complementary.
Knative
KServe is built on Knative for serverless deployments. Knative provides the underlying infrastructure for auto-scaling and request routing.
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Which job functions commonly mention KServe?
MLOps Engineer
0.5% of all MLOps Engineer jobs mention KServe
View 43
jobs on Sumble
Machine Learning
0.2% of all Machine Learning jobs mention KServe
View 204
jobs on Sumble
AI Engineer
0.1% of all AI Engineer jobs mention KServe
View 78
jobs on Sumble
Platform Engineer
0.1% of all Platform Engineer jobs mention KServe
View 40
jobs on Sumble
Software Engineer
135 Software Engineer jobs mention KServe
View 135
jobs on Sumble
Which organizations are mentioning KServe?
Hewlett Packard Enterprise | HPE
Scientific and Technical Services
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