Lower barriers to build intelligent applications
Deploy a serverless endpoint in a snap. Allows App developers and ML engineers to innovate together. Power customer experiences in production with ML.
Bring AI Exploration to next stage of Production - sustainable , industrial-grade AI Systems.
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Deploy a serverless endpoint in a snap. Allows App developers and ML engineers to innovate together. Power customer experiences in production with ML.
Create once, deploy in any cloud. A systematic and repeatable workflow for serverless deployment. Access deployment capabilities of Physarum engine through web interface, Physarum DSL or directly from Jupyter Notebooks
Create once, deploy in any cloud
Systematic and repeatable workflow for serverless deployment
Deployment capabilities accessible from all interfaces
Compose ML stages using web interface, Physarum DSL or from Jupyter Notebooks. Deploy training job on-prem or on any cloud. Reduce training time by distributing training job
ML stages broken into components
Deploy training job on-prem or on any cloud
Reduce training time by distributing training job
Deploy, and operate large-scale event-driven systems that can take advantage of streaming data and seamlessly integrate with machine learning systems
Deploy, and operate large-scale event-driven systems
Event-driven systems powered by streaming data
Seamless integration of streaming with machine learning systems
Standardise model serving accross ML frameworks with capabilities including Canaries , Model Explainers, Monitoring, Request Logging, Outlier Detectors and more
Standardise model serving accross ML frameworks
Capabilities like Canaries , Model Explainers, Monitoring, Request Logging, Outlier Detectors
Spin fully loaded developer environment in a few minutes which comes with pre-installed libraries for data science and machine learning
Spin fully loaded developer environment in a few minutes
Developer environment with pre-installed libraries for data science and machine learning
Deploy, manage and maintain your cloud using web interface, Physarum DSL or CLI. Automated deployment and portability across cloud vendors powered by kubernetes. Cluster recommendation service based on cloud cost analyser - save cloud cost by choosing suitable cloud vendor
Deploy, manage and maintain cloud services
Automated deployment and portability across cloud vendors
Deployment powered by kubernetes
Cluster recommendation service based on cloud cost analyser
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