Serving machine learning workloads in resource constrained environments: A serverless deployment example

A Christidis, R Davies… - 2019 IEEE 12th …, 2019 - ieeexplore.ieee.org
Deployed AI platforms typically ship with bulky system architectures which present
bottlenecks and a high risk of failure. A serverless deployment can mitigate these factors and …

Serving Machine Learning Workloads in Resource Constrained Environments: a Serverless Deployment Example

A Christidis, R Davies, S Moschoyiannis - 2019 IEEE 12th …, 2019 - computer.org
Deployed AI platforms typically ship with bulky system architectures which present
bottlenecks and a high risk of failure. A serverless deployment can mitigate these factors and …

[PDF][PDF] Serving Machine Learning Workloads in Resource Constrained Environments: a Serverless Deployment Example

A Christidis, R Davies, E Analytics, S Moschoyiannis - … .esploro.exlibrisgroup.com
Deployed AI platforms typically ship with bulky system architectures which present
bottlenecks and a high risk of failure. A serverless deployment can mitigate these factors and …

[PDF][PDF] Serving Machine Learning Wor? loads in Resource Constrained Environments: a Serverless Deployment Example

A Christidis, R Davies, E Analytics, S Moschoyiannis - academia.edu
YY Deployed AI platforms typically ship with bulky system architectures which present
bottlenecks and a high risk of failure. A serverless deployment can mitigate these factors and …

[PDF][PDF] Serving Machine Learning Workloads in Resource Constrained Environments: a Serverless Deployment Example

A Christidis, R Davies, E Analytics, S Moschoyiannis - openresearch.surrey.ac.uk
Deployed AI platforms typically ship with bulky system architectures which present
bottlenecks and a high risk of failure. A serverless deployment can mitigate these factors and …

[PDF][PDF] Serving Machine Learning Wor? loads in Resource Constrained Environments: a Serverless Deployment Example

A Christidis, R Davies, E Analytics, S Moschoyiannis - researchgate.net
YY Deployed AI platforms typically ship with bulky system architectures which present
bottlenecks and a high risk of failure. A serverless deployment can mitigate these factors and …

[PDF][PDF] Serving Machine Learning Workloads in Resource Constrained Environments: a Serverless Deployment Example

A Christidis, R Davies, E Analytics, S Moschoyiannis - openresearch.surrey.ac.uk
Deployed AI platforms typically ship with bulky system architectures which present
bottlenecks and a high risk of failure. A serverless deployment can mitigate these factors and …