Makes it easy for machine learning developers, data scientists, and data engineers to take their ML projects from ideation to production and deployment, quickly and cost-effectively. | It has a unified, easy-to-use API and platform to access and deploy GPU workloads to any provider. It guarantees inference and training jobs will run on time at optimal cost. |
“No lock-in” flexibility;
Supports Kubeflow;
Supports TensorFlow;
Supports TPUs;
Build portable ML pipelines;
on-premises or on Google Cloud;
TFX tools | One click deployment, any cloud;
Choose from an A10 to H100s for training and inference;
Be running in minutes;
No setup required |
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Followers 119 | Followers 1 |
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Integrations | |

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