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Ubiops
Overview :
UbiOps is an AI infrastructure platform that helps teams run their AI and machine learning workloads as reliable and secure microservices without needing to change their existing workflows. It provides zero-DevOps super-fast pipeline, optimized compute resources, support for LLMs and CV models, and more. UbiOps supports hybrid and multi-cloud workload orchestration, enabling deployment of models in private or public cloud environments, ensuring data and models always stay in the user's environment. In addition, UbiOps also provides built-in security features such as end-to-end encryption, secure data storage, and access control, helping businesses comply with relevant regulations.
Target Users :
UbiOps is well-suited for teams that require rapid, reliable, and secure execution of AI and machine learning workloads. Whether you are a startup or a large organization's data science team, UbiOps offers strong support. It is particularly useful for businesses that need to deploy AI models in private environments, need dynamic scaling of computing resources, and need to comply with specific regulations.
Use Cases
Reef Support uses UbiOps to train AI models for coral reef protection.
Real-time computer vision model inference for on-demand agricultural workload.
National Cyber Security Center partners with UbiOps to innovate digital security in the Netherlands.
How to Use
1. Visit the UbiOps website and register an account.
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2. Integrate UbiOps into your data science workspace and start using it.
3. Select the AI model or machine learning model you want to deploy.
4. Configure the deployment environment of the model, including compute resources and security settings.
5. Deploy the model and test its functionality.
6. Monitor the performance and usage of the model, and make adjustments as needed.
7. Take advantage of UbiOps's automated scaling feature to handle spikes in workload.
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