UbiOps

What is UbiOps?

UbiOps is a revolutionary AI infrastructure platform that sets the bar high for AI model serving and orchestration. With UbiOps, teams can effortlessly deploy their AI and ML workloads as reliable microservices without the hassle of managing complex cloud infrastructure. UbiOps integrates seamlessly into your data science workbench, allowing you to focus on developing AI products rather than worrying about infrastructure.

UbiOps offers a turn-key solution for building production-grade ML/AI workloads in a fraction of the time it would traditionally take. From fine-tuned language models to computer vision models, UbiOps streamlines the process of deploying models and functions, enabling you to train and deploy any AI or machine learning model with scalable inference endpoints. With UbiOps, the path to production-grade AI services is faster and more efficient than ever before.

UbiOps prides itself on its built-in capabilities that take AI products to the next level. By providing the fastest route to production-grade ML/AI workloads, UbiOps empowers data science teams to deploy models and functions in a matter of minutes, rather than weeks. The platform offers built-in version control, simple rollback, monitoring, logging, and more, ensuring that your AI products are secure, compliant, and efficient. UbiOps is the go-to choice for organizations looking to scale their AI initiatives effortlessly.

UbiOps' customer success stories speak volumes about the platform's impact on various industries. From on-demand computer vision model inferencing for digital farming to medical breakthroughs in immunotherapy treatment, UbiOps has enabled organizations to achieve remarkable results. By providing rapid, on-demand scaling of AI workloads on GPUs without the complexities of cloud infrastructure, UbiOps is transforming the way AI and ML workloads are managed and deployed. With UbiOps, the possibilities are endless for organizations seeking to leverage AI and ML technologies.

UbiOps is more than just an AI infrastructure platform—it's a game-changer for data scientists and teams looking to turn their data science models into live, scalable applications. With UbiOps, any data scientist, regardless of experience level, can deploy AI/ML models as scalable services with their own APIs or as part of pipelines with multiple services. Whether you're a self-taught data scientist or part of a large data science team, UbiOps offers the tools and capabilities to drive innovation and efficiency in your AI initiatives.

UbiOps Features

Feature 1: AI Model Serving & Orchestration

AI Model Serving & Orchestration by UbiOps is a key feature that allows users to quickly run their AI & ML workloads as reliable and secure microservices. This feature ensures that AI models are deployed efficiently without disrupting existing workflows.

• UbiOps allows users to seamlessly integrate AI Model Serving & Orchestration into their data science workbenches within minutes. It eliminates the need for time-consuming setup and management of costly cloud infrastructure. Users can deploy models and functions in just 15 minutes, saving significant time and effort.

Feature 2: On-demand GPU

The On-demand GPU feature by UbiOps allows users to instantly scale AI and machine learning workloads on GPU on-demand. This feature is designed to optimize compute and enhance performance for computationally intensive tasks.

• Users can dynamically scale their AI workloads based on usage without paying for idle time. The feature offers rapid adaptive scaling, accelerates model training and inference with instant access to powerful GPUs, and provides automatic scaling and zero-scaling for peak loads. Additionally, UbiOps supports hybrid and multi-cloud workload orchestration, enabling users to deploy models on their own infrastructure or private cloud.

Feature 3: Built-in Capabilities for AI Products

UbiOps offers built-in capabilities to take AI products to the next level, providing users with the fastest route to production-grade ML and AI workloads. This feature simplifies the deployment and management of AI services, enabling teams to focus on innovation and development.

• With UbiOps, users can deploy models and functions in minutes, significantly reducing the time-to-market for AI products. The platform offers built-in AI infrastructure, ensuring that users can manage multiple AI workloads simultaneously from a single control plane. Additionally, UbiOps provides secure and compliant features such as end-to-end encryption, secure data storage, and access controls.

How to Use UbiOps?

• Visit the UbiOps homepage at www.ubiops.com.
• Click on 'Go to my account' or 'Try for free'.
• Fill in your details to create an account or log in with your existing credentials.

• After logging in, you will land on the UbiOps dashboard.
• Familiarize yourself with the main sections: Deployments, Pipelines, Jobs, and Settings.
• Review any notifications or updates provided by UbiOps.

• In the 'Deployments' section, click on 'New Deployment'.
• Enter a name and description for your deployment.
• Upload your AI or ML model in the provided section. Supported formats include PyTorch and TensorFlow models.
• Specify any required environment variables or dependencies.

• Navigate to the 'Settings' tab within your deployment.
• Configure the computing resources such as CPU, memory, and GPU requirements.
• Set up version control, enabling rollback and monitoring options as necessary.
• Activate end-to-end encryption and access controls to ensure secure data handling.

• Once the configuration is complete, click on 'Deploy'.
• Monitor the deployment status and logs to ensure successful deployment.
• UbiOps provides real-time status updates, so keep an eye on the dashboard.

• Go to the 'Pipelines' section and click on 'New Pipeline'.
• Add multiple deployments or sub-pipelines to the workflow.
• Customize the inputs, add operators, and define the workflow logic.
• Save and activate your pipeline to start processing jobs.

• Navigate to the 'Jobs' section.
• Click on 'New Job' to execute a specific deployment or pipeline.
• Monitor the job progress, check the logs, and view outputs directly on UbiOps.
• Set up notifications or alerts for job completions or failures.

• In the 'Settings' section of each deployment, configure adaptive scaling settings.
• Enable auto-scaling to dynamically adjust compute resources based on current workloads.
• Utilize on-demand GPU resources to handle peak loads or high compute requirements efficiently.

• Review the security settings under 'Settings' of your UbiOps account.
• Enable end-to-end encryption, secure data storage, and access controls.
• Ensure compliance with regulations such as GDPR and SOC 2 by configuring appropriate settings.

• Access the comprehensive documentation available on UbiOps by clicking 'Documentation'.
• Watch video guides and tutorials for a step-by-step understanding of features.
• Reach out to UbiOps support or utilize the Slack Community for additional help.

UbiOps Frequently Asked Questions