GPUs in MLOps: Optimization, Pitfalls, and Management
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Flyte: Effortless Data & ML Workflows for Production
Whether it’s AWS, Azure, or GCP, try Union Cloud, powered by the award-winning Flyte™ orchestrator, to reduce project time, boilerplate code, and total pipeline costs by up to 90%.
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Union Cloud: The most advanced Flyte™ platform
Unlock critical ML performance insights and optimize AI workflows with Union Cloud. Identify bottlenecks, accelerate execution times, and streamline resource utilization for smoother data and ml workflow execution.
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Flyte™: an open-source orchestrator for scalable, reproducible data and ML pipelines, with a user-friendly interface and robust features.
Union Cloud: a managed Flyte™ version offering advanced observability, streamlined workflow execution, and robust RBAC support.
Discover why top ML organizations choose Flyte over alternatives like Airflow, Kubeflow, Prefect, and more
Kubernetes-native data and ML workflows without overhead
To develop excellent products, leading companies must coordinate complex workflows that integrate data, analytics and machine learning. Whether they use their own infrastructure or host on Union Cloud, these organizations choose Flyte over Airflow, Kubeflow and other orchestrators.
Flyte vs. Union Cloud
Flyte is available in two forms: a self-managed version and a version managed within Union Cloud.
We created Union Cloud to simplify the use of Flyte, which can be complex and typically requires dedicated specialists for setup. Union Cloud operates in your cloud environment. It extends Flyte’s features, offering enhanced visibility, inherent security, additional monitoring, and authorization.
Many of these features can be realized in both the open source project, Flyte, and the managed solution, Union Cloud. However, standing up and managing Flyte™ can be complex, and often requires dedicated infrastructure specialists to maintain the cluster and associated resources. Union Cloud is a managed solution that runs in your cloud environment and provides additional observability, built-in security, integrated monitoring and authorization.
“With Union Cloud as our standardized workflow orchestration platform, we can stop managing our own systems and infrastructure, and instead focus on antibody discovery and development.”
Alex Ford, Head of Data Platform at AbCellera Biologics
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A proven solution for data and machine learning workflows at scale
“Gojek is experiencing rapid growth and incorporating machine learning into various products. To sustain this growth and guarantee success, a reliable and scalable pipeline solution is critical. Flyte plays a vital role as a key component of Gojek’s ML Platform by providing exactly that.”
Pradithya Aria Pura, Principal Software Engineer at Gojek
Data Visualization
Visualization makes data easier to comprehend. Union Cloud provides first-class support for rendering data plots.
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Workflow Visualization
Enable comprehensive visualization through every step of your workflow to visualize your data, monitor your models & view training history through plots.
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Versioning
Data and ML practitioners require the ability to experiment and iterate without disrupting their workflow.
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Task Level Monitoring
Experience enhanced task-level monitoring with Union Cloud, empowering entire teams with valuable insights to optimize their workflows.
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Home of workflow orchestration for data and ML at scale.
The data and AI platform for faster product innovation
Union Cloud is a hosted version of Flyte™, managed by Flyte™’s creators.
Empower business, not bloated processes
As your growing data and ML pipelines require more computing power, your workflow orchestration platform must keep pace. Union Cloud is designed to scale, so you won’t have to worry about constant monitoring and maintenance. With Union Cloud, you can easily handle changing workloads and resource requirements, so your data and ML workflows always have the resources they need to succeed.
Use resources only when you need them
Kubernetes-native Union Cloud’s advanced resource management for large-scale data processing and AI workloads includes automatic resource allocation, automatic scaling and self-healing. Precisely adjust resources within your code — either during runtime or with real-time resource calculations — without modifying the underlying infrastructure. Optimize resources seamlessly, and enhance the overall efficiency of your system.
Keep your cloud options open
Union Cloud lets you package applications as containers and deploy them to your preferred cloud environments (like AWS or GCP) and even on-premise data centers. Deploying cloud-agnostic AI and data pipelines ensures workflows run in the best environment for the specific workload.
Accelerate your business
According to Gartner’s 2021 AI in Organizations Survey, organizations take an average of 7.3 months to move an AI initiative from prototype to production, and 47% of organizations take more than six months on average. Union Cloud reduces up to 90% of boilerplate code and delivers data, AI and analytics faster than any other platform.
