PERIANxFlyte: Reduce Cost, save Time and boost Performance of your ML Workflows

How Flyte and PERIAN let you reduce infrastructure overhead and cost while boosting performance of your ML workflows


Let’s be honest—when it comes to machine learning, managing infrastructure is often the least glamorous part of the process. You feel like a tech-demi-god dealing with sophisticated tasks like model training and data processing, and suddenly you find yourself writing Kubernetes YAML, wrestling with GPU operators, and setting up complex and confusing cloud platforms. It can get overwhelming and annoying fast. 


But it doesn’t have to be like that. Say hello to Flyte and PERIAN—two powerful platforms that remove your infrastructure headaches and let you focus on your product, not the tools to build it. In a recent Flyte Community Meeting, PERIAN's Co-Founder and CTO, Omar Tarabai, showcased how these two platforms simplify machine learning pipelines, making them more developer-friendly and scalable. Did you miss the session? Don’t worry, we’ve got the highlights for you in this blog post.



Key Takeaways (TL;DR)


Here’s why you should be excited about this Flyte and PERIAN combo: 


  • • Flyte makes orchestration effortless: Managing complex workflows is easy with Flyte’s asset-based workflows and dynamic partitioning, especially for data-driven tasks. 

  • • PERIAN scales your compute infrastructure seamlessly : Need some GPU acceleration for a good price? PERIAN automatically provides serverless best-value compute sourced from multiple clouds—save time for cloud ops, reduce your compute costs by 30-80% and always get the GPUs you need on-demand.

  • • Production-ready pipelines, simplified: With Flyte’s intuitive interface and PERIAN’s multi-cloud-scaling capabilities, you’re set up for building and deploying production-ready machine learning systems without any concerns about orchestration and compute infrastructure. It is all about developing your ML models.



How Flyte and PERIAN help you save money, time and nerves


Flyte makes it easy to build and deploy data and ML pipelines. It organizes machine learning workflows smoothly, allowing fast experimentation, easy reproducibility, and effortless scaling from development to production. Key features include strong typing and versioning to prevent errors and keep things reproducible, adaptable workflows that adjust to different inputs, and full data tracking from start to finish for better transparency and accountability in ML projects.


Now, let’s have a look at PERIAN, a serverless sky computing platform designed for scaling cloud infrastructure without the usual headaches coming with it. PERIAN leverages multiple cloud providers to ensure you always have access to the best-performing and most cost-efficient GPU resources available. Whether you need high-performance GPUs or want your compute run in a specific geographic region, PERIAN automates it all—from resource provisioning to scaling to cleanup, eliminating the need for manual cloud infrastructure management.


This means no more wrestling with Kubernetes, no more high GPU costs, and no more worrying about unavailability for your business crucial ML projects. PERIAN handles the entire lifecycle of cloud infra so you can zero in on what matters—your machine learning models. 



In the Demo Talk: Unlocking Multi-Cloud GPU Power for Flyte Workflows


What happens when you bring Flyte and PERIAN together? In his talk, Omar demoed how easy it is to combine Flyte tasks with PERIAN's multi-cloud capabilities. Think of simply specifying the compute requirements for your task—like the number and type of GPUs and server location—and letting PERIAN do the rest. PERIAN automatically finds the best cloud resource (whether it’s in Google Cloud, OVH, Exoscale, or another provider) and executes the task, without you having to touch cloud infrastructure. 


PERIAN is your all-in-one-cloud that let's you harness the full power of distributed, serverless computing for your demanding compute workloads. Whether you’re training large-scale machine learning models or processing massive datasets, Flyte keeps the orchestration smooth while PERIAN optimizes the infrastructure in the background. 



Want to learn more?



If you're interested to dive deeper and test it out, feel free to drop us a message at [email protected] or directly sign-up on the PERIAN Sky Platform. We'll get in touch with you and we're happy to help you run a PoC!