Polyaxon on Ubuntu 24.04 with maintenance support by PCloudhosting

Polyaxon 2.12.0 on Ubuntu 24.04 is with free maintenance support from pCloudhosting. This is a solid repackaged open-source setup. If you need premium hands-on support later, there may be extra charges, but the core maintenance and updates are included at no cost.

This Amazon Machine Image (AMI) delivers a fully configured, ready-to-launch environment for Polyaxon, the powerful end-to-end MLOps and deep learning platform that makes building, training, deploying, and monitoring ML/AI models way easier and more scalable. Whether you're a solo researcher or part of a big team, it lets you focus on the science instead of wrestling with infrastructure.

Polyaxon is an open-source MLOps powerhouse built for the full machine learning lifecycle. It runs natively on Kubernetes (perfect for scaling), delivers reproducible experiments, supports smart workflow orchestration, and enables efficient resource management so that teams can collaborate without chaos. It handles everything from spinning up distributed training jobs to tracking every detail of your models and smoothly pushing them to production.

• Experiment tracking done right Automatically logs metrics, hyperparameters, code versions, artefacts, logs, visualisations, and resource usage across hundreds or thousands of runs. Compare results side-by-side in a clean dashboard.
• Workflow orchestration & pipelines Build complex, dependency-aware pipelines (DAGs) that chain data prep, training, evaluation, and deployment steps. Schedule and automate them effortlessly.
• Hyperparameter optimisation & distributed training Run parallel experiments with built-in optimisers (grid, random, Bayesian), and scale training across GPUs/TPUs with frameworks like PyTorch Distributed, Horovod, or native operators.
• Model and data management Version models, datasets, and artefacts with full provenance. Registry for models and a component hub for reusable building blocks with RBAC and governance.
• Collaboration & scalabilityMulti-user support with projects, teams, permissions, quotas, and agents that manage multiple clusters. Great for enterprises needing compliance and audit trails.

• Broad framework support Works seamlessly with TensorFlow, PyTorch, Scikit-learn, Hugging Face Transformers, MXNet, PaddlePaddle, Ray, and basically any containerised ML/DL library you love.
• Monitoring & insights Built-in logging, dashboards, and integrations for continuous visibility into performance, costs, and bottlenecks.
• Deployment flexibility Launch training/serving jobs on any compute (EC2, spot instances, EKS clusters), with auto-scaling and queue management to keep costs down.
• Reproducibility first Everything is versioned and containerised, so you can rerun any experiment exactly as it was, months later, with confidence.

• Lightweight & efficient Minimal base images following best practices-quick boot times and low overhead, so more resources go to your models.
• Easy to configure & flexible- Rolling tags let you pick precise versions and flavours, whether you're testing locally or scaling in production.
• Optimized for AWS Cloud Marketplace- One-click deploy on EC2, EKS, or other AWS services. Trusted packaging means fast setup, seamless integration with your VPCs, IAM, and data pipelines - get your MLOps running without the usual headaches.

If you're tired of messy notebooks, inconsistent environments, or wasting time on infra instead of improving models, Polyaxon gives you a clean, professional-grade platform that's scalable from laptop to cluster. It's developer-friendly for quick experiments but tough enough for enterprise production workloads.

Fire up this AMI on AWS and start orchestrating your next big ML project - you'll wonder how you ever managed without it!