Pricing

Run scalable virtual machines in minutes and match compute power to your workload. Choose the right CPU, RAM and operating system, then scale resources up or down as your project evolves and your infrastructure needs change.

Accelerate AI, machine learning, rendering and data processing with GPU-powered virtual machines. Select the performance you need, deploy quickly and scale capacity as demand grows across compute-intensive workloads.

Run flexible workloads at lower cost with Spot Virtual Machines. Launch compute capacity when you need it, scale quickly and optimize cloud spending for interruptible, fault-tolerant or temporary workloads.

Add fast, reliable block storage to your cloud environment and keep critical data close to your workloads. Expand capacity when needed, attach volumes easily and maintain consistent performance for demanding applications.

Store, protect and access large volumes of unstructured data with scalable object storage. Upload files, build data lakes, manage backups and keep your content available whenever you need it, without complex capacity planning.

Build generative AI applications with managed access to OCR, embedding and chat completion models. Process documents, create vector representations and generate or analyse text through API, without managing the underlying model infrastructure.

Build, train and run machine learning workloads with an integrated MLOps platform. Use MLOps Studio, AI Experiments and managed workloads to develop models, track experiments and move AI projects from development to execution without managing the underlying infrastructure.

Available on WAW4-1 Cloud

Build and run container-based applications with managed services for deployment, execution and image storage. Use Functions and Container Registry to run code on demand, deploy containerized workloads and manage images without maintaining the underlying infrastructure.

Available on WAW4-1 Cloud

Connect services asynchronously with managed messaging for queues, publish/subscribe and event streams. Use Message Broker or Message Streaming to route messages, absorb traffic peaks and build event-driven workflows without operating brokers or messaging clusters yourself.

Available on WAW4-1 Cloud

Develop and test data science and AI projects in ready-to-use notebook environments. Launch managed notebooks with the compute resources you need, work interactively with data and models, and scale your environment without managing the underlying infrastructure.

Available on LCJ1-1 Cloud

Distribute traffic across your applications to improve availability, performance and resilience. Add a load balancer, route requests efficiently and keep services running smoothly as demand changes or traffic spikes.

Connect your cloud resources and move data efficiently across services, regions and external networks. Choose the bandwidth you need, manage traffic with confidence and keep applications responsive as usage grows.

Extend your cloud setup with additional services that support security, automation, monitoring and day-to-day operations. Choose the tools you need and build an environment that works your way, from deployment to ongoing management.