Oracle Cloud Infrastructure Compute
docs.oracle.comProvision virtual machines or bare-metal compute instances with configurable shapes and networking.
Provision virtual machines or bare-metal compute instances with configurable shapes and networking.
Deploy Linux virtual machines with selectable regions, images, CPU plans, and SSH access.
A browser-based Python notebook environment that runs on hosted compute and can load or share Jupyter notebooks.
Launch shared or dedicated virtual machines from operating-system images, Marketplace apps, or custom ISOs.
Run event handlers, HTTP workloads, or isolated compute without managing servers.
Run a managed SQL Server database in Azure, with serverless and provisioned compute options.
Run container tasks on AWS without provisioning the underlying servers or clusters.
Build WebAssembly request handlers and deploy them across Fastly's edge network.
Run multiple containers on OCI serverless compute without creating a Kubernetes cluster.
AI cloud for training and serving models at scale.
Train, deploy, and improve AI models on integrated compute, training, inference, and sandbox tools.
Run DuckDB-based analytics in a managed cloud warehouse and share results with a team.
Run GitHub Actions-compatible workflows on Depot compute with local-run and job-debugging tools.
Build and train Python machine-learning models with tensor operations, neural-network layers, and automatic differentiation.
A managed cloud database for transactional SQL, analytics, and multi-model workloads.
Provision self-managed cloud VMs through a portal, CLI, API or Terraform, using predefined sizes and per-second billing.
Provision VPC virtual servers from preset profiles with private-network controls.
Build VM instances from preset or custom machine configurations on Google Cloud.
Scale a KVM Linux VPS by adding resource slices as requirements grow.
Provision Linux and Windows virtual machines with configurable images, networking, and billing modes.
AI-native cloud platform with compute, databases, storage, and inference on one stack.
Provision self-hosted development workspaces that developers can open through a browser IDE or desktop editor.
Define cloud CI/CD workflows as repository-stored YAML or through a visual editor.
An analytical database offered as a managed service and as a self-managed engine.