Cloud & infrastructure

AI workload execution: run sandboxes, workloads, managed models, saved workspaces and GPU compute

Storage space partners: read reservations, leads and organization details

Akash Network: query deployments, leases, providers, bids, GPUs, wallets and billing usage

Containers: create, start and inspect containers, plus images, volumes, networks and exec sessions

Streams and events: create and fetch events, register interests, read the event feed, and inspect node peers and version

Self-hosted deployment platform: deploy apps, manage containers, machines, domains and health checks

Files: upload, import, search, download and delete files and folders, plus signed URLs

Connect, secure and resell customer domains: DNS setup, SSL certificates, nameservers and drift monitoring

Infrastructure for AI agents: Postgres databases, auth, file storage, site hosting and functions

Cloud cost management: query cost reports, budgets, anomaly alerts, recommendations and billing data across workspaces

Backup control plane: manage organizations, backups, restores, edge pools and audit logs

Redis, vector and search databases, plus teams and QStash: create, configure and delete

Compute, LLM and research platform: manage cloud workspaces, tasks, billing, files and chat projects

Paasta platform: inspect and control services, autoscaling, Flink jobs, remote-run pods and cluster resources

Datacenter infrastructure: manage machines, VPCs, subnets, instances and sites across NVIDIA datacenters

Virtual machines on Kubernetes: manage VM backups, clones, and exports via the API

Hosting: manage organizations, projects, stages, apps, services, backups and users

Sandboxes, volumes, members, billing and SSO for developer platform accounts

Database services: manage services, backups, ClickPipes, saved queries, API keys, roles and usage costs

Account, node and billing management for Nerdit Cloud: link keys, MCP grants, audit exports and checkout

Postgres: create and manage databases, connections, backups, and usage metrics

Deploy apps into customer environments: manage apps, components, installs, runbooks and actions

Earth observation: run cloud processing on large satellite datasets, manage batch jobs, files and web services

Multi-cluster Kubernetes: manage clusters, policies, autoscaling, ingress, services and workloads across clusters