Cloud & infrastructure

GPU compute: rent cloud GPU nodes and clusters, top up balance, manage workspaces and billing

Cloud infrastructure: manage Droplets, Kubernetes clusters, databases, storage, networking and apps

AI sandboxes: run Devboxes, Blueprints, secrets, network policies and PTY shell sessions for agent workflows

Storage: pin content and manage collections, deal estimates, and miners via IPFS-style endpoints

Cloud platform: manage Sparks sessions, notebooks, catalogs, tasks, storage and users

Akash console backend: deployments, leases, bids, wallets, billing and GPU provider data

Networking, security and edge services: manage DNS, tunnels, Workers, WAF rules, Access policies and Radar threat data

GPU cloud: launch instances and sandboxes, manage SSH keys, images, snapshots and billing alerts

Managed databases: provision services, manage backups, ClickPipes, dashboards, keys and billing

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

Sia storage host: configure settings, manage volumes and contracts, read chain state, and set alerts and webhooks

Hosting, email, phone numbers, voice AI, SMS, payments and sites via one REST API and MCP

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

Server management: create, read, update and delete servers, plus user placeholders and the current user

Hosting: deploy HTML to unguessable URLs, manage links, domains, versions and billing

GPU and CPU compute: rent instances, spot bids, reservations, volumes and Kubernetes clusters

Telecom tower analysis: run structural checks on masts, loads, materials and ancillaries

Gateway: route requests to downstream services, check tokens and health status

Database platform: manage projects, branches, endpoints, roles, functions, storage and API keys

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

GPU cloud: rent pods and Slurm clusters, run evals, training, disks and billing

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

Hosting: deploy apps, manage domains, env vars, logs, crash reports and rollbacks

Kubernetes: register clusters, manage namespaces, plans and install commands