Listed together in guide “AI platforms and infrastructure”
Managed AWS service for building applications with foundation models from multiple providers via one API.
Paid
Use cases
- Enterprise apps that need a choice of models under one API
- RAG systems grounded in private company data
- Regulated workloads requiring AWS data controls
Pricing: Pricing is usage-based per input/output token, with on-demand and provisioned-throughput options.
Pricing ↗ · Documentation ↗ · Sources
This record was last reviewed on 2026-10-09.
Listed together in guide “AI platforms and infrastructure”
Google Cloud's platform for building and running AI models and agents, branded Gemini Enterprise Agent Platform (formerly Vertex AI).
Paid
Use cases
- Enterprise generative AI apps on Google Cloud
- Custom model training and tuning at scale
- Production MLOps and model monitoring
Pricing: Pricing is usage-based through Google Cloud, varying by model, training, and serving resources; new customers receive free credits.
Sources
This record was last reviewed on 2026-09-10.
Listed together in guide “AI platforms and infrastructure”
Microsoft's Azure platform for building, evaluating, and deploying AI applications and agents, branded Microsoft Foundry (formerly Azure AI Foundry).
Paid
Use cases
- Building enterprise copilots and agents
- Evaluating and comparing models before deployment
- Governed AI deployment with Azure compliance
Pricing: Pricing is usage-based through Azure, varying by model and service; many tools have no separate platform fee.
Sources
This record was last reviewed on 2026-10-09.
Related: shares the task Running models yourself
Provider of edge AI, cloud, network, and security services, including GPU cloud, serverless inference with OpenAI-compatible APIs, and a global edge network.
Freemium
Use cases
- Running GPU-accelerated AI workloads on H100 virtual machines
- Serving models through a serverless endpoint with OpenAI-compatible APIs
- Building private AI clouds with the AI Cloud Stack
Pricing: Gcore uses usage-based pricing with volume discounts. Some products, such as CDN, FastEdge, and DNS, offer free tiers, while AI and GPU usage is paid; H100 GPU virtual machines are billed per second and billing pauses when they are powered off.
Pricing ↗ · Documentation ↗ · Sources
This record was last reviewed on 2026-10-09.
Related: shares the task Running models yourself
Swiss-hosted AI service that serves open-source language, transcription and image models through an OpenAI-compatible API and a web app, billed on credits.
Freemium
Use cases
- Adding European-hosted chat, transcription or image generation to an application through one OpenAI-compatible key
- Running or fine-tuning models on GPU instances inside a Swiss cloud
- Giving a team a sovereign assistant inside email and collaboration tools
Pricing: Credit-based and usage-billed: the vendor's support guide says each request consumes a credit or LLM tokens, that one million free credits cover a first month without commitment, and that pricing is shown on the sales page; a credit card is required and a spending limit can be set. No flat plan price or per-token table was readable on the pages fetched, so this record sets no comparable paid_from figure.
Pricing ↗ · Documentation ↗ · Sources
This record was last reviewed on 2026-10-12.
Related: shares the task Running models yourself
AI cloud platform for workloads from training through inference, with NVIDIA GPU instances billed per GPU-hour, managed Kubernetes and Slurm, and token-based inference services.
Paid
Use cases
- Training and fine-tuning models on GPU clusters
- Running production inference for AI applications
- Scaling containerized workloads with managed Kubernetes or Slurm
Pricing: Pricing is usage-based: GPU compute per GPU-hour, plus storage and networking, with token-based inference on Token Factory. Some services are listed as free and promo credits are available, but there is no general free tier.
Pricing ↗ · Documentation ↗ · Sources
This record was last reviewed on 2026-10-09.
Related: shares the task Running models yourself
AI cloud provider offering GPU clusters, managed Kubernetes and Slurm, and a serverless inference API compatible with OpenAI SDKs.
Paid
Use cases
- Training and fine-tuning models on GPU clusters
- Running inference through a serverless, OpenAI-compatible API
- Operating containerized workloads on managed Kubernetes or Slurm
Pricing: Nscale does not publish a pricing page. Serverless inference is billed pay-as-you-go per token or request, compute is also available through reservations, and new accounts receive a small free credit according to the documentation.
Documentation ↗ · Sources
This record was last reviewed on 2026-09-10.
Related: shares the task Running models yourself
Serverless inference API from OVHcloud that serves open-weight language, vision, embedding, image and speech models through OpenAI-compatible endpoints, billed by usage.
Freemium
Use cases
- Adding chat, reasoning or coding assistance to an application without managing GPUs
- Getting embeddings, images or speech from the same OpenAI-compatible key
- Keeping inference inside European infrastructure for data-residency requirements
Pricing: Billed by usage rather than by subscription: each model's price per million tokens is published in the public catalogue, ranging from around €0.01 for an embedding model to about €0.91 for a large visual model, with a few models (moderation and image generation) listed as free. OVHcloud offers a US$200 Public Cloud free-trial credit to first-time projects. Rates change, so the catalogue is the source of record; this record sets no comparable paid_from figure.
Pricing ↗ · Documentation ↗ · Sources
This record was last reviewed on 2026-10-12.