# Arrakis

> Arrakis is a GPU rental service by Good AI Labs that finds the lowest live price across independent GPU markets and rents machines on one prepaid balance, with spend caps and automatic shutdown so AI agents can rent safely.

Arrakis (https://arrakis.goodailabs.com) is in early access and is built by Good AI Labs (https://goodailabs.com). Every page on this site has a Markdown twin: `/` is `/index.html.md`, `/gpus/h100` is `/gpus/h100.html.md`, and so on. Agents connect over MCP at `/mcp` (streamable HTTP, `Authorization: Bearer ark_...`) or over the REST API described by `/openapi.json`. The live market summary at `/v1/market/summary` needs no token.

## Key facts

- What it is: A GPU rental service that finds the lowest live price across independent GPU markets and rents machines on one prepaid balance.
- Who it is for: AI engineers, researchers and the coding agents they work with.
- GPUs: H100, H200, B200, B300, A100, RTX PRO 6000, RTX 5090, RTX 4090, L40S, RTX 6000 Ada, RTX A6000, RTX 3090 and more, depending on live supply.
- How you rent: Web console, CLI, REST API, or MCP for agents at /mcp.
- Pricing: Pay the hourly price shown when you rent, from a prepaid balance, an hour at a time. No subscription and no minimum.
- Agent safety: Spend-capped tokens, a required removal time on every rental, and retry-safe rentals with idempotency keys.
- Access: SSH as root into machines running any Docker image. Volumes for data and checkpoints.
- Live market: 147 GPUs on 44 machines, H100 from $1.77 per GPU-hour (13 Oct 2026, 17:09 UTC).
- Billing: From start to removal at the price shown when you rent. A started hour counts as a full hour.
- MCP endpoint: https://arrakis.goodailabs.com/mcp, streamable HTTP with a bearer token.
- Status: Early access. Built by Good AI Labs (goodailabs.com).

## Live GPU prices

Updated 13 Oct 2026, 17:09 UTC. Lowest price per GPU-hour, cheapest machine of each GPU, in US dollars. CSV: [/gpus.csv](/gpus.csv).

- H100 80GB HBM3: from $1.77 per GPU-hour, 35 GPUs on 5 machines ([details](/gpus/h100.html.md))
- H200: from $3.40 per GPU-hour, 15 GPUs on 4 machines ([details](/gpus/h200.html.md))
- B200: from $5.60 per GPU-hour, 18 GPUs on 4 machines ([details](/gpus/b200.html.md))
- B300 SXM6 AC: from $6.99 per GPU-hour, 30 GPUs on 4 machines ([details](/gpus/b300.html.md))
- A100 80GB PCIe: from $0.65 per GPU-hour, 21 GPUs on 7 machines ([details](/gpus/a100.html.md))
- RTX PRO 6000 Blackwell Server Edition: from $1.75 per GPU-hour, 4 GPUs on 2 machines ([details](/gpus/rtx-pro-6000.html.md))
- RTX 5090: from $1.00 per GPU-hour, 2 GPUs on 2 machines ([details](/gpus/rtx-5090.html.md))
- RTX 4090: from $0.49 per GPU-hour, 2 GPUs on 1 machine ([details](/gpus/rtx-4090.html.md))
- RTX A6000: from $0.42 per GPU-hour, 8 GPUs on 7 machines ([details](/gpus/rtx-a6000.html.md))
- RTX 6000 Ada: from $0.70 per GPU-hour, 6 GPUs on 6 machines ([details](/gpus/rtx-6000-ada.html.md))
- RTX 3090: from $0.22 per GPU-hour, 6 GPUs on 2 machines ([details](/gpus/rtx-3090.html.md))

## Start here

- [Agent guide](/agents.html.md): connect over MCP, the eight tools, and the rules that keep unattended spend safe
- [Live market summary](/v1/market/summary): lowest price and supply per GPU family, public JSON
- [GPU prices](/gpus.html.md): every GPU family Arrakis can rent
- [MCP endpoint and tools](/docs/mcp.md): Claude Code, Cursor, any client, and local stdio
- [OpenAPI 3.1 spec](/openapi.json): the complete machine-readable API
- [Interactive API reference](/docs)

## GPUs

- [NVIDIA H100](/gpus/h100.html.md): The standard GPU for training and serving large language models
- [NVIDIA H200](/gpus/h200.html.md): The H100's compute with far more memory and bandwidth
- [NVIDIA B200](/gpus/b200.html.md): Blackwell-generation performance with FP4 and FP8
- [NVIDIA B300](/gpus/b300.html.md): Blackwell Ultra, with the most memory per GPU of any GPU on Arrakis
- [NVIDIA A100](/gpus/a100.html.md): A proven workhorse with the widest software support
- [NVIDIA RTX PRO 6000](/gpus/rtx-pro-6000.html.md): 96 GB of memory on a single GPU
- [NVIDIA GeForce RTX 5090](/gpus/rtx-5090.html.md): The fastest consumer GPU, with FP4 support
- [NVIDIA GeForce RTX 4090](/gpus/rtx-4090.html.md): The most widely available low-cost GPU for AI work
- [NVIDIA L40S](/gpus/l40s.html.md): A data-center GPU tuned for inference and graphics
- [NVIDIA RTX 6000 Ada Generation](/gpus/rtx-6000-ada.html.md): 48 GB of memory, a generation newer than the RTX A6000
- [NVIDIA RTX A6000](/gpus/rtx-a6000.html.md): 48 GB of memory for less than a data-center GPU
- [NVIDIA GeForce RTX 3090](/gpus/rtx-3090.html.md): Often the cheapest 24 GB GPU you can rent

## Guides

- [How much GPU memory does your model need?](/guides/gpu-memory.html.md): serving and fine-tuning 8B to 405B models, and the GPUs that fit at live prices

## Docs

- [Agent walkthrough](/docs/agent-walkthrough.md): create an account, get a bounded token, search, rent, stop
- [API guide](/docs/api-reference.md): authentication, scopes, spend caps, rentals, billing
- [Security and spending boundaries](/docs/security.md)
- [How Arrakis fits together](/docs/architecture.md)
- [Capabilities and limits](/docs/provider-capabilities.md)

## Pages

- [Home](/index.html.md): what Arrakis is, pricing, security, FAQ
- [Careers](/careers.html.md): open roles and the Spice Test, an interview you take by calling the API

## Optional

- [Everything in one file](/llms-full.txt)
- [Console](/console/): sign in to rent, manage tokens and add funds
- [Sitemap](/sitemap.xml)