Endpoint 402 · RTX 5090 GPU Rental (1 Hour)
Provisions 1-hour access to RTX 5090 GPU infrastructure, returning connection details and transaction confirmation.
What it does
Provisions 1-hour access to RTX 5090 GPU infrastructure, returning connection details and transaction confirmation.
- Run inference on large models requiring GPU acceleration
- Train models with short-term compute bursts
- Render 3D scenes or video processing jobs
Ideal buyer
AI inference agents and compute-intensive workloads needing temporary GPU access without long-term cloud contracts.
Run this through your governed agent wallet.
- 01Bootstrap AXON once with
npx @axon402/init. - 02Use the AXON runtime MCP tools to
search_x402_servicesorinspect_x402_offerfor this service. - 03Quote, test-buy, then run the governed paid fetch through AXON.
Send this
Prompt for your agent
A natural-language instruction for your LLM agent — with this endpoint exposed as a tool — to call this resource. Not sent to the endpoint; the endpoint consumes the JSON body below.
Pasting this prompt into a raw ChatGPT or unconfigured agent will notexecute the paid endpoint flow. Run it through an agent with the AXON runtime / MCP tools exposed (see “Use with AXON” above) so the 402 challenge, quote, and governed fetch are handled for you.
“Rent an RTX 5090 for 1 hour to run my diffusion model inference”
Endpoint request body
The JSON payload your agent sends to the endpoint.
Advanced HTTP details
For integrators who need the raw protocol surface. Most agents should use AXON above instead of calling these directly.
curl fallback
curl https://endpoint-402-production.up.railway.app/rent-1h \ -H "Content-Type: application/json" \ -H "X-PAYMENT: [signed_payment_envelope]"
Payment & settlement details
Raw on-chain settlement parameters. AXON above handles these automatically through quote / test-buy / governed fetch.
Price & network
Trust & risk
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Category proxy — we don't track live co-purchase signals yet.