GPU Prices

Best median price per GPU across all providers. Click for details.

Price context Each best-price row includes its source, freshness, region scope, and offer count. Use the context line to separate marketplace aggregates from public list-price and provider API rows.
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H100 SXM H100 NVL H100 PCIE H200 H200 NVL A100 SXM4 A100 PCIE B200 MI300X L40 RTX 6000Ada A6000 A40 RTX 4090 RTX 5090 L4 A10G T4 V100

Hand this runbook to Claude Code or Codex

Open a terminal in the repository where you want the deployment files, start claude or codex, then paste this prompt. It asks the agent to verify sources and stop before it creates billable infrastructure.

Deployment prompt
Use the infrastructure or model context on this page to create a reproducible open-model deployment. Use this guide as the starting context: https://www.getflops.ai/trends. Read the linked model card and provider documentation before choosing hardware or runtime settings. Open every linked primary source and flag any mismatch instead of guessing. Create a deployment folder containing README.md, .env.example with no secrets, a pinned start script or infrastructure manifest, and smoke-test.sh. Make the endpoint OpenAI-compatible where the runtime supports it. Run local/static validation, estimate the billable resources, and stop before provisioning paid infrastructure until I approve.
Guardrails included No secrets in files · verify primary docs · approval before spend