Legal
Legal Disclosures & Liability Waiver
OpenSourcesAI is a reader-supported developer workspace. Please read these disclosures carefully before acting on any hardware recommendations, code snippets, or configuration guidance published on this site.
Last updated June 2026
Affiliate disclosure
OpenSourcesAI is a reader-supported developer workspace. We may earn an affiliate commission on commercial tools purchased through our partner listings or outbound links. Affiliate relationships do not change the price you pay and do not guarantee positive editorial coverage. Affiliate buttons and partner links are only displayed where a real partner URL is available and the placement is relevant to the page context.
Current approved or accepted affiliate partners include Bright Data, 1Password, MindStudio, RunPod, ElevenLabs, Dify, Emergent, Browse AI, Reclaim.ai, SaneBox, OmniSEO, Turbotic, Beautiful.ai, Gamma, CometChat, Optery, airSlate, Foxit, Flocksy, and Dry Ground AI.
As an Amazon Associate I earn from qualifying purchases. Amazon links on this site are labeled “(paid link)” at the point of the link, open a general Amazon product search rather than a specific listing, and never affect which hardware we editorially recommend.
Sponsored placements
Sponsored placements, partner listings, or paid promotions are clearly labeled with a “Commercial Service” or “Partner” badge. Paid placement does not guarantee an editorial recommendation, favorable review, or favorable comparison result.
As-Is / No-Warranty clause
All materials, performance estimations, VRAM recommendations, compatibility configurations, and code snippets are provided on an “As-Is” and “As-Available” basis for educational and informational purposes only. OpenSourcesAI makes no warranties, express or implied, regarding accuracy, completeness, or hardware safety.
VRAM figures, quantization estimates, and runtime benchmarks are empirical approximations derived from community testing and published model cards. Actual memory consumption, throughput, and system behavior vary by GPU architecture, driver version, runtime configuration, context length, system load, and other factors outside our control. Always verify against your specific hardware before production or commercial deployment.
Important safety notice — hardware risk
Running large language models locally requires high compute utilization. Intensive inference workloads can introduce thermal stress, high power draw, or temporary system instability.
Users execute our recommended AI stacks, hardware calculations, and configuration scripts entirely at their own risk. OpenSourcesAI, its founders, and contributors accept no liability for any hardware damage, data loss, or system failures resulting from your local model setups.
Before running any local AI stack:
- Ensure your GPU and system cooling are adequate for sustained high-utilization workloads.
- Monitor GPU temperatures using a tool such as GPU-Z, HWiNFO64, or your platform’s equivalent.
- Back up critical data before running experimental model configurations or Docker-based stacks.
- Review the official documentation for any runtime (Ollama, vLLM, llama.cpp, LM Studio) before executing startup scripts.
- Verify that your power supply can sustain the peak TDP of your GPU under continuous inference load.
Editorial independence
OpenSourcesAI keeps editorial guidance developer-first and educational. Tool and model coverage is based on practical fit, known limitations, source quality, and real builder workflows. Affiliate and sponsor relationships do not override editorial judgement.
Accuracy and corrections
AI tools, models, licenses, benchmarks, and pricing change quickly. OpenSourcesAI prioritizes current and accurate guidance, but readers should independently verify licensing, security posture, and production fit before making technical or commercial decisions. If you identify an error, contact us via the link in the footer.
Limitation of liability
To the maximum extent permitted by applicable law, OpenSourcesAI and its contributors shall not be liable for any direct, indirect, incidental, special, consequential, or punitive damages arising from the use of, or inability to use, information or code published on this site — including but not limited to hardware damage, data loss, financial loss, or loss of profits — even if advised of the possibility of such damages.
Use of this site and its resources constitutes acceptance of these terms. If you do not agree, please discontinue use.