--- title: "NanoLLM vs ai-gateway" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/dusty-nv-nanollm-vs-ferro-labs-ai-gateway" tools: ["dusty-nv-nanollm", "ferro-labs-ai-gateway"] --- # NanoLLM vs ai-gateway *GraphCanon updated Aug 25, 2026* ## Verdict Pick NanoLLM if nanoLLM optimizes local inference for LLMs via HuggingFace-compatible APIs, supporting quantization and multimodal applications like vision, speech, RAG, and vector databases; pick ai-gateway if ai-gateway from Ferro Labs supports over 30 LLMs with integrated caching, guardrails, A/B testing, and cost controls, making it ideal for managing multiple language models in a production environment. [NanoLLM](https://dusty-nv.github.io/NanoLLM/) reports 382 GitHub stars, 67 forks, and 66 open issues, last pushed Oct 18, 2024. [ai-gateway](https://docs.ferrolabs.ai) has 219 stars, 33 forks, and 63 open issues, last pushed Aug 7, 2026. Figures are from public GitHub metadata via [NanoLLM's repository](https://github.com/dusty-nv/NanoLLM) and [ai-gateway's repository](https://github.com/ferro-labs/ai-gateway). | | [NanoLLM](/tools/dusty-nv-nanollm.md) | [ai-gateway](/tools/ferro-labs-ai-gateway.md) | | --- | --- | --- | | Tagline | Optimized local inference for LLMs using HuggingFace-like APIs | Unified AI Gateway for multiple LLMs with caching, guardrails, A/B testing, and cost controls | | Stars | 382 | 219 | | Forks | 67 | 33 | | Open issues | 66 | 63 | | Language | Python | Go | | Adopt for | NanoLLM optimizes local inference for LLMs via HuggingFace-compatible APIs, supporting quantization and multimodal applications like vision, speech, RAG, and vector databases. | ai-gateway from Ferro Labs supports over 30 LLMs with integrated caching, guardrails, A/B testing, and cost controls, making it ideal for managing multiple language models in a production environment. | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 - a permissive free software license | | Categories | Computer Vision, Inference & Serving, Speech & Audio, Vector Databases | Inference & Serving, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [NanoLLM](/tools/dusty-nv-nanollm.md) | [ai-gateway](/tools/ferro-labs-ai-gateway.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 676d | 2d | | Open issues (now) | 66 | 63 | | Stars delta | +2 (30d) | Unknown | | Open issues delta | +2 (30d) | Unknown | | Owner type | User | Organization | | Full report | [trust report](/tools/dusty-nv-nanollm/trust.md) | [trust report](/tools/ferro-labs-ai-gateway/trust.md) | ## Decision facts: NanoLLM - **Adopt for:** NanoLLM optimizes local inference for LLMs via HuggingFace-compatible APIs, supporting quantization and multimodal applications like vision, speech, RAG, and vector databases. ## Decision facts: ai-gateway - **Adopt for:** ai-gateway from Ferro Labs supports over 30 LLMs with integrated caching, guardrails, A/B testing, and cost controls, making it ideal for managing multiple language models in a production environment. - **License detail:** Apache-2.0 - a permissive free software license ## Choose when ### Choose NanoLLM if… - NanoLLM is primarily Python; ai-gateway is Go. - License: NanoLLM is MIT, ai-gateway is Apache-2.0. - Tags unique to NanoLLM: edge-ai, llm-inference, multimodal, rag. - Also covers Computer Vision, Speech & Audio, Vector Databases. - When building edge-ai solutions requiring optimized local inference ### Choose ai-gateway if… - ai-gateway is primarily Go; NanoLLM is Python. - License: ai-gateway is Apache-2.0, NanoLLM is MIT. - Tags unique to ai-gateway: ai-gateway, litellm, llm-cost, llm-proxy. - Also covers Model Training. - When you need to integrate more than 30 different LLM services including OpenAI and Anthropic ## When NOT to use NanoLLM - In scenarios where a fully cloud-based solution is preferred over local inference - If the project does not benefit from multimodal or RAG capabilities ## When NOT to use ai-gateway - If your project only involves one or two LLMs which does not necessitate the gateway's broad compatibility features - For small-scale projects that do not require comprehensive cost analysis tools - When custom integration for specific guardrails is required, as ai-gateway offers generalized settings ## Common questions ### What is the difference between NanoLLM and ai-gateway? NanoLLM: Optimized local inference for LLMs using HuggingFace-like APIs. ai-gateway: Unified AI Gateway for multiple LLMs with caching, guardrails, A/B testing, and cost controls. See the comparison table for live GitHub stats and shared categories. ### When should I choose NanoLLM over ai-gateway? Choose NanoLLM over ai-gateway when NanoLLM is primarily Python; ai-gateway is Go; License: NanoLLM is MIT, ai-gateway is Apache-2.0; Tags unique to NanoLLM: edge-ai, llm-inference, multimodal, rag; Also covers Computer Vision, Speech & Audio, Vector Databases; When building edge-ai solutions requiring optimized local inference. ### When should I choose ai-gateway over NanoLLM? Choose ai-gateway over NanoLLM when ai-gateway is primarily Go; NanoLLM is Python; License: ai-gateway is Apache-2.0, NanoLLM is MIT; Tags unique to ai-gateway: ai-gateway, litellm, llm-cost, llm-proxy; Also covers Model Training; When you need to integrate more than 30 different LLM services including OpenAI and Anthropic. ### When should I avoid NanoLLM? In scenarios where a fully cloud-based solution is preferred over local inference If the project does not benefit from multimodal or RAG capabilities ### When should I avoid ai-gateway? If your project only involves one or two LLMs which does not necessitate the gateway's broad compatibility features For small-scale projects that do not require comprehensive cost analysis tools When custom integration for specific guardrails is required, as ai-gateway offers generalized settings ### Is NanoLLM or ai-gateway more popular on GitHub? NanoLLM has more GitHub stars (382 vs 219). Stars measure visibility, not whether either tool fits your constraints. ### Are NanoLLM and ai-gateway open source? Yes - both are open-source projects on GitHub (NanoLLM: MIT, ai-gateway: Apache-2.0). ### Where can I find alternatives to NanoLLM or ai-gateway? GraphCanon lists graph-backed alternatives at [NanoLLM alternatives](/tools/dusty-nv-nanollm/alternatives) and [ai-gateway alternatives](/tools/ferro-labs-ai-gateway/alternatives) ([NanoLLM markdown twin](/tools/dusty-nv-nanollm/alternatives.md), [ai-gateway markdown twin](/tools/ferro-labs-ai-gateway/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/dusty-nv-nanollm-vs-ferro-labs-ai-gateway.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, NanoLLM or ai-gateway? NanoLLM: Dormant. ai-gateway: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for NanoLLM and ai-gateway? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [NanoLLM trust report](/tools/dusty-nv-nanollm/trust); [ai-gateway trust report](/tools/ferro-labs-ai-gateway/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=dusty-nv-nanollm`](/api/graphcanon/graph?tool=dusty-nv-nanollm) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_