--- title: "ai-gateway vs text-generation-inference" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/ferro-labs-ai-gateway-vs-huggingface-text-generation-inference" tools: ["ferro-labs-ai-gateway", "huggingface-text-generation-inference"] --- # ai-gateway vs text-generation-inference *GraphCanon updated Aug 9, 2026* ## Verdict 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; pick text-generation-inference if text-generation-inference. [ai-gateway](https://docs.ferrolabs.ai) reports 219 GitHub stars, 33 forks, and 63 open issues, last pushed Aug 7, 2026. [text-generation-inference](http://hf.co/docs/text-generation-inference) has 11k stars, 1.3k forks, and 324 open issues, last pushed Mar 21, 2026. Figures are from public GitHub metadata via [ai-gateway's repository](https://github.com/ferro-labs/ai-gateway) and [text-generation-inference's repository](https://github.com/huggingface/text-generation-inference). | | [ai-gateway](/tools/ferro-labs-ai-gateway.md) | [text-generation-inference](/tools/huggingface-text-generation-inference.md) | | --- | --- | --- | | Tagline | Unified AI Gateway for multiple LLMs with caching, guardrails, A/B testing, and cost controls | Large Language Model Text Generation Inference | | Stars | 219 | 10,888 | | Forks | 33 | 1,274 | | Open issues | 63 | 324 | | Language | Go | Python | | 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. | text-generation-inference | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 - a permissive free software license | Apache-2.0 | | Categories | Inference & Serving, Model Training | Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ai-gateway](/tools/ferro-labs-ai-gateway.md) | [text-generation-inference](/tools/huggingface-text-generation-inference.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Archived (8%) | | Days since push | 2d | 137d | | Archived on GitHub | No | Yes | | Open issues (now) | 63 | 324 | | Full report | [trust report](/tools/ferro-labs-ai-gateway/trust.md) | [trust report](/tools/huggingface-text-generation-inference/trust.md) | ## 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 ## Decision facts: text-generation-inference - **Pricing:** freemium - Available under the Apache-2.0 license with a community-maintained open-source model. - **Requirements:** Min 4 GB RAM; Requires Docker; NVIDIA GPUs require NVIDIA Container Toolkit and CUDA drivers 12.2 or higher.; AMD ROCm support requires AMD Instinct MI210 or MI250 series with appropriate setup. - **Adopt for:** text-generation-inference ## Choose when ### Choose ai-gateway if… - ai-gateway is primarily Go; text-generation-inference is Python. - 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 ### Choose text-generation-inference if… - text-generation-inference is primarily Python; ai-gateway is Go. - Pricing: Available under the Apache-2.0 license with a community-maintained open-source model.. - Requirements: Min 4 GB RAM; Requires Docker; NVIDIA GPUs require NVIDIA Container Toolkit and CUDA drivers 12.2 or higher.; AMD ROCm support requires AMD Instinct MI210 or MI250 series with appropriate setup.. - Tags unique to text-generation-inference: bloom, deep-learning, falcon, gpt. - text-generation-inference ships Docker support for self-hosted deployment. - When you need hardware-accelerated performance on a variety of GPUs including NVIDIA (with CUDA 12.2 or higher), AMD ROCm, Intel GPU, Gaudi, and Google TPU. ## 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 ## When NOT to use text-generation-inference - When the target hardware lacks GPU support or does not match the supported platforms (e.g., non-NVIDIA GPUs without ROCm setup). - If you need high-performance on CPUs exclusively, as TGI is designed primarily for GPU acceleration and CPU performance might be subpar. - For model training tasks; TGI focuses specifically on inference rather than training large language models. ## Common questions ### What is the difference between ai-gateway and text-generation-inference? ai-gateway: Unified AI Gateway for multiple LLMs with caching, guardrails, A/B testing, and cost controls. text-generation-inference: Large Language Model Text Generation Inference. See the comparison table for live GitHub stats and shared categories. ### When should I choose ai-gateway over text-generation-inference? Choose ai-gateway over text-generation-inference when ai-gateway is primarily Go; text-generation-inference is Python; 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 choose text-generation-inference over ai-gateway? Choose text-generation-inference over ai-gateway when text-generation-inference is primarily Python; ai-gateway is Go; Pricing: Available under the Apache-2.0 license with a community-maintained open-source model.; Requirements: Min 4 GB RAM; Requires Docker; NVIDIA GPUs require NVIDIA Container Toolkit and CUDA drivers 12.2 or higher.; AMD ROCm support requires AMD Instinct MI210 or MI250 series with appropriate setup.; Tags unique to text-generation-inference: bloom, deep-learning, falcon, gpt; text-generation-inference ships Docker support for self-hosted deployment; When you need hardware-accelerated performance on a variety of GPUs including NVIDIA (with CUDA 12.2 or higher), AMD ROCm, Intel GPU, Gaudi, and Google TPU. ### 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 ### When should I avoid text-generation-inference? When the target hardware lacks GPU support or does not match the supported platforms (e.g., non-NVIDIA GPUs without ROCm setup). If you need high-performance on CPUs exclusively, as TGI is designed primarily for GPU acceleration and CPU performance might be subpar. For model training tasks; TGI focuses specifically on inference rather than training large language models. ### Is ai-gateway or text-generation-inference more popular on GitHub? text-generation-inference has more GitHub stars (10,888 vs 219). Stars measure visibility, not whether either tool fits your constraints. ### Are ai-gateway and text-generation-inference open source? Yes - both are open-source projects on GitHub (ai-gateway: Apache-2.0, text-generation-inference: Apache-2.0). ### Where can I find alternatives to ai-gateway or text-generation-inference? GraphCanon lists graph-backed alternatives at [ai-gateway alternatives](/tools/ferro-labs-ai-gateway/alternatives) and [text-generation-inference alternatives](/tools/huggingface-text-generation-inference/alternatives) ([ai-gateway markdown twin](/tools/ferro-labs-ai-gateway/alternatives.md), [text-generation-inference markdown twin](/tools/huggingface-text-generation-inference/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/ferro-labs-ai-gateway-vs-huggingface-text-generation-inference.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, ai-gateway or text-generation-inference? ai-gateway: Very active. text-generation-inference: Archived. 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 ai-gateway and text-generation-inference? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ai-gateway trust report](/tools/ferro-labs-ai-gateway/trust); [text-generation-inference trust report](/tools/huggingface-text-generation-inference/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=ferro-labs-ai-gateway`](/api/graphcanon/graph?tool=ferro-labs-ai-gateway) - 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/_