Comparison
ai-gateway vs gpustack
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 gpustack if gpustack is a Python-based tool for managing GPU clusters focused on efficient AI model inference and on-demand SSH-accessible GPU instances.
Markdown twin · ai-gateway alternatives · gpustack alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | ai-gateway | gpustack |
|---|---|---|
| Maintenance | Very active (2d since push) As of 1w · github_public_v1 | Very active (0d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1w · github_public_v1 | Not a fork · Organization account As of 2w · github_public_v1 |
| OSV dependency advisories | Published findings As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- ai-gateway
- Unified AI Gateway for multiple LLMs with caching, guardrails, A/B testing, and cost controls
- gpustack
- A GPU cluster manager for high-performance AI model serving and on-demand SSH-accessible GPU instances
Stars
- ai-gateway
- 219
- gpustack
- 5.5k
Forks
- ai-gateway
- 33
- gpustack
- 609
Open issues
- ai-gateway
- 63
- gpustack
- 673
Language
- ai-gateway
- Go
- gpustack
- Python
Adopt for
- ai-gateway
- 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.
- gpustack
- gpustack is a Python-based tool for managing GPU clusters focused on efficient AI model inference and on-demand SSH-accessible GPU instances.
Persona
- ai-gateway
- -
- gpustack
- -
Runtime
- ai-gateway
- -
- gpustack
- -
License
- ai-gateway
- Apache-2.0 - a permissive free software license
- gpustack
- Apache-2.0
Last pushed
- ai-gateway
- Aug 7, 2026
- gpustack
- Aug 7, 2026
Categories
- ai-gateway
- Inference & Serving, Model Training
- gpustack
- Inference & Serving
Trust and health
Days since push
- ai-gateway
- 2d
- gpustack
- 0d
Open issues (now)
- ai-gateway
- 63
- gpustack
- 673
OSV dependency advisories
- ai-gateway
- Published findings
- gpustack
- No lockfile (source not queried)
Full report
- ai-gateway
- Trust report
- gpustack
- Trust report
Choose ai-gateway if…
- ai-gateway is primarily Go; gpustack 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 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
Choose gpustack if…
- gpustack is primarily Python; ai-gateway is Go.
- Requirements: Requires Docker.
- Tags unique to gpustack: ascend, cuda, deepseek, distributed-inference.
- When you need to manage multiple GPUs for high-performance inference tasks with models like vLLM or SGLang.
When NOT to use gpustack
- If your deployment constraints do not permit the use of Docker containers and there is a need for bare-metal deployments without containerized solutions.
- When the tool-specific focus on certain models like vLLM or SGLang does not align with the model ecosystem preferred by your team.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (ferro-labs/ai-gateway) · observed Aug 9, 2026
- GitHub forks (ferro-labs/ai-gateway) · observed Aug 9, 2026
- Last push (ferro-labs/ai-gateway) · observed Aug 7, 2026
- License file (Apache-2.0) · observed Aug 9, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (gpustack/gpustack) · observed Aug 7, 2026
- GitHub forks (gpustack/gpustack) · observed Aug 7, 2026
- Last push (gpustack/gpustack) · observed Aug 7, 2026
- License file (Apache-2.0) · observed Aug 7, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: ai-gateway 219 · gpustack 5.5k (synced Aug 9, 2026).
Common questions
- What is the difference between ai-gateway and gpustack?
- ai-gateway: Unified AI Gateway for multiple LLMs with caching, guardrails, A/B testing, and cost controls. gpustack: A GPU cluster manager for high-performance AI model serving and on-demand SSH-accessible GPU instances. See the comparison table for live GitHub stats and shared categories.
- When should I choose ai-gateway over gpustack?
- Choose ai-gateway over gpustack when ai-gateway is primarily Go; gpustack 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 gpustack over ai-gateway?
- Choose gpustack over ai-gateway when gpustack is primarily Python; ai-gateway is Go; Requirements: Requires Docker; Tags unique to gpustack: ascend, cuda, deepseek, distributed-inference; When you need to manage multiple GPUs for high-performance inference tasks with models like vLLM or SGLang.
- 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 gpustack?
- If your deployment constraints do not permit the use of Docker containers and there is a need for bare-metal deployments without containerized solutions. When the tool-specific focus on certain models like vLLM or SGLang does not align with the model ecosystem preferred by your team.
- Is ai-gateway or gpustack more popular on GitHub?
- gpustack has more GitHub stars (5,454 vs 219). Stars measure visibility, not whether either tool fits your constraints.
- Are ai-gateway and gpustack open source?
- Yes - both are open-source projects on GitHub (ai-gateway: Apache-2.0, gpustack: Apache-2.0).
- Where can I find alternatives to ai-gateway or gpustack?
- GraphCanon lists graph-backed alternatives at ai-gateway alternatives and gpustack alternatives (ai-gateway markdown twin, gpustack markdown twin), 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 mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, ai-gateway or gpustack?
- ai-gateway: Very active. gpustack: 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 ai-gateway and gpustack?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ai-gateway trust report; gpustack trust report.