| What it does | Production Stack for Gen AI Builders
| Kubernetes operator for self-hosted LLM inference
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| Stage | Not given
| Growing
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| Founded | Not given
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| Based in | US
| US
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| Pricing model | Not given
| free
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| Pricing | Not given
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| Key features | - AI Gateway with universal API access to 1,600+ LLMs
- Real-time observability dashboard for LLM monitoring
- Guardrails for enforcing output quality and constraints
- Prompt management with templates and versioning
- AI Governance with role-based access control
- Semantic and simple caching with unlimited TTL
- Automatic fallbacks and advanced routing rules
- Agent tracing and performance monitoring
- PII redaction for data privacy
- MCP Gateway for Model Context Protocol integration
| - Pluggable runtime backends for vLLM, TGI, llama.cpp, and custom containers
- HPA autoscaling based on real inference metrics
- GPU layer offloading with custom sharding splits
- Automatic model download and persistent caching
- Prometheus and Grafana dashboards for inference metrics
- CUDA 13 with NVIDIA Blackwell GPU support
- Multi-GPU tensor parallelism and layer sharding
- Foreman agentic coding with GitHub integration
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| What makes it different | - Unified API access to 1,600+ LLMs with 3-line integration
- Intelligent caching that saves thousands on repeated requests
- Real-time observability and cost monitoring dashboard
- End-to-end LLM orchestration for agents and complex workflows
| - 20x cheaper than cloud with self-hosted inference on consumer GPUs
- Kubernetes-native CRDs for Model and InferenceService, not wrappers around Kubernetes
- One operator supports seven pluggable runtime backends with no code changes
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| Free plan | Not given
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 74 ● no change since last check | 20 ● no change since last check |
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| Trust Flow (Majestic) | 27 | 18 |
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| Citation Flow (Majestic) | 47 | 26 |
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| Referring domains (Majestic) | 3006 | 165 |
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