InferAll vs Nano

One API key for 120+ AI models across OpenAI, Anthropic Claude, Google Gemini, NVIDIA NIM, Replicate, and Runway. 25+ free open-source models, published per-token pricing...

An AI-native security and observability platform for cloud, local, hybrid, and air-gapped teams. Sub-second search, detection engineering, OpenTelemetry, pivt AI, and...

About InferAll

One API key for 120+ AI models across OpenAI, Anthropic Claude, Google Gemini, NVIDIA NIM, Replicate, and Runway. 25+ free open-source models, published per-token pricing on premium providers. InferAll is an Anthropic-compatible gateway with $0 input/output on 25+ NVIDIA-hosted open-source models. The published wizard is several releases behind and has a number of known problems, including a doctor command that can call a committed .env safe, and an init that may leave your key written but not gitignored.

About Nano

An AI-native security and observability platform for cloud, local, hybrid, and air-gapped teams. Sub-second search, detection engineering, OpenTelemetry, pivt AI, and deployment control in one place. Run nano in the cloud, locally, hybrid, or air-gapped. nano was built from scratch, not refactored: a dedicated cluster, one query language over your security and OpenTelemetry data, agentic investigation, and deployment options from cloud to air-gapped. So when a service slows down, "is this an outage or a breach?" is one query, not two tools and a guess.