◆ Gentoo Logic · Modeling Warehouse

AI Infra · AI architecture

6 AI Infra companies — how they build with AI

How AI Infra companies build with AI — which foundational models they run and how directly, ranked by proximity to the model. Avg Foundation Proximity Score 75/100.

Native 4Direct API 0Cloud-hosted 0Middleware 2

Fireworks AI

AI Infra · Multi-Cloud · Native (own / self-hosted weights)

Fast inference for open models on its own serving stack.

Lightning AI

AI Infra · Multi-Cloud · Native (own / self-hosted weights)

Builds PyTorch Lightning + a studio to train/serve open models (Llama, etc.) on cloud GPUs.

Replicate

AI Infra · GCP · Native (own / self-hosted weights)

Runs open models as one-click APIs on its own GPU fleet.

Together AI

AI Infra · Hybrid · Native (own / self-hosted weights)

Together AI operates its own GPU cloud and managed Kubernetes clusters as an AI-native infrastructure layer, while also integrating with external cloud storage and streaming services for data and analytics workloads.[2][11][12] The production stack is centered on open-weight models deployed as containerized workloads on Together-managed GPU clusters, exposed via serverless inference APIs and voice/agent pipelines.[3][4][9][11][16]

Qdrant

AI Infra · Multi-Cloud · Middleware / wrapper

Open-source vector database for RAG; model-agnostic.

Weaviate

AI Infra · Multi-Cloud · Middleware / wrapper

Open-source vector database; the index, not a model, is the product.

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