Architecture comparison

Character.AI vs Rabbit

Character.AI runs closer to the foundational model (Native (own / self-hosted weights)) than Rabbit (Middleware / wrapper). No shared foundational model — different bets.

Character.AI

Consumer AI

Proximity

Native (own / self-hosted weights)

Models

proprietary / self-built models

Cloud · datastore

GCPAlloyDB for PostgreSQL[2][4]Cloud Spanner[4]Google Cloud Memorystore for Redis Cluster[15]Object storage (Google Cloud Storage, implied for model checkpoints and data)[3][7]Analytics warehouse (BigQuery)[10]

Compliance

Unknown (no explicit public certifications like SOC 2, ISO 27001, HIPAA found in retrieved sources; standard GCP security/compliance underlies infra)

Architecture

Character.AI runs a proprietary end‑to‑end stack on Google Cloud, training and serving its own Kaiju/C‑series LLMs on GPU and TPU infrastructure (including H100 clusters) with heavy inference optimization, backed by managed databases (AlloyDB, Spanner), Redis, and BigQuery on GCP.[1][2][3][4][7][10][11][15] The production platform uses dense transformer models (Kaiju Small/Medium/Large) trained and hosted on GCP, with int8-optimized inference and custom serving infrastructure for low‑latency conversational workloads.[3][7][11]

Rabbit

Consumer AI

Proximity

Middleware / wrapper

Models

middleware / wrappers

Cloud · datastore

Multi-Cloudobject

Compliance

GDPR

Architecture

AI hardware (r1); routes to multiple partner LLMs behind a large-action-model orchestration layer.

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