Stytch vs Cerebras

Stytch gives developers one API for login, authorization, and fraud checks in B2B and consumer apps. You add passkeys, SSO, SCIM, MFA, and machine-to-machine tokens without stitching Auth0-style add-ons to a separate risk vendor.

Where many auth platforms gate enterprise features behind sales calls, Stytch includes SSO, RBAC, and multi-tenancy in its pay-as-you-go tier with 10,000 monthly active users included. It also ships an embeddable admin portal so customers configure SAML and SCIM themselves.

Backend engineers, platform teams, and AI product builders use Stytch after Twilio acquired it to cover human users and agent identities in the same stack.

Cerebras builds wafer-scale AI chips and runs one of the fastest LLM inference platforms available today. Its CS-2 and CS-3 systems power cloud APIs, dedicated private endpoints, and on-prem deployments for teams that need low-latency responses at production scale.

The Wafer-Scale Engine is a single chip 58 times larger than typical GPUs, designed specifically for training and inference workloads. On the cloud side, developers call open models like Llama, Qwen, GLM, and GPT OSS through a simple API key, with throughput that routinely hits thousands of tokens per second on supported models.

Cerebras serves AI-native startups, enterprise research teams, and global companies across healthcare, cybersecurity, and drug discovery. Customers include OpenAI, Meta, GSK, Notion, and Mayo Clinic. You can start free on the inference API, scale through pay-as-you-go developer billing, or talk to sales for dedicated capacity and custom model weights.