Cerebras Inference

Cerebras InferenceSince 2024-08

Cerebras Inference is the world's fastest AI inference platform, powered by the revolutionary Cerebras CS-3 Wafer-Scale Engine (WSE-3). Delivering unprecedented speeds exceeding 2,100 tokens per second on Llama 3.1 8B and over 450 tokens per second on Llama 3.1 70B, Cerebras runs AI inference up to 20x faster than traditional NVIDIA GPU clusters. By replacing traditional GPU memory bandwidth bottlenecks with 44 Gigabytes of on-chip SRAM across a monolithic silicon wafer, Cerebras achieves instantaneous response times that transform conversational AI, real-time code synthesis, and multi-step agentic reflection loops into fluid, zero-latency interactions.

Traditional GPUs are limited by external HBM/DRAM bandwidth, forcing token generation to stall while weights are retrieved across PCIe buses. The Cerebras WSE-3 features 900,000 AI-optimized compute cores and 21 Petabytes/sec of memory bandwidth directly on a single silicon wafer. Cerebras Inference provides a 100% OpenAI-compatible API, allowing developers to switch their application endpoints with zero code modifications. It supports streaming completions, tool calling, JSON structured schemas, and massive token context lengths with guaranteed instantaneous time-to-first-token.

PydanticAISince 2026-02

PydanticAI is a lightweight, production-grade Python agent framework created by the core Pydantic team. It brings strict type validation, structured outputs, and clean dependency injection to generative AI development, ensuring models strictly adhere to domain schemas.

Designed to eliminate messy string parsing and unreliable tool outputs, PydanticAI treats LLM interactions as type-checked functions. It supports model agnosticism across OpenAI, Anthropic, Gemini, and Ollama, offering native telemetry via OpenTelemetry and seamless integration with Logfire.