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Enterprise-grade programmatic fine-tuning and image generation API for custom AI models.
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Cerebras
EnterpriseModel v2.4.0The Fastest AI Infrastructure
AI InfrastructureEnterprise pricingAPI availableModel v2.4.0Updated 2026-05-09
Good for:AI TrainingAI Inference
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About Cerebras
Cerebras offers an industry-leading AI platform built around its revolutionary Wafer-Scale Engine (WSE), purpose-designed for ultra-fast AI training and inference. Unlike traditional GPU-based systems, the WSE operates as a single, massive chip, eliminating inter-chip communication bottlenecks to deliver unparalleled speed and scale. The platform enables developers to build and deploy frontier models, including major LLMs like GLM, OpenAI, Qwen, and Llama, with world-record speeds and superior output quality, often achieving up to 15x faster inference than GPU clouds. Cerebras provides flexible deployment options including cloud services, dedicated private cloud instances, and on-premise solutions for full control over data and infrastructure. It emphasizes an 'Enterprise-Grade, Developer-Friendly' approach, offering drop-in OpenAI API compatibility for rapid integration and accelerating the entire AI lifecycle from pre-training and fine-tuning to high-throughput serving for critical real-time applications.
Product Release Intel
Latest Model/Version
v2.4.0
v2.4.0
This release for Cerebras Training software introduces support for new models including Llama 3.3 (70B), Llama 3.2 (1B and 3B), and Mistral NeMO (12B). It extends the Max Sequence Length (MSL) up to 128K tokens for training, fine-tuning, and evaluation tasks. Key enhancements include a new Model Zoo Command Line Interface (CLI) that centralizes all modeling tasks, the CSZoo Assistant (a command-line LLM agent leveraging Cerebras Inference), and Pydantic-based Config Classes for streamlined configuration management. Additionally, it offers expanded data preprocessing options (inline, offline, multimodal) and a CS-3+ Performance Upgrade delivering a 1.9x performance improvement over CS-2 systems with linear scaling.
Inference Service Update (April 2026)
The latest Cerebras Inference Service updates, as of April 2026, bring support for new dedicated models such as GLM 5, GLM 5.1, and Kimi K2.6. A significant performance upgrade introduces speculative decoding, boosting Llama 3.1 70B output speed to an average of 2,100 tokens/second. API requests that fail validation now consistently return HTTP 400 Bad Request instead of 422 Unprocessable Entity. The service now integrates with Microsoft AutoGen, enabling developers to build AI agents with advanced features like tool use and parallel tool calling. Support for OpenAI GPT-OSS (gpt-oss-120b) has been updated with enhanced tool calling (`strict: true`) and expanded JSON Schema limitations, increasing nested levels from 5 to 10 and max properties from 100 to 500. Users are also encouraged to migrate from the `llama3.1-70b` model to `llama-3.3-70b` due to upcoming deprecation.
Core Capabilities
Cerebras offers an industry-leading AI platform built around its revolutionary Wafer-Scale Engine (WSE), purpose-designed for ultra-fast AI training and inference.
