How to Build Your Own Clarifai

Anthropic's top model for high-quality, context-aware text generation handling summaries, inputs, and completions

Hybrid model supporting both thinking mode and non-thinking mode with improvements across multiple aspects

Agentic LLM developed by Mistral AI and All Hands AI to explore codebases, edit multiple files, and support engineering agents

OpenAI's most powerful open-weight model with exceptional instruction following, tool use, and reasoning capabilities

Natively multimodal AI model leveraging mixture-of-experts architecture for industry-leading multimodal performance

Dedicated GPU compute offering unparalleled control and efficiency with configurable instance types for specific model requirements

Share GPU resources across multiple models and workloads

Automatically scale compute resources down to zero when not in use

Pay-as-you-go shared serverless compute ideal for rapid prototyping, smaller workloads, and testing with maximum efficiency

Use cost-effective spot instances for non-critical workloads

Securely bridge local AI, MCP servers, and agents via robust API to power any application

Push-button deployments onto pre-configured Serverless Compute with automated scaling, enabling rapid production go-live

Highly customizable, secure, and scalable options including self-hosting, hybrid cloud, and direct infrastructure integration

Securely expose and serve models running on local machines or private servers directly to Clarifai's Control Plane

Host custom, open-source, and third-party models all in one place with seamless compatibility

Process multiple inference requests in batch mode for improved efficiency

Optimized inference engine benchmarked for complex reasoning tasks with exceptional speed and cost efficiency

Real-time streaming inference with bi-directional communication

Dramatically reduces AI latency from request to first token delivery, ensuring smooth and efficient AI execution

Delivers unprecedented token throughput even under high concurrency, enabling massive volumes of AI tasks efficiently

Train and deploy custom detection models for specific use cases

Deploy custom-trained image classification models

Deploy custom segmentation models trained on your data

Support for single GPU and multi-GPU model training containers

Deploy custom AI models with lightning-fast inference in minutes with no infrastructure management required

Tools for evaluating model performance and accuracy

Export trained models for use outside the Clarifai platform

Automatically label data for model training using AI

Manage and organize datasets for training and evaluation

Host Model Context Protocol servers directly on Clarifai to securely connect LLMs to external tools and real-time data for agentic AI

Models offer OpenAI-compatible outputs, enabling seamless integration into existing workflows with minimal migration effort