IBM watsonx.ai is an integrated AI development studio that makes building and deploying AI simple and scalable. It includes APIs, tools, customizable models, and flexible runtimes ready for use in any cloud or hybrid environment.
IBM watsonx.ai is an integrated AI development studio that makes building and deploying AI simple and scalable. It includes APIs, tools, customizable models, and flexible runtimes ready for use in any cloud or hybrid environment.
Choose the model that best fits your specific use case, budget considerations, regional interests and risk profile.
IBM models
Tailored for business, IBM Granite family of open, performant and trusted models deliver exceptional performance at a competitive price, without compromising safety.
Meta Llama models
Llama models are open, efficient large language models designed for versatility and strong performance across a wide range of natural language tasks.
Mistral AI models
Mistral models are fast, performant, open-weight language models designed for modularity and optimized for text generation, reasoning and multilingual applications.
Other third-party model providers
There are several foundation models from other providers available on watsonx.ai.
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Try watsonx.ai at no cost, or continue your journey of discovery.
Whether you need code explanation, campaigns or lesson planning, use fit-for-purpose foundation models to get a head start on quality content, both general and personalized.
Streamline discovery and analysis of large amounts of data for faster, more valuable insights and forecasts specific to your needs and business requirements.
This comprehensive suite of developer-focused capabilities, preconfigured SDKs, APIs, agentic workflows, retrieval augmented generation (RAG) frameworks and templates, advanced tuning methods and more, helps bring your AI application development process together in natural language or code. Explore AI agent development on watsonx.ai.
No need to scramble to pull together what you need for model training and generative AI development. Access a variety of powerful, low-cost, fit-for-purpose models, MLOps pipelines and AI runtimes that reside in one place for more efficient building of powerful applications with trusted data and built-in governance, that you can effectively manage, monitor and govern across the AI lifecycle.
Bring generative AI and machine learning into production faster. Build AI/ML models automatically with model training, development and visual modeling, and synthetic data generation. You can also develop predictive and prescriptive models, code in Python Notebooks or Rstudio, or work directly in your IDE of choice.
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