Meet Us at ODSC West in San Francisco from Oct 31-Nov 1
MLOps for Generative AI streamlines the way you operationalize and scale your generative AI models. Automate and accelerate the deployment of foundation models, transformers, and application logic in production, while maximizing GPU performance. Benefit from comprehensive testing and built-in monitoring and management capabilities, ensuring the quality and reliability of user-facing applications. Collaborate efficiently, streamline operations, and accelerate time to market for Generative AI applications.
Automate CI/CD integration to rapidly deploy scalable real-time serving and application pipelines that host the LLM as well as the required data integration and business logic.
Manage risk with built-in monitoring for the LLM data, training, model, and resources, with automated model re-tuning.
Automate the flow of tuning, validating, and optimizing the LLM to specific data efficiently over elastic resources.
Open and cost-effective solution with support for various LLMs and flexible deployment options (any cloud, on-prem or hybrid).
“Using Iguazio, we are revolutionizing the way we use data, by unifying real-time and historic data from different sources and rapidly deploying and monitoring complex AI models to improve patient outcomes and the City of Health’s efficiency”
Nathalie Bloch, MD
Head of Big Data & AI at Sheba Medical Center’s ARC innovation complex
“Joint customers of NetApp and Iguazio manage data at scale and run increasingly complex algorithms on that data. By making critical features available within their data science platform, adding ‘smart data’ with NetApp AI is simple. With easy access to features that are ready for use across the enterprise on any AI project, customers can develop and deploy these projects efficiently and accurately.”
Head of Global AI and Analytics Business Development
“With Iguazio’s feature store, MongoDB Atlas, our fully managed cloud database, can easily store features that are ready to use in machine and deep learning, making MLOps a reality. This refines the experience for both our advanced users, who are scaling AI, and those just starting out on their AI journey to innovate on top of an already powerful database.”
Global Head of Enterprise Modernization at MongoDB
“At Tredence, we serve leading Fortune 500 clients, who always expect rapid business value. Iguazio’s MLOps solution and built-in feature store enables the rapid development, deployment and management of AI applications across the enterprise, providing a competitive edge to clients looking to deploy innovative AI solutions in today’s cutthroat market”
CTO and CO-Founder at Tredence
“Real time AI is critical to ad performance...Working with Iguazio enabled us to get our AI application up and running in a matter of weeks.”
CEO of PadSquad
“At Tulipan, we use novel techniques to convert information into knowledge, taking a holistic approach to data. That’s why we were so happy when we came across Iguazio - Iguazio’s data science platform enables the unification of data from all types and sources, along with the development and rapid deployment of AI applications across use cases and environments. Now, Iguazio’s integrated feature store takes real-time data engineering to the next level of automation”
CEO at Tulipan
"Iguazio allowed us to unify and combine any data type to create real-time machine learning models with an out of the box data science toolkit. That to us was worth its weight in gold."
Director of DXP Innovation
“With Iguazio’s Data Science Platform, we built a scalable and reliable system which adapts to new threats and enables us to prevent fraud with minimum false positives”.
VP Corporate Security and Global IT Operations
Learn how you can implement Generative AI applications with the Iguazio MLOps Platform