
AWS SageMaker Autopilot
A fully managed service that allows users to build, train, and deploy ML models for any use case.
Distributed, massively parallel processing unlocks high-volume Gen AI & ML use cases
Robust development environment helps upscale and up-skill your data science teams
Holistic suite of ecosystem integrations embeds Exasol seamlessly into your AI tech stack
Exasol’s AI Lab is an environment for building, testing and productionalizing AI & ML solutions. AI Lab includes sample workflows and utilities to help you leverage Exasol’s unique UDF framework and MPP Architecture to achieve optimal performance at scale.
Integrate Large Language Models (LLMs) into your analytics to enhance insights, automate workflows, and increase efficiency. Deploy LLMs locally for secure, compliant data processing. Upgrade your analytics with generative AI built for modern companies.
The Exasol Transformers Extension lets you run language models directly in your database using SQL, enabling advanced NLP tasks without moving your data. It’s a simple way to bring AI into your analytics workflows. Watch the video to learn more.
Install and explore the Transformers Extension for yourself:
pip install exasol-transformers-extension
This Transformers Extension allows you to load hugging face models into Exasol via a simple SQL query:
SELECT TE_MODEL_DOWNLOADER_UDF(model_name, task_type, sub_dir, bucketfs_conn, token_conn)
Exasol’s UDF framework is the key to unlocking the power of Exasol’s massively parallel processing. UDFs offer unlimited customizability allowing your organization to define powerful, bespoke functionality such as large scale data manipulation, model training and real-time inference generation.
Exasol’s MPP architecture intelligently executes queries – including UDFs – leveraging the entire compute power of your Exasol cluster. Exasol’s unique MPP architecture translates into lightning-fast and highly scalable query execution which, in turn, supercharges your customized AI & ML data workflows.
Exasol’s integrations seamlessly embed into your tech stack, expanding analytics and supporting your data journey with AI and ML partnerships, from no-code tools for analysts to robust ML infrastructure for data scientists.