Discover how to build & scale gen AI apps with Iguazio (acquired by McKinsey) and MongoDB - with simplicity, performance & risk mitigation in mind
Here's how to continuously deploy Hugging Face models into real business environments at scale, along with the required application logic with the help of MLRun.
We've compiled the top sessions at ODSC West 2022 in San Francisco that we're most looking forward to, covering topics like data engineering, Responsible AI, NLP and much more.
AI/ML projects can run up big bills on compute. With Spark Operator, you can take advantage of spot instances and dynamic executor allocation, which can deliver big savings. Here's how to very simply set it up in MLRun.
Here's how to use the Iguazio feature store to build, store and share features from your Snowflake data.
Iguazio users can now run their ML workloads on AWS EC2 Spot instances. When running ML functions, you might want to control whether to run on Spot nodes or On-Demand compute instances.When deploying Iguazio MLOps platform on AWS, running a job (e.g. model training) or deploying a serving function users are now able to choose to deploy it...
AutoMLOps means automating engineering tasks so that your code is automatically ready for production. Here we outline the challenges and share open-source tools.
