Posted March 31Mar 31 Despite the best efforts of many ML teams, most models still never make it to production due to disparate tooling, which often leads to fragmented data and ML pipelines and complex infrastructure management. Snowflake has continuously focused on making it easier and faster for customers to bring advanced models into production. In 2024, we launched over 200 AI features, including a full suite of end-to-end ML features in Snowflake ML, our integrated set of capabilities for machine learning model development, inference and operationalization. We are thrilled to continue the momentum this year by announcing that the following capabilities for GPU-powered ML workflows are now generally available for production workloads...View the full article
.png.6dd3056f38e93712a18d153891e8e0fc.png.1dbd1e5f05de09e66333e631e3342b83.png.933f4dc78ef5a5d2971934bd41ead8a1.png)
Join the conversation
You can post now and register later. If you have an account, sign in now to post with your account.