MLOps Community
timezone
+00:00 GMT
SIGN IN
  • Home
  • Events
  • Content
  • People
  • Messages
  • Channels
  • Help
Sign In
Sign in or Join the community to continue

More than a Cache: Turning Redis into a Composable, ML Data Platform

Posted Jul 28
# Redis
# AI Native
# Vector Search
Share
SPEAKER
Samuel Partee
Samuel Partee
Samuel Partee
Principal Applied AI Engineer @ Redis

A Principal Applied AI Engineer at Redis, Sam helps guide the development and direction of Redis as an online feature store and vector database.

Sam's background is in high-performance computing including ML-related topics such as distributed training, hyperparameter optimization, and scalable inference.

+ Read More

A Principal Applied AI Engineer at Redis, Sam helps guide the development and direction of Redis as an online feature store and vector database.

Sam's background is in high-performance computing including ML-related topics such as distributed training, hyperparameter optimization, and scalable inference.

+ Read More
SUMMARY

Pushing forward the Redis platform to be more than just the web-serving cache that we've known it up to now. It seems like a natural progression for the platform, we see how they're evolving to be this AI-focused, AI native serving platform that does vector similarity, feature stored provides those kinds of functionalities.

+ Read More

Watch More

1:11:12
Posted Jul 21 | Views 194
# Airflow
# Orchestration
# ML Engineering
48:13
Posted Mar 10 | Views 259
# Data Platform
# Building ML
# Kubernetes
57:54
Posted Aug 18 | Views 575
# Data Modeling
# Data Warehouses
# Semantic Data Model