Published Aug 12, 2019

Serving deep learning models with RedisAI

Explore how Redis modules, particularly RedisAI, transform Redis into a robust platform for deep learning applications by integrating tensor data and AI capabilities, as detailed by Pieter Cailliau's insights on boosting Redis's functionality for high-volume machine learning tasks.

Episode Highlights

Topics covered

Episode Highlights

Related Episodes

Deep Reinforcement Learning
Answers 383 questions
AI adoption in the enterprise
Answers 383 questions
Generative models: exploration to deployment
Answers 383 questions
Creating instruction tuned models
Answers 383 questions
Ask us anything (about AI)
Answers 383 questions
Artificial intelligence at NVIDIA
Answers 383 questions
Serverless GPUs
Answers 383 questions
The ins and outs of open source for AI
Answers 383 questions
GANs, RL, and transfer learning oh my!
Answers 383 questions
Visualizing and understanding RNNs
Answers 383 questions
Exploring deep reinforcement learning
Answers 383 questions
The new AI app stack
Answers 383 questions
So you have an AI model, now what?
Answers 383 questions
AI in the majority world and model distillation
Answers 383 questions
Operationalizing ML/AI with MemSQL
Answers 383 questions

Dexa/Practical AI

Serving deep learning models with RedisAI

Topics covered

Popular Clips

Redis Gears Overview

Redis AI Discussion

Redis AI Roadmap

Redis Data Types

Redis AI Integration

Redis AI Data Structures

Redis Data Types

Redis Modules Overview

Redis AI Origins

Redis Licensing Model

Redis AI Applications

Redis AI Solutions

Redis AI Insights

Share the AI

Episode Highlights

Redis Modules Features

Deep Learning with Redis

Redis AI Overview

Related Episodes

Deep Reinforcement Learning

AI adoption in the enterprise

Generative models: exploration to deployment

Creating instruction tuned models

Ask us anything (about AI)

Artificial intelligence at NVIDIA

Serverless GPUs

The ins and outs of open source for AI

GANs, RL, and transfer learning oh my!

Visualizing and understanding RNNs

Exploring deep reinforcement learning

The new AI app stack

So you have an AI model, now what?

AI in the majority world and model distillation

Operationalizing ML/AI with MemSQL

Serving deep learning models with RedisAI

Topics covered

Popular Clips

Episode Highlights

Redis Modules Features

Deep Learning with RedisRedisAI enhances Redis by supporting tensor data types and deep learning models, making it a versatile tool for AI applications. Pieter Cailliau discusses the integration of data structures and backend technologies that streamline machine learning processes.

Deep Learning with Redis

Redis AI OverviewRedisAI, a module developed by Redis Labs, enhances Redis with AI capabilities by integrating deep learning models and tensor data types. Pieter Cailliau discusses its origins, integration with existing data structures, and applications in high-volume tasks like fraud detection.

Redis AI Overview

Related Episodes