April 22-24, 2026 | Mandalay Bay, Las Vegas | Booth #2511
Redis at Google Cloud Next
Join us at Google Cloud Next to learn how you can build fast, accurate, scalable AI—all in one unified platform.
Let's talk speed & precision at Double Stack, our welcome party at Google Cloud Next.
We’re hosting an evening at the Grand Prix Plaza for head-to-head F1 racing simulators, go-karting on the F1 Las Vegas Circuit, and drinks in the Turn 1 Lounge.
Stop by booth #2511
Problem-solve with our technical experts, catch our lightning talks, see live demos of our latest AI releases, and grab some swag.
Catch us after hours
Join us at the F1 Grand Prix Plaza to mingle with our in-house experts over good drinks and conversation.
Meet with our team
Book time with our execs to talk through architecture, scaling, and what fast actually looks like in production—especially for AI workloads.
Catch our latest demos & AI content IRL
Celebrity face match with vector sets
Find your celebrity lookalike in this interactive demo designed around Redis Vector Sets.
Redis Data Integration (RDI) in action
Learn how Redis Data Integration makes it easier to keep Redis in sync with your other databases.
Redis live chat
Interact with a live chat agent to understand how we enable agent memory.
Redis Sandbox
Build Redis commands to run in real-time on a live Redis database.
Redis for AI on Google Cloud
Use Redis on Google Cloud to build and scale real-time AI apps.
Theater sessions
Catch fast talks and demos, live at our booth.
WEDNESDAY - FRIDAY
This session provides a product update focused on new Redis capabilities for AI and data-intensive applications. It highlights Agent Memory Server as a dual-tier memory system for session and persistent agent memory, Redis Context Retriever as an MCP-powered semantic and access layer across structured, unstructured, and memory-based context, search on Redis Flex as a lower-cost, terabyte-scale search offering with flash-backed price/performance advantages, and Feature Form as a public-preview feature store pipeline connecting streaming, batch, online serving, and offline training workflows. Taken together, the deck presents Redis’s recent roadmap as an expansion from core database infrastructure into a broader AI application platform spanning retrieval, memory, semantic access, and ML feature delivery.
Wed, Apr 22 | 9:15 AM - 6:00 PM | Every hour at 15 after
Thu, Apr 23 | 9:15 AM - 6:00 PM | Every hour at 15 after
Fri, Apr 24 | 9:15-2:00 PM | Every hour at 15 after
Talon Miller
Principal Architect
Redis
Guy Royse
Sr. Developer Advocate
Redis
Gautum Kovoor
Corporate Solution Architect
Redis
Yusuf Bahadur
Sr. Partner Solution Architect
Redis
WEDNESDAY - FRIDAY
This session argues that the next wave of AI applications will be defined less by raw model quality and more by how effectively they assemble, retrieve, and operationalize context in real time. The deck frames Redis as the core platform for agent data storage and management, then connects advances in LLM task horizons and tool-calling accuracy to a new architectural requirement: a unified context engine. It presents “context engineering” as an emerging discipline centered on bringing together structured data, unstructured data, memory, state, and retrieval into a single low-latency layer for agents. The talk positions Redis’s search, caching, memory, and retrieval capabilities as the foundation for that layer, culminating in a product vision where Redis serves as the real-time context engine that unifies data access, semantic retrieval, and agent memory for production AI systems.
Wed, Apr 22 | 9:15 AM - 6:00 PM | Every hour at 15 after
Thu, Apr 23 | 9:15 AM - 6:00 PM | Every hour at 15 after
Fri, Apr 24 | 9:15-2:00 PM | Every hour at 15 after
Andrew Brookins
Principal Applied AI Engineer
Redis
Jason Bolzau
Sr. Solution Architect
Redis
Nitin Kanukolanu
Applied AI Engineer
Redis
William Johnston
Lead, Technical Marketing
Redis
Theater sessions
Catch fast talks and demos, live at our booth.
Faster from the start
Accelerate performance and innovation with Redis on AWS.