Uploaded June 2026 | Updated September 2026, 2 weeks ago
Join this session to learn about Agent Development Kit (ADK) and Model Context Protocol (MCP) integration methods that standardize how agents connect to your data while removing the need to build custom database connectors from scratch. Discover how to build agents with the ADK that accesses BigQuery for analysis, Google Maps for geospatial insights, and AlloyDB for transactions – all in a single workflow. Learn how to implement agent operations (AgentOps) for deep observability into both agent performance and cost with a single line of code.
Watch more Google Cloud Next 2026 Sessions → https://goo.gle/gcloud-next-2026
Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech
Speakers: Sandeep Karmarkar, Jiaxun Wu, Guillaume Blaquiere
BRK2-048
#GoogleCloudNext
Join this session to learn about Agent Development Kit (ADK) and Model Context Protocol (MCP) integration methods that standardize how agents connect to your data while removing the need to build custom database connectors from scratch. Discover how to build agents with the ADK that accesses BigQuery for analysis, Google Maps for geospatial insights, and AlloyDB for transactions – all in a single workflow. Learn how to implement agent operations (AgentOps) for deep observability into both agent performance and cost with a single line of code.
Watch more Google Cloud Next 2026 Sessions → https://goo.gle/gcloud-next-2026
Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech
Speakers: Sandeep Karmarkar, Jiaxun Wu, Guillaume Blaquiere
BRK2-048
#GoogleCloudNext





![Dynamic Firebase skills: Architecting agent ready codebases
Firebase agent skills → https://goo.gle/4u3McWt
[GitHub] Agent skills → https://goo.gle/42JsuEa
[Codelab] How to use AI Agent Skills → https://goo.gle/4umgrbO
Watch along and hear Rody Davis break down how to architect existing, real world codebases for agentic development. Discover how to implement client side Firebase skills using Firestore to create sandbox contexts, maximize LLM efficiency with agent optimized context.md directory readmes, and manage complex monorepos through interconnected AI agent structures. Whether you are using Antigravity for backend workflows or tools like Stitch and Google AI Studio to accelerate your MVP design phase, discover how optimizing code health and architectural patterns can massively supercharge your AI assisted engineering velocity.
Chapters:
0:00 - Intro
0:37 - Shipping skills with Firebase
2:25 - Preparing codebases for agentic AI
3:51 - Tips and tricks for using Antigravity
5:33 - How to get started with agentic AI and vibecoding
7:13 - Wrap up
Watch more Google Cloud Next 2026 → https://goo.gle/next-talks-2026
🔔 Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech
#GoogleCloudNext
Speakers: Aja Hammerly, Rody Davis
Products Mentioned: Gemini, Google AI Studio, Antigravity, Stitch, Firebase Dynamic Firebase skills: Architecting agent ready codebases](https://i.ytimg.com/vi/urBML_2BbD8/mqdefault.jpg)

![Building GPU-accelerated multi-agent apps with Google ADK and Gemma 4
Join the Google Cloud & NVIDIA community → https://goo.gle/google-nvidia-programs
On this week’s livestream, join Chelsie Czop and @NVIDIAs Jay Rodge and learn how to build a GPU-accelerated sustainability intelligence app from scratch.
You’ll learn how to orchestrate a team of specialist agents using the open-source Google Agent Development Kit (ADK), serve Gemma 4 efficiently on Cloud Run using NVIDIA RTX PRO 6000 GPUs, and connect them with Milvus for policy retrieval.
Whether you are looking to deploy local models or scale production agentic workflows, this is the architecture blueprint you need.
This livestream originally aired on May 12, 2026 at 9:00 A.M. PDT / 12:00 P.M. EDT.
Chapters:
0:00 - Countdown
1:48 - Intro
3:58 - What are AI agents enabling?
13:40 - G4 powered by NVIDIA RTX PRO 6000 Blackwell GPUs
18:28 - GPU accelerated sustainability intelligence
21:32 - [Demo] Sustainability Agent
27:43 - What is Model Context Protocol (MCP)?
30:03 - Where is agentic AI being used for workloads?
36:56 - How can developers stop AI agents from getting stuck in a loop?
39:39 - When should organizations transition from human-in-the-loop to agentic AI?
42:02 - Does Gemini Enterprise have access to GPUs?
42:50 - What challenges do AI agents face when retrieving accurate policy data?
46:13 - How do organizations approach security, privacy, and regulations when multi-agent orchestration is used?
49:08 - Where is Jay Rodge using AI agents?
53:32 - How to get started with agentic AI on GPUs
56:09 - Wrap up
Speakers: Chelsie Czop, Jay Rodge
Products: Agent Development Kit, Gemma 4, Cloud Run Building GPU-accelerated multi-agent apps with Google ADK and Gemma 4](https://i.ytimg.com/vi/vIyhQGBkn34/mqdefault.jpg)


