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Google Cloud Next 2025: Innovation at Scale ✨

· 4 min read
Arpita Patel
DevOps Manager and Enterprise Architect

Last week at Google Cloud Next representing our CIROH cloud-based computing efforts! With more than 30,000 participants, Google Next always amazes me! It's huge, engaging on so many levels! Engaging booths, networking opportunities, great presentations, workshops, AI coach for basketball, incredible keynote from an amazing team! Event was not just a conference, but a celebration of innovation and a glimpse into the future of cloud computing! Great to see how Gemini is transforming data manipulation in BigQuery. The ability to use natural language to query, transform, and visualize data is revolutionizing how we interact with massive datasets. Gabe Weiss's demo particularly showcased the potential for non-specialists to derive insights from complex data.

If you missed the keynote, I highly recommend watching the recording here: GCN25 Keynote Video

📢 Google Distributed Cloud: Bringing Gemini On-Premises

Perhaps the most exciting announcement was that Gemini is now available on-premises via Google Distributed Cloud. This is a game-changer for organizations with strict data sovereignty requirements or specialized computing needs. Running on NVIDIA Confidential Computing and NVIDIA Blackwell infrastructure, this solution brings together:

  • Cutting-edge AI innovation
  • Robust data sovereignty controls
  • Enterprise-grade security

This addresses the most significant barriers many organizations face when adopting advanced AI capabilities. Learn more about this integration here: NVIDIA and Google Cloud Partnership

📢 Infrastructure Advances: Power to Transform

The infrastructure announcements were equally impressive, with serious power upgrades including:

  • Ironwood TPUs offering massive acceleration for machine learning workloads
  • NVIDIA Blackwell GPUs providing unprecedented computing power
  • Rubin GPUs extending capabilities for specialized workloads

These hardware innovations will enable entirely new classes of applications and make existing workloads significantly more efficient.


Check out all the online content that's now available, including:


📢 Agent Development: The Next Frontier

What particularly caught my attention was Google's focus on agent development technologies:

  • google-adk: The Agent Development Kit makes building multi-agent applications accessible to developers without deep AI expertise. Learn more
  • A2A (Agent-to-Agent Communication): The frameworks for agent-to-agent interaction open up possibilities for complex automated workflows that were previously impossible. Explore A2A or jump straight to the quickstart code samples
  • Agentspace: This collaboration environment for multiple agents feels like the beginning of something truly transformative. Check it out

Final Thoughts

As I reflect on my time at Google Cloud Next 2025, I'm struck by how the landscape of cloud computing and AI is evolving faster than ever. The convergence of powerful infrastructure, sophisticated AI models like Gemini, and new paradigms for agent-based computing signals a fundamental shift in how we'll architect and manage enterprise systems in the coming years.

I left the conference not just with new knowledge but with a renewed sense of excitement about the possibilities ahead. The future of cloud computing isn't just about faster or cheaper computing resources—it's about fundamentally new ways of solving problems and creating value.

#GoogleCloudNext25 #CloudAdvocate #AI #A2A #VertexAI #GoogleDistributedCloud #DevOps #EnterpriseArchitecture

Accessing National Water Model (NWM) Data via Google Cloud BigQuery API

· 3 min read
Arpita Patel
DevOps Manager and Enterprise Architect
gcp architectrure diagram Image Source: https://github.com/BYU-Hydroinformatics/api-nwm-gcp

Several important historical and ongoing National Water Model (NWM) datasets are now available on Google Cloud BigQuery, which makes them queryable through SQL using Google Cloud console. Some of these data sets are also accessible through an API (e.g. using Python). These datasets and their current status are as follows:

ProductCloud Console SQLCIROH APIHistoricalDaily Updates
Medium-range forecastsXXXX
Long-range forecastsXXXX
Analysis and AssimilationXXXX
Retrospective Data (NWM v3)XX
Return PeriodsXX

CIROH Cloud User Success Story

· 3 min read
Arpita Patel
DevOps Manager and Enterprise Architect

This month, we are excited to showcase two case studies that utilized our cyberinfrastructure tools and services. These case studies demonstrate how CIROH's cyberinfrastructure is being utilized to support hydrological research and operational advancements.

1. ngen-datastream and NGIAB

ngen-datastream image

CIROH Research CyberInfrastructure Update

· 2 min read
Arpita Patel
DevOps Manager and Enterprise Architect

We're excited to share some recent developments and updates from CIROH's Research CyberInfrastructure team:

Cloud Infrastructure

  • CIROH's Google Cloud Account is now fully operational and managed by our team. You can find more information here.
  • We're in the process of migrating our 2i2c JupyterHub to CIROH's Google Cloud account.
  • We've successfully deployed the Google BigQuery API (developed by BYU and Google) for NWM data in our cloud. To access this API, please contact us at ciroh-it-admin@ua.edu. Please refer to NWM BigQuery API to learn more.

Google Cloud Next '24: A Flood of Innovation and Inspiration

· 4 min read
Arpita Patel
DevOps Manager and Enterprise Architect

Google Cloud Next '24

Hello everyone, and thanks for stopping by!

I recently had the incredible opportunity to attend Google Cloud Next 2024 in person for the first time, and it was truly an amazing experience. From insightful keynote presentations and workshops to vibrant booths buzzing with connections, the event was a whirlwind of innovation and inspiration.