NVIDIA at Google Cloud Next ’25
April 9–11
Mandalay Bay Convention Center, Las Vegas
NVIDIA pioneered accelerated computing to push the boundaries of innovation for developers, designers, and creators around the globe and transform the world’s largest industries. NVIDIA accelerated computing, combined with the flexibility, global reach, and scale of Google Cloud, speeds up time to solution and drives down infrastructure TCO for computationally intensive workloads like generative AI, data analytics, high-performance computing (HPC), graphics, and gaming wherever they need to run.
NVIDIA Special Address at Google Cloud Next
Ian Buck, VP of Hyperscale and High-Performance Computing, NVIDIA
April 10, 10:30–11:15 a.m. PT
AI reasoning models and agents are reshaping the AI landscape, ushering in a new era of autonomous decision-making and action. Accelerated computing is crucial for delivering exceptional user experiences, enabling real-time responses and timely actions while reducing deployment costs at scale. The NVIDIA and Google Cloud partnership delivers cutting-edge AI infrastructure, enterprise-grade software, and optimized AI models, providing the foundation to build and deploy this new class of AI systems. Discover how NVIDIA AI, integrated across Google Cloud, offers developers flexibility and choice while delivering best-in-class performance and TCO, transforming enterprise AI in this new era.
Join us at Google Cloud Next for an informative spotlight session on April 10, 10:30-11:15 a.m. PT.
Explore NVIDIA Sessions at Google Cloud Next
Wednesday, April 9
11:00 a.m.–11:45 a.m. PT
Accelerating Mission-Critical AI With NVIDIA AI, Optimized on Google Cloud
In today's rapidly evolving technological landscape, enterprises face significant hurdles in developing and implementing mission-critical AI applications, such as agentic or physical AI. This session will explore how organizations can harness the power of NVIDIA DGX™ Cloud on Google Cloud, a high-performance, fully managed AI platform, to accelerate the next era of AI.
11:00 a.m.–12:30 p.m. PT
Kaggle Grandmaster Fireside Chat
Hear from Kaggle Grandmasters from NVIDIA and beyond as they talk through how they approach competitions, share insights on current events in AI, and answer your questions! We're inviting the folks who submit the best and most interesting questions to chat with the Grandmasters afterwards in a small group setting. Sharpen your thinking cap and let us know what's really on your mind!
12:15 p.m.–12:40 p.m. PT
Gen AI, GPUs, and Goals! Future of Retail Experiences With NVIDIA and Puma
In this session, Andrew Sun, Director of Business Development, Retail Software & Cloud at NVIDIA, will discuss the impact of gen AI on the retail market and the specific benefits it’s bringing to the clothing/sporting goods companies like Puma. In this session, we’ll also showcase some of the unique gen AI experiences Puma has built while leveraging GPUs on Google Cloud’s platform.
1:00 p.m.–1:20 p.m. PT
Speed Up ML Workflows up to 50X With NVIDIA RAPIDS in Google Colab
Learn how to speed up popular data science libraries, such as pandas and scikit-learn, by up to 50X in Google Colab using pre-installed NVIDIA RAPIDS™ Python libraries. Boost both speed and scale for your workflows by simply selecting a GPU runtime in Colab—no code changes required.
2:45 p.m.–3:30 p.m. PT
PyTorch on Google Cloud: From Experimentation to Production
In this session, learn about performance optimizations for PyTorch on Google Cloud accelerators using OpenXLA. These models are powerful but can be disrupted by resource failures. This talk also explores strategies for achieving greater resiliency when running PyTorch on GPUs, focusing on fault tolerance, checkpointing, and distributed training.
5:00 p.m.–5:45 p.m. PT
Shhh, my AI’s got secrets: Keep them safe with confidential computing
With great power comes great responsibility – and the need for confidentiality. This talk explores how confidential computing technology can act as a powerful shield for your AI deployments. We’ll show how Confidential Computing and confidential accelerators safeguard sensitive data and algorithms, even during processing, to ensure that your AI workloads remain protected throughout their life cycle.
5:15 p.m. - 06:00 PM PT
Tuning and Training Large Models on Vertex AI
Vertex AI offers a wide range of tools to train and tune large models. In this session, we'll guide you through power tools that Vertex AI offers to let you do everything from tuning Gemini to building your own foundation model.
Thursday, April 10
9:15 a.m.–10:00 a.m. PT
Drive AI workloads with GPU-accelerated data processing, vector indexing and search
In this session, we'll show you how to improve Apache Spark on Google Cloud Dataproc using the G2 accelerator-optimized series with L4 GPUs through RAPIDS Accelerator for Apache Spark. We'll demonstrate this acceleration through a reference AI architecture on financial transaction fraud detection and a real-world retail analytic use case, and we’ll go through performance numbers.
5:15 p.m.–6:00 p.m. PT
Scale Multi-Tenant AI Platforms for Fast-Moving Teams With NVIDIA and GKE
In this session, we’ll explore strategies for scaling your AI inference platform to empower growing teams with a variety of optimized open models. We’ll dive into tools and practices for maintaining control and cost efficiency while enabling AI engineering teams to quickly iterate.
Friday, April 11
9:15 a.m.–10:30 a.m. PT
AI for Startups: NVIDIA NIM™ Microservices + Google Cloud
Deploy and scale containerized AI models with NVIDIA NIM™ microservices on Google Kubernetes Engine (GKE). In this interactive session, you’ll gain hands-on experience deploying pre-built NIMs, managing deployments with kubectl, and autoscaling inference workloads. Ideal for startup developers, technical founders, and tech leads.
9:45 a.m.–10:30 a.m. PT
The latest vector search and AI innovations in AIloyDB
This session offers a technical deep dive into AlloyDB AI, focusing on building accurate, relevant generative AI applications using real-time data. We'll explore vector search using Google Research's ScaNN index, tuning for optimal performance and quality, and utilizing Gemini from AlloyDB operators for seamless integration with SQL and natural language. Additionally, discover how AlloyDB AI natural language provides accurate answers
Programs and Technical Training
Discover NVIDIA’s Free Program for Startups
The NVIDIA Inception Program provides 18,000 cutting-edge startups worldwide with critical go-to-market support, technical expertise, training, and introductions to funding opportunities to accelerate their business. See how program members across industries are using NVIDIA technology to create innovative solutions.