Google Cloud for research

A full-stack, AI-optimized, and collaborative platform for a new era of accelerated research. Evolve knowledge-led laboratories and research institutions with agentic AI, enterprise-grade security, diverse datasets, and powerful supercomputing to drive scientific breakthroughs at scale beyond traditional methods.

Learn more about our Gemini ecosystem for academia and federal institutions.

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Google Public Sector — Program for Accelerated Research (GPAR)*

GPAR empowers your researchers to win more grant funding.

Financial benefits such as co-investment opportunities with industry-leading pricing for AI accelerators like GPUs and TPUs.
Early access to exclusive innovation with the latest generation of AI custom-designed accelerators (TPUs), foundational models, and datasets like AlphaFold or Earth AI, and agentic AI like Co-scientist or AlphaEvolve.
Optimize the grant lifecycle with generative AI including personalized search, proposal drafting, and collaborator identification.
Meet compliance requirements with HIPAA, CMMC 2.0, FedRAMP, and more.
Training in AI infrastructure optimization, high performance computing (HPC), and JAX AI Stack.
Access to experts and researchers from Google and our partners to collaborate on technical and disciplinary-specific initiatives.

^{*Currently only available in the United States}

Why Google for research

Google Cloud accelerates scientific discovery with our full-stack approach to AI across every layer, from data centers and chips, to research and models, and to products and platforms.

Google’s genAI scientific publications have been the most cited, globally

Accelerate scientific discovery with Google's enterprise-ready AI. This is built on Google’s 25+ year research heritage and expertise across disciplines, including Biosciences and Human Health, Earth and Environmental Systems, Physical Sciences and Materials, Foundational Mathematics and Reasoning, Quantum Computing, and AI for Scientific Discovery, that contributed to global GenAI scientific progress as well as three Nobel Prizes from Google researchers in the last five years.

“We're going to need many more researchers in all disciplines. The only situation where you need less researchers is if you assume that we practically almost answered all the questions that we need to have. I don't think anybody here in the audience would think that. We are only understanding a tiny bit of what we need to understand.”

Yossi Matias, Vice President, Google and Head of Google Research

World class research

Google’s genAI scientific publications have been the most cited, globally

Accelerate scientific discovery with Google's enterprise-ready AI. This is built on Google’s 25+ year research heritage and expertise across disciplines, including Biosciences and Human Health, Earth and Environmental Systems, Physical Sciences and Materials, Foundational Mathematics and Reasoning, Quantum Computing, and AI for Scientific Discovery, that contributed to global GenAI scientific progress as well as three Nobel Prizes from Google researchers in the last five years.

“We're going to need many more researchers in all disciplines. The only situation where you need less researchers is if you assume that we practically almost answered all the questions that we need to have. I don't think anybody here in the audience would think that. We are only understanding a tiny bit of what we need to understand.”

Yossi Matias, Vice President, Google and Head of Google Research

AI hypercomputer

AI across every layer

From data centers to chips, Google Cloud provides an end-to-end AI infrastructure featuring our AI Hypercomputer with performance-optimized hardware like GPUs and industry-leading foundational LLM, enabling research institutions and laboratories to train, tune, and serve demanding AI workloads. This infrastructure delivers solutions that improve productivity and efficiency.

“Ironwood represents a significant shift in the development of AI and the infrastructure that powers its progress. It’s a move from responsive AI models that provide real-time information for people to interpret, to models that provide the proactive generation of insights and interpretation. This is what we call the “age of inference” where AI agents will proactively retrieve and generate data to collaboratively deliver insights and answers, not just data.”

Amin Vahdat, VP/GM, ML, Systems & Cloud AI

Public datasets

20PB+ of Public Datasets

By curating the world's scientific content, Google provides access to a repository of over 200 high-value, in-demand open datasets — from healthcare to economics — to accelerate your research and data analysis. With more than 20 petabytes of data available in BigQuery and Google Cloud Storage, you can explore big data without the cost and overhead. Browse our library of public datasets, APIs, and open source projects to find the tools for your next challenge.

“AI to accelerate scientific discovery and help with things like human health is the reason I spent my whole career on AI. And I think it's the most important thing we can do with AI. And I feel like if we build AGI in the right way, it will be the ultimate tool for science.”

Demis Hassabis, CEO, Google DeepMind

Models

Innovate faster with 200+ Generative AI models and tools

Choose from a variety of industry leading foundation models with first-party, third-party, and open models to easily prototype, fine-tune, and deploy the next-generation of education tools. Tackle complex challenges through predictive analytics, multi-modal capabilities, natural language processing, and image recognition.

“True openness is what’s missing from the AI landscape. AI is evolving today from various different aspects, but the one we care about is how we make models, infrastructure, and ecosystems accessible to a wide range of audience. That’s the most important element in empowering the rate of progress for AI.”

Ali Farhadi, CEO of the Allen Institute for AI

Platform

Unified AI and data platform

Our full-stack solution helps researchers rapidly prototype, optimize resources, and accelerate research. Combining Google Cloud's AI, analytics, and high performance computing (HPC) with Google Workspace's productivity tools, you can drive innovation while maximizing efficiency across your institution or agency.

“Research runs on tight timelines and a complex constellation of partnerships. Google Cloud is ready to step up to the challenge, continuously developing new solutions that give us the flexibility and security we need to keep research running.”

Sean Dudley, Associate Vice President, Arizona State University

What roadblocks are your researchers facing?

What you'll get:

Step-by-step guide

Reference architecture

Available pre-built solutions

This service was built with Vertex AI. You must be 18 or older to use it. Do not enter sensitive, confidential, or personal info.

Google Cloud advanced computing community

Gain access to specialized training, expert insights, and a collaborative network dedicated to high-performance tech. Build your expertise and drive impact through advanced computing excellence.

The Gemini era for researchers

Transform discovery with Gemini. Use a unified platform to prototype, analyze complex data, and collaborate securely. Access multimodal models to automate tasks across text and code, shifting focus from tedious workflows to high-impact research.

AI is driving scientific breakthroughs at a scale beyond traditional methods

Discover Google Research. We publish research papers across a wide range of domains and share our latest developments in AI and science research.

Empowering the entire research ecosystem

Drive scientific breakthroughs at a scale beyond traditional methods

Scaling team science
Providing a shared, secure, and scalable environment for global teams to collaborate.

Research-driven customer stories from across Google and Google Cloud

Discover how research institutions, agencies, and laboratories utilize Google's full-stack, AI-optimized platform to drive scientific breakthroughs at an unprecedented scale. These tools help accelerate time-to-insight, enable new discoveries, and scale team science by providing a shared, secure, and scalable environment for global collaboration.

Whitepapers and guides for research

Explore these white papers to access actionable insights on strategically leveraging AI and data to drive research innovation, improve the efficiency of discovery workflows, enhance the speed of publication, increase research output, and secure your intellectual property.