Google Cloud AI Safety Research Credits

Google Cloud AI Safety Research Credits is sponsored by Google Cloud. Offers research credits to academic and nonprofit researchers working on AI safety, enabling access to TPU and GPU compute resources for safety-critical experiments.

Google Cloud for Researchers | Google Cloud Join our May 20 webinar to explore how the Google Public Sector Program for Accelerated Research (GPAR) powers massive-scale science and transforms the research lifecycle. 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 .

Apply for $5,000 in research credits 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 Request an on-campus research day 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 Explore research at Google See how the latest research from Google impact outcomes across industries Explore how AI can help accelerate breakthroughs with models, simulations, and agents Achieve your goals with the newly-launched Google Skills platform with paths, certificates, and more 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 Making AI helpful for everyone with the Gemini ecosystem that enhances our products and services AI and machine learning products, solutions, and services to meet your research roadmap A learning path designed to kickstart your AI journey 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 Explore datasets at Google Enhance your analytics and AI initiatives with pre-built data solutions Explore datasets, use cases, and insights Advance research at scale with Google Cloud solutions to help researchers build knowledge and advance scientific discovery Learn about Google Dataset Search Google contributes to the research community with periodically-released datasets 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 Learn about our leading AI models behind our most impactful innovations View the list of available models A learning path designed to deepen your knowledge of Google Cloud’s modeling capabilities Expand your modeling skills 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 Explore the platform at Google Learn about our 150+ Google Cloud products and services Accelerate your digital transformation with the latest news on Google Cloud products Read the Google Cloud blog Achieve your goals with Google Cloud learning paths that reach differing skill levels 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 Explore research at Google See how the latest research from Google impact outcomes across industries Explore how AI can help accelerate breakthroughs with models, simulations, and agents Achieve your goals with the newly-launched Google Skills platform with paths, certificates, and more 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 Making AI helpful for everyone with the Gemini ecosystem that enhances our products and services AI and machine learning products, solutions, and services to meet your research roadmap A learning path designed to kickstart your AI journey 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 Explore datasets at Google Enhance your analytics and AI initiatives with pre-built data solutions Explore datasets, use cases, and insights Advance research at scale with Google Cloud solutions to help researchers build knowledge and advance scientific discovery Learn about Google Dataset Search Google contributes to the research community with periodically-released datasets 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 Learn about our leading AI models behind our most impactful innovations View the list of available models A learning path designed to deepen your knowledge of Google Cloud’s modeling capabilities Expand your modeling skills 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 Explore the platform at Google Learn about our 150+ Google Cloud products and services Accelerate your digital transformation with the latest news on Google Cloud products Read the Google Cloud blog Achieve your goals with Google Cloud learning paths that reach differing skill levels What roadblocks are your researchers facing?

check_small Step-by-step guide check_small Reference architecture check_small Available pre-built solutions spark Sharing results across academia spark Automate research workflows This service was built with Gemini Enterprise Agent Platform . 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. View online sessions and in-person workshops 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. Empower research teams to discover, create, share, and run AI agents all in one secure platform.

Gemini Enterprise Agent Platform Build AI agents and apps for research in a unified development platform with 200+ foundation models. The fastest way to build fully-functional apps and prototypes with Gemini using natural language. Google Workspace with Gemini Automate research tasks in Docs, Sheets, Gmail, NotebookLM, and more with an integrated AI assistant.

Prep and analyze research data with an autonomous data platform using Gemini or familiar SQL. Detect, investigate, and respond to cybersecurity threats with an intelligence-driven security platform. 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.

Artificial intelligence and machine learning AI in healthcare and drug discovery AI hardware and accelerator chips Generative AI and large language models (LLMs) Explainable and resilient AI Life sciences and biotechnology Vaccine development and manufacturing Neuroscience and neurobiology Quantum information science Quantum-classical hybrid computing Energy and geospatial science Clean energy generation and storage Nuclear and fusion energy Grid modernization and resilience Extreme weather and adaptation Carbon capture and biogeochemistry Microelectronics and advanced manufacturing 3D heterogeneous integration (3DHI) Semiconductor materials and devices Security-aware integrated circuit design Physical sciences and engineering High energy and particle physics Aerospace engineering photonics Applied mathematics and computational science Empowering the entire research ecosystem Generate hypotheses and abstracts Vexing knowledge gaps are identified by synthesizing vast amounts of literature.

Intelligent tools can suggest novel, high-potential research directions and initial abstracts, accelerating concept generation. Internal and external expertise is rapidly matched and discovered. AI-driven platforms facilitate this by analyzing existing publications, datasets, and project needs, quickly scaling team formation.

Writing proposals is streamlined by instantly pulling relevant datasets and contextual background. AI assists in generating compliant budget narratives and optimizing proposal language, dramatically speeding up the submission process. Review boards and guidelines Ethical and regulatory compliance is ensured across the organization.

AI can review manuscripts against guidelines and screen findings for commercialization potential, simplifying both external review and IP discovery. Design and run experiments Researchers translate design concepts into efficient, automated procedures. Experimental outcomes can be simulated by AI to optimize protocols before execution, minimizing resource waste.

Collect data and analyze results Secure, scalable data acquisition and real-time analysis occur in high-performance computing (HPC) environments. Intelligent models process massive datasets in hours, not months, for immediate results. Senior researchers turn findings into critical insights for peer review.

AI identifies non-obvious patterns and connections within complex results, assisting in the final synthesis. The roadmap for future research is strategically developed and aligned with institutional and industry goals. AI models predict high-impact research trajectories, expediting the preparation of renewal proposals.

Drive scientific breakthroughs at a scale beyond traditional methods Accelerating time-to-insight Reducing months-long data processing to hours. Automating repetitive tasks Freeing time to focus on hypothesis generation and critical thinking. Identifying patterns faster Discover hidden connections in datasets too large for human analysis.

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. NIH makes STRIDES to advance biomedical research with Google Cloud Empowering more than 25,000 researchers and a further 300,000 investigators in the NIH-funded community to utilize more than 115 petabytes of research data.

Google Public Sector supports AI-optimized HPC infrastructure for researchers at Caltech Furthering their mission to expand human knowledge and benefit society through research integrated with education. Ai2 develops models using A3 Mega and C3 VMs, NVIDIA H100 GPUs, and Cloud Storage. Laying the foundation for the next generation of safe, sustainable, and accessible AI research that can benefit everyone.

Wayne State University drives population health with Google AI Combining over 70 health, census, social, and environmental data sources to uncover insights that improve healthcare outcomes and save lives. National Cancer Institute (NCI) powers research, discovery, and connection with Google AI Developing an app powered by Gemini AI to recommend research papers, facilitate collaboration, and accelerate cancer research.

University of Washington’s TOPMed Program Boosts Collaboration With the Help of the Cloud Leveraging expertise in statistical genetics and high-performance computing with TOPMed principal investigators and the broader research community. How Google and NASA are testing AI for medical care in space Using advanced models to understand speech, context, and instructions in complex scenarios.

UC Davis, VALID AI, and Google Cloud pioneer AI solutions for health equity. Harnessing the power of generative AI and Google Cloud to transform how we understand and address social determinants of health. PermitAI Ushers in a New Era for Faster, Better Federal Permitting Helping transform how the Pacific Northwest National Laboratory accesses, stores, enriches, and shares data securely with Google Cloud.

Oak Ridge National Laboratory: Google Cloud drives efficiency by reducing data analysis time to hours Helping researchers better predict human behavior to aid in disaster response with fast, scalable mobility data analysis. Uniformed Services University uses Google AI to improve outcomes for 467,000 patients annually Speeding discoveries that accelerate patient recovery, yielding $10 billion in potential cost savings annually.

Stanford University powers safe AI exploration on campus Developing a secure, user-friendly platform that empowers its community to explore the latest generative AI technologies. Air Force Research Laboratory powers the future of defense with Google Cloud Accelerating scientific discovery at scale, safely and securely, to move from prototypes to production quickly while maintaining compliance with strict industry regulations.

Arizona State University: Providing the flexibility and efficiency needed to keep research running Ingesting billions of rows of structured and unstructured data into BigQuery for analysis and supporting research initiatives with one scalable cloud platform.

How the World Bank provides crucial information to global policymakers in seconds Enabling informed decision-making in seconds with AI, speeding up the process by 90% compared to previous manual methods.

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.

The Multi-Agent campus: Accelerating research with AI Learn how multi-agent AI systems, including AI co-scientists, are accelerating research by analyzing vast datasets, synthesizing literature, and rapidly improving time-to-discovery. The agentic era in education Accelerate scientific discovery and research by learning how intelligent AI agents powered by Gemini Enterprise can overcome institutional data silos.

Creating the AI-Literate campus: Advancing skills for faculty and students Examine key institutional approaches for bridging the faculty-student AI divide by developing essential AI competencies and addressing related safety and policy concerns.

Faculty and the machine: Using AI to advance student literacy Harness AI's potential by examining success stories and strategies that transform it from a classroom challenge into an invaluable tool for enhancing research and writing across higher education. Research in the headlines AI-infused research has transformed research across disciplines and campuses.

Nobel physics prize 2024 won by AI pioneers John Hopfield and Geoffrey Hinton In two moves, AlphaGo and Lee Sedol redefined the future Google’s 105-Qubit Willow Chip achieves major quantum milestones Google public sector supports AI-optimized HPC infrastructure for researchers at Caltech Google DeepMind leaders share Nobel Prize in chemistry for protein prediction AI Ai2 partners with Google to advance AI research Carnegie Mellon University and Google public sector partner to accelerate AI research with extensive GPU Cloud deployment Google and Harvard unveil most detailed ever map of human brain Google introduces A.

I.

agent that aces 15-day weather forecasts Biostate AI launches K-Dense Beta, an AI agent that compresses research cycles from years to days; Validated with Harvard longevity discovery breakthrough Google DeepMind adds nearly 400,000 new compounds to Berkeley Lab’s materials project How Google public sector and Google DeepMind can power the Genesis Mission and a new era of scientific discovery Find a trusted partner who can help you purchase and deploy Google Cloud for accelerated and AI-ready research.

Join leaders in over 70 countries fueling their research with Google Cloud research credits Advance your research with Google Cloud by giving you access to computing power that will make the next big thing possible and increase your impact.