Atmospheric Computing

Atmospheric Computing

Cloud computing has been extremely successful, but it lost the values that drove personal computing. We can solve this by evolving forward.

Atmospheric Computing Research Proposal

Atmospheric computing research proposal exploring interconnected computing islands and cloud infrastructures enabled by open social protocols.

Google Cloud Next 2026: The End Of The AI Pilot Era

Google Cloud Next 2026 opened with Thomas Kurian declaring the end of the AI pilot era and Sundar Pichai comparing the enterprise refrain of last year (“Can we build an agent?”) to today’s: “How do we manage thousands of them?” Google Cloud Next ’26 answers the second question with a single product story: Gemini Enterprise […]

ATmosphere Conf 2026: the internet built for people, not platforms

370 people in Vancouver, 500 online, all working on the same question: what does the internet look like when users own their data? Highlights from the AT Protocol community conference.

Cloud Computing Services | Microsoft Azure

Invent with purpose, realize cost savings, and make your organization more efficient with Microsoft Azure’s open and flexible cloud computing platform.

The next 10 years for cloud computing

The landscape of cloud computing is changing significantly as enterprises question the value of public cloud solutions. This shift marks a departure from previous years when the public cloud was widely regarded as the panacea for all technology and infrastructure needs. Companies are now reconsidering the efficacy, cost efficiency, and strategic alignment of public cloud computing in their IT frameworks. We’ve also been discussing this topic here in recent years.

Health-Informed Computing: Estimating and Addressing the Public Health Impact of Data Centers

The surging demand for artificial intelligence (AI) has led to a rapid expansion of energy-intensive data centers, contributing to criteria air pollutant emissions and raising public health concerns that have received comparatively limited attention in sustainability assessments. This paper introduces a principled methodology to model air pollutant emissions for data centers and estimate the public health impacts. Our findings reveal that the growing demand for AI and computing technologies is projected to push the total annual public health burden of U.S. data centers up to more than $20 billion in 2028. Although national-level impacts remain modest, data center health costs are unevenly distributed: in the most affected counties, the estimated per-household health burden can reach about seven times the national average. Next, we propose a health-informed computing framework that explicitly incorporates public health impacts into data center resource management across space and time, mitigating public health costs while supporting environmental sustainability. More broadly, we recommend extended energy reporting to include public health impact of data centers and paying attention to all impacted communities.

Health-Informed Computing: Estimating and Addressing the Public Health Impact of Data Centers

The surging demand for artificial intelligence (AI) has led to a rapid expansion of energy-intensive data centers, contributing to criteria air pollutant emissions and raising public health concerns that have received comparatively limited attention in sustainability assessments. This paper introduces a principled methodology to model air pollutant emissions for data centers and estimate the public health impacts. Our findings reveal that the growing demand for AI and computing technologies is projected to push the total annual public health burden of U.S. data centers up to more than $20 billion in 2028. Although national-level impacts remain modest, data center health costs are unevenly distributed: in the most affected counties, the estimated per-household health burden can reach about seven times the national average. Next, we propose a health-informed computing framework that explicitly incorporates public health impacts into data center resource management across space and time, mitigating public health costs while supporting environmental sustainability. More broadly, we recommend extended energy reporting to include public health impact of data centers and paying attention to all impacted communities.

Expanding our use of Google Cloud TPUs and Services

Announcing a dramatic increase in Anthropic's compute resources

AI-Native Cloud | DigitalOcean

Run AI products in production with a unified stack for agents, inference, and cloud—built for control, performance, and economics at scale.

LIMITS 2025 -- Workshop on Computing within Limits

The LIMITS workshop concerns the role of computing in human societies situated in a world of limits, such as limits of extractive logics, limits to a biosphere’s ability to recover, limits to our knowledge, or limits to technological solutions to societal issues. As an interdisciplinary group of researchers, practitioners, and scholars, we seek to reshape the computing research agenda, grounded by an awareness that contemporary computing research is intertwined with ecological limits in general, and climate- and climate justice-related limits in particular. LIMITS 2025 solicits submissions that move us closer towards computing that supports diverse human and non-human lifeforms and thriving biospheres.

A low-carbon computing platform from your retired phones

Jennifer Switzer, Visiting Postdoctoral Researcher, and David Patterson, Fellow, Google

Google’s exponential path to climate-wrecking digital bloat

Google’s latest report reveals a completely unprecedented rise in energy consumption – more than any of us expected. Generative AI is a climate carbon bomb.