With a billion-dollar talent hunt and 1.3 million GPUs in play, Zuckerberg unveils Meta’s plan to lead the AI race at the cost of jobs, energy, and global norms.
By GlobalTimesAI.com
Meta has thrown down a colossal challenge in the AI arms race. With its recently unveiled plans to launch Prometheus—a 1-gigawatt (GW) AI supercomputer cluster—and its even larger follow-up Hyperion, the social media and tech giant is signaling that it’s not just playing catch-up with OpenAI, Google, and xAI, but aims to define the future of superintelligence.
The Billion-Dollar AI Poaching and Project “Prometheus”

According to Bloomberg, Meta has reportedly offered up to $1 billion to lure top AI engineers—including from OpenAI’s Mira Murati-led startup—to work on its next-generation AI infrastructure .
The Prometheus cluster, slated to go live in 2026, is expected to include:
- 1.3 million NVIDIA H100 GPUs
- Over 2 exaflops of AI computing power
- An energy requirement of more than 1 GW, equivalent to powering hundreds of thousands of homes
This cluster is designed specifically for training general artificial intelligence (AGI) and Meta’s future LLaMA models, including LLaMA 4 and beyond.
Hyperion: Scaling Up the Future
What Prometheus begins, Hyperion aims to dominate. This upcoming cluster could consume up to 5 GW of power, roughly the same energy usage as a small city like Manhattan.
Technology Behind the Power
Meta is not just scaling up in brute force but also optimizing. Prometheus will utilize:
- NVIDIA Quantum2 InfiniBand network
- Grand Teton hardware (Meta’s open-source design via the Open Compute Project)
- Liquid cooling systems to manage the colossal heat output
The AI Compute Race Gets Hotter
With this infrastructure, Meta positions itself to compete with:

- xAI’s 300,000-GPU Memphis cluster
- OpenAI and Microsoft’s Stargate Project
- Google’s TPUv5-powered clusters
Meta’s initiative is clearly a strategic response to these players, aiming to establish LLaMA as the dominant open-source AI framework.
Job Creator or Job Eliminator?
This ambitious push has two sides of the coin:
- Pros:
- New engineering and hardware roles in data center construction and management
- Advancements in multimodal AI—AR, VR, real-time language translation
- Potential boost to open-source AI development
- Cons:
- Risk of automation-led job displacement
- Massive energy and water consumption
- Environmental sustainability concerns
Environmental Concerns: A Rising Storm
A 1GW data center is no small feat, and environmental experts are sounding alarms. Concerns include:

- Water usage for liquid cooling, with claims that freshwater used may come at the cost of human and agricultural needs
- Carbon footprint from continuous GPU processing
- Need for global transparency on energy and environmental metrics
This follows similar debates sparked by OpenAI and Google over their data center operations in Spain and Chile.
The Future: Open Source Meets Corporate Might
Despite concerns, Meta insists on staying true to its open-source roots. Prometheus and Hyperion will continue support for PyTorch and contribute to OCP (Open Compute Project).
The data centers are planned to be:
- Secure – physically and virtually isolated from public internet
- Private – encrypted user data
- Transparent – Meta promises regular updates on usage and sustainability
Final Thoughts: Innovation at What Cost?
With AI becoming the next infrastructure backbone, Meta’s Prometheus isn’t just a computing cluster—it’s a philosophical symbol. Will humanity master these machines for collective benefit, or will these supercomputers further deepen social and ecological divides?
As Meta accelerates toward its vision of AGI, it must also answer to environmentalists, labor unions, and policymakers demanding accountability and sustainability.
Internal Link Suggestions
- Meta’s AI Strategy
Link text: Meta’s growing investment in AI infrastructure
Link URL:https://globaltimesai.com/meta-announces-massive-ai-cluster-prometheus-hyperion/
(or relevant post) - AI Energy and Water Use
Link text: How AI is consuming Earth’s natural resources
Link URL:https://globaltimesai.com/ais-growing-appetite-not-just-for-jobs-but-for-water-power-the-planet/
- OpenAI & Microsoft Stargate Project
Link text: OpenAI and Microsoft’s $100B Stargate supercomputer project
Link URL:https://globaltimesai.com/openai-microsoft-stargate-ai-datacenter-initiative/
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Disclaimer:
This article includes information and insights collected from various credible and publicly available sources to provide an informative overview of current advancements in artificial intelligence and supercomputing infrastructure. All images featured are AI-generated and meant solely for illustrative and editorial purposes. No image or reference is intended to misrepresent or impersonate any individual or entity. Logos, names, and trademarks belong to their respective owners. The data and developments mentioned are subject to change as more information becomes available.