💡 AI’s hunger for GPUs is outpacing supply. Can infrastructure keep up? @KarlMozurkewich dives into DeepSeek’s impact on AI hardware in @AIThority. @Storj is tackling the challenge with a scalable, distributed cloud platform. 📖Read on: https://t.co/XGPBpY4Ilt
Last week, our CEO/Co-Founder @Dr_GGP connected with @agamsh from @Computerworld on the surging demand for compute thanks to new, powerful #GenAI models — and why optimizing model size and code is critical to support #LLM adoption. ICYMI: https://t.co/ILgi0GlNih
U.S. data centers are forecasted to consume 4x more energy by 2030— driven by AI and an increasingly digital world ⚡ Here, our partner, BGO, highlights the projected rise in U.S. data center energy use. https://t.co/2LnySOJ1Yr https://t.co/Gq6rv8nNyQ

Aethir has announced its decentralized cloud platform, which is distinguished as an enterprise-grade GPU as a service solution, boasting an annual recurring revenue (ARR) exceeding $125 million. The platform utilizes the latest NVIDIA GPUs, including the H200 and GB200 models, to enhance its network capabilities. Meanwhile, Google is in negotiations with CoreWeave to lease access to NVIDIA's advanced Blackwell GPUs, as CoreWeave has emerged as a key provider for major technology firms like Google, OpenAI, and Meta. The increasing demand for data centers, driven by AI and cloud computing, is also contributing to a projected fourfold increase in energy consumption by U.S. data centers by 2030. This surge in energy demand is prompting discussions on sustainability and the development of green data centers, which are estimated to represent a $400 billion market opportunity. AI's growing appetite for GPUs is creating supply challenges, and companies like Storj are working on scalable cloud solutions to address these infrastructure needs.








