Data centers and hardware infrastructure are currently under double pressure: on one hand, they must withstand the exponential growth in compute demands; on the other, they must ensure physical and software isolation for increasingly autonomous and a…
Подробнее →The AI race is hitting a wall of physics: computing power requires so much energy and capital that even giants like Google are recording historic financial dips. Meanwhile, AMD is preparing its answer to NVIDIA, and the US Army is running into token …
Подробнее →Artificial intelligence requires colossal hardware resources, and the infrastructure is starting to fray. From New York's power grids to the Pentagon's servers—compute capacity and supporting infrastructure are becoming the industry's primary bottlen…
Подробнее →AI development is rapidly hitting the physical limits of the real world. While model developers improve algorithmic efficiency, the industry is facing a severe shortage of power grids and computing resources, and the cybersecurity of agents is moving…
Подробнее →AI Hardware: Digest for July 23, 2026 AI agents are starting to hit physical and infrastructural limits. While models are getting smarter, compute resources and sandbox security are becoming the bottleneck—from data centers to token quotas. OpenAI AI…
Подробнее →Infrastructure Appetite: Google Prepares the Next Generation of LLMs Google has announced the release of Gemini 3.6 Flash and confirmed that it is already actively training Gemini 4. The release of faster, cheaper Flash versions traditionally signals…
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