COMPUTE & SILICON
Quantifying the hidden energy overhead of autonomous AI agents
New research from KAIST reveals that autonomous AI agents consume significantly more power than standard generative models due to iterative reasoning loops.
data centers
COMPUTE & SILICON
Institutional Capital Signals Sustained Three-Year Horizon for AI Infrastructure
Market analysts project that the capital expenditure cycle for generative AI will persist through 2028, driven by persistent demand for high-performance hardware.
COMPUTE & SILICON
NVIDIA, Oklo, Los Alamos Team on Nuclear AI Data Centers
Facing AI’s unprecedented energy hunger, NVIDIA, Oklo, and Los Alamos are building data centers powered by advanced small modular nuclear reactors. This strategic alliance aims to create a self-sustaining energy future for AI, even using AI to develop its own nuclear fuel.
THE DISPATCH
Applied machine learning, filed daily.
Model releases, silicon, clinical deployment, and the policy shaping them. No digest padding.