Putin will meet today with permanent members of the Security Council.

Iran's Islamic Revolutionary Guard Corps said on the afternoon of July 17 local time that its Aerospace Force struck the U.S. Al Udeid airbase in Qatar, claiming a U.S. long-range radar system and multiple aerial refuellers were completely destroyed and several aircraft were severely damaged.

Kimi K3 contains 2.8 tln parameters, routing each token to 16 of 896 experts and using MXFP4 weights with MXFP8 activations. The sparse-expert design cuts actual compute and low-precision weights reduce storage, but model scale still creates heavy VRAM demand. A single DGX B200 offers 1.44 TB of GPU memory—roughly comparable to the baseline volume of K3’s 4‑bit weights—but once caches, activations and runtime overhead are included it is unlikely to host the full model. B300 and MI355X single‑GPU configurations provide 288 GB VRAM and are better suited for large-model deployment. The bigger bottleneck is interconnect: multi‑B200 clusters can jointly hold the model but frequent cross‑GPU expert exchanges force heavy cross‑server traffic, which is materially less efficient than GB300 NVL72’s internal NVLink. Kimi therefore recommends supernodes of 64+ accelerators; high‑density deployments also require high‑speed interconnect, parallel software stacks, and upgraded power and cooling. In short: reduced compute, high memory footprint, and heavy interconnect requirements.