Master AI chip principles with new IEEE design program
IEEE is launching a training program on AI chip design as hardware grows more complex. Larger models demand more computation, pushing the industry toward chips built for specific tasks.
IEEE is launching a training program on AI chip design as hardware grows more complex. Larger models demand more computation, pushing the industry toward chips built for specific tasks.
Seismora is developing networking technology to coordinate AI workloads across providers and computing environments. Its control plane would help applications decide whether a task runs on a device, at the edge or in the cloud.
A Hugging Face blog post discusses approaches to scheduling workloads on GPU clusters.
Wall Street firms are bringing AI data center investments to public markets. Political, liquidity and project risks are growing at the same time.
The WTO has raised its 2026 forecast for global merchandise trade growth to 3.9%, driven by AI-related goods. These goods make up 14.8% of trade but 47% of its growth in value in the first half, with Asia dominating and Europe’s export share small.
Ukrainian drones have damaged a data center belonging to Yandex, often called Russia’s Google. The facility housed supercomputers used to train Yandex’s AI model.