#AI accelerators

Microsoft's Maia 200: 820 mm², 140B Transistors, But Older Memory

Six stacks of HBM3e and 7 TB/s, disclosed on the same afternoon OpenAI showed HBM4 at 15.4 TB/s — and Microsoft is still 'preparing to deploy.'

4d ago

A Microsoft Azure Maia 200 processor package, labelled on its heat spreader, held above a circuit board

AI Chips

OpenAI's Hot Chips Demo: 27 EFLOPS Means 2,048 Chips, at 4-Bit

Jalapeño is real silicon running Codex — 13.4 PFLOP/s, 216 GiB of HBM4, 700 watts. Every comparison being drawn against Nvidia crosses a precision boundary that voids it.

4d ago

Close-up of a large AI accelerator package with an exposed silicon die, mounted on a green circuit board

Nvidia

Nvidia Rubin Matches Blackwell Ultra's 288GB, But Not Its 2 ZFLOPS

The first architectural disclosure of Rubin came with two sets of numbers. One describes a GPU. The other describes a power station's worth of them, and they are already being mixed.

5d ago

Nvidia slide headed “Rubin GPU Delivers Industry-Leading Energy Efficiency at AI-Factory Scale”, with a specification table listing figures at 100 MW AI-factory scale beside an annotated package diagram.