IBM AI Silicon
The chips IBM builds to run AI: the Spyre Accelerator card you can order for a Power 11 server today, the Matrix Math Acceleration already sitting inside your processor, and the research silicon that shows where the next card comes from.
IBM Spyre Accelerator for Power
A 75 watt PCIe card that adds more than 300 TOPS of AI inference to a Power 11 server. It is the only IBM AI chip an AS/400 shop can actually order as an add-on, and it comes with a short list of things it refuses to work without.
On-Chip AccelerationPower 11 Matrix Math Acceleration
The AI acceleration most AS/400 shops already own and have never switched on. It is inside every core of the processor, it costs nothing extra, and it is the cheapest honest answer to a first AI pilot.
Mainframe ProcessorIBM Telum II Processor
The mainframe processor that proved IBM's whole AI strategy. Telum II does not go in a Power server, but the AI engine inside it is the reason the Spyre card exists, and the reason IBM talks about inference in milliseconds rather than seconds.
Research SiliconIBM Artificial Intelligence Unit (AIU)
The research chip that became the card you can order. The AIU is why the Spyre Accelerator has 32 cores and why those cores look so much like the AI engine already inside an IBM Z processor.
Research SiliconIBM NorthPole
A research chip with no separate memory at all. NorthPole claims 25 times the energy efficiency of a conventional design by refusing to move data, and IBM has already run a Granite model on it.
Research SiliconIBM NanoStack 0.7 nm Transistor
IBM says it has built the first transistor smaller than one nanometre, stacking them in three dimensions to fit nearly 100 billion onto a fingernail. It is the answer to a question every AI buyer keeps asking: does this keep getting cheaper?