Nvidia announced a desktop software program called AI Workbench to more easily containerize neural net models on local workstations to stage them for the cloud.
Nvidia CEO Jensen Huang on Tuesday showed off his company’s next iteration of the combination CPU and GPU, the «GH200» Grace Hopper «superchip.» The part boosts the memory capacity to 5 terabytes per second to handle increasing size of AI models.
Nvidia plans to ship next year an enhanced version of what it calls a «superchip» that combines CPU and GPU, with faster memory, to move more data into and out of the chip’s circuitry. Nvidia CEO Jensen Huang made the announcement Tuesday during his keynote address at the SIGGRAPH computer graphics show in Los Angeles.
The GH200 chip is the next version of the Grace Hopper combo chip, announced earlier this year, which is already shipping in its initial version in computers from Dell and others.
Whereas the initial Grace Hopper contains 96 gigabytes of HBM memory to feed the Hopper GPU, the new version contains 140 gigabytes of HBM3e, the next version of the high-bandwidth-memory standard.
