CoreWeave targets GPU utilization in continuous AI post-training

What happened

As enterprises continually refine AI agents (AI that carries out multi-step tasks rather than answering one question), reducing delays between training rounds can help keep that process moving. GPU (a chip built for many calculations at once, used for graphics and AI) utilization during post-training depends partly on how efficiently infrastructure moves data and loads updated models.

The need for continual improvement is pushing CoreWeave Inc. provides […] The post CoreWeave targets GPU utilization in continuous AI post-training appeared first on SiliconANGLE .