French startup Kog is challenging the common belief that GPUs are poorly suited for agentic AI workflows, claiming they can squeeze significantly more inference performance out of existing GPU hardware through deeper optimization techniques.
Background
GPU inference optimization has become a critical focus as AI workloads scale, with agentic workflows presenting unique computational patterns that differ from traditional batch inference. Many developers have assumed GPUs are suboptimal for these interactive, multi-step workflows.
- Source
- TechCrunch
- Published
- Aug 14, 2026 at 10:50 PM
- Score
- 6.0 / 10