French Startup Kog Aims to Wring More Inference From GPUs

In one line: French startup Kog argues the belief that GPUs are ill-suited for agentic workflows is a misconception, and pitches a way to get more inference out of existing hardware.

Key points

• Kog says the notion that GPUs are poorly suited for agentic workflows may be a misconception.
• The startup reportedly focuses on going deeper into existing GPUs to raise inference throughput, rather than swapping hardware.
• TechCrunch profiled the French company's approach.

Why it matters

As agentic services proliferate, inference cost and latency are emerging bottlenecks. If squeezing more out of existing GPUs holds up, teams could cut inference costs without new hardware spend.

Read more

• Kog is going deeper to squeeze more inference out of GPUs — TechCrunch