---
title: "Kog Goes Deeper to Extract More Inference Performance from GPUs"
source: "TechCrunch：AI（RSS）"
source_tier: "t2"
url: "https://techcrunch.com/2026/08/14/kog-is-going-deeper-to-squeeze-more-inference-out-of-gpus/"
permalink: "https://feed.astralor.com/items/itm_5f4cacaaf2bf7e982ebf0b2c"
published: "2026-08-14T14:50:11.000Z"
score: 73
channel: "ai"
tags: ["Agentic workflows","AI infrastructure","GPU inference","Kog"]
---

# Kog Goes Deeper to Extract More Inference Performance from GPUs

## AI commentary

> Kog's low-level optimization approach hits the pain point of high inference costs in agentic scenarios. Instead of scaling models, squeezing hardware potential is a more pragmatic path, worth attention from AI engineering teams.

## At a glance

French startup Kog argues that GPUs' poor performance in agentic workflows may be a misconception, not a hardware limitation. The company is going deeper to squeeze more inference out of GPUs, targeting the unique demands of agentic tasks such as multi-step reasoning and long context retention. By exploring low-level hardware optimizations, Kog aims to unlock significant efficiency gains, potentially reducing inference costs and shortening the path to production for AI agents. While technical specifics are not yet disclosed, the startup's approach challenges prevailing assumptions about GPU capabilities and could influence how AI infrastructure is designed. This news is particularly relevant for AI practitioners, infrastructure teams, and enterprises seeking cost-effective inference solutions.

## Key points

- Kog contends that the belief that GPUs are ill-suited for agentic workflows may be a misconception.
- The startup is optimizing GPUs at a deeper level to extract more inference performance.
- The approach could lower inference costs and accelerate AI agent adoption.
- Although technical specifics remain undisclosed, it could reshape AI infrastructure assumptions.

## Full text

The idea that GPUs are poorly suited for agentic workflows may be a misconception, according to French startup Kog.

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