# Kog Is Going Deeper to Squeeze More Inference Out of GPUs

> **Platform:** [SPIDITS AI](https://spidits.com/) — Real-Time AI News & Market Intelligence  
> **Published:** 2026-08-14T12:00:00.000Z  
> **Category:** PRODUCT_LAUNCH  
> **Impact Score:** 90/100  
> **Primary Source:** [TechCrunch AI](https://techcrunch.com/2026/08/14/kog-is-going-deeper-to-squeeze-more-inference-out-of-gpus)  
> **Canonical Citation:** [https://spidits.com/timeline/kog-is-going-deeper-to-squeeze-more-inference-out-of-gpus](https://spidits.com/timeline/kog-is-going-deeper-to-squeeze-more-inference-out-of-gpus)

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

## Why It Matters (Strategic Analysis)
Kog's software optimization approach contradicts the notion that GPUs are poorly suited for agentic workflows, potentially unlocking new capabilities on existing hardware and addressing critical bottlenecks in inference speed and costs.

## Referenced Coverage & Sources
- **[TechCrunch AI](https://techcrunch.com/2026/08/14/kog-is-going-deeper-to-squeeze-more-inference-out-of-gpus)**: Kog is going deeper to squeeze more inference out of GPUs — _The idea that GPUs are poorly suited for agentic workflows may be a misconception, according to French startup Kog._

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*Synthesized by SPIDITS AI Market Intelligence Desk. Track live AI news, model releases, and funding: [https://spidits.com](https://spidits.com)*