French startup Kog is taking a different approach to the AI inference race by focusing on deep software optimization for conventional data center GPUs, such as Nvidia and AMD models. Rather than relying on purpose-built hardware, the company uses low-level engineering techniques to extract maximum performance from the hardware enterprises already own.
Led by Gaël Delalleau, Kog aims to eliminate frustrating delays for software engineers and professional developers relying on heavy AI workflows. While expanding the technology to large language models remains a significant hurdle, the startup plans to showcase major performance milestones soon to secure its next funding round.
- Kog optimizes standard data center GPUs through deep software engineering.
- The approach uses low-level reverse-engineering techniques inspired by cybersecurity.
- The startup promises dramatically faster AI inference without new hardware.
- Upcoming milestones focus on scaling the technology to large language models.
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