Kog is going deeper to squeeze more inference out of GPUs
2mo
- Published
- Collected
The idea that GPUs are poorly suited for agentic workflows may be a misconception, according to French startup Kog.
overfeed.news indexes and links. We publish a short excerpt — the full article stays at TechCrunch AI.
More from TechCrunch AI
Log in to follow this source
When it came to Cal AI’s viral success, a small army of influencers paid off
The company generated over $30 million in revenue in two years and was acquired by MyFitness for an undisclosed amount of money in March.
Meta launches an open-weight model that runs on Macs
Meta and Apple have teamed up for the launch of the social media giant's newest model, Muse Spark Open, which will run locally on Apple…
Amazon devices chief Panos Panay sees a future where AI devices replace the need to use apps
Speaking at TechCrunch Disrupt, Amazon devices chief Panos Panay described a future where ambient AI devices work in the background, anticipating users' needs instead of…
Anthropic is letting METR researchers look under the hood with employee-level access
METR will publish its own assessments of Anthropic’s risks, incidents, and practices, and the frontier AI model maker has given up the right to block…