Scaling Compute – AI at 1/1000th the cost
If successful, we will create new technological options for the infrastructure supporting AI systems, enabling AI processors with performance, efficiency, and ease of manufacturing well beyond what is deemed possible today.
The digital electronics industry that has transformed our lives in immeasurable ways is defined by the simple fact that, for 60+ years, we have benefited from exponentially more computing power, at lower cost.
This fact is no longer true. For the first time in history, increased performance requires increasing costs and this coincides with an explosion of demand for more compute power driven by AI.
Our current mechanisms for training AI systems utilise a narrow set of algorithms and hardware building blocks, which require significant capital to develop and manufacture. The combination of this significance and scarcity has far-reaching economic, geopolitical and societal implications.
We see an opportunity to draw inspiration from natural processing systems, which innately process complex information more efficiently (on several orders or magnitude) than today’s largest AI systems.
