The only way we can deploy AI in a cost-effective and sustainable way is to use compute solutions purpose-built for generative AI. By ensuring sufficient memory bandwidth to achieve high throughput (and ultimately efficiency), the cost of inference can be reduced by orders of magnitude. K.Y. Empire created the BMKY architecture to significantly enhance key metrics for large model based inference, improving performance by orders of magnitude.
● 18-32x better total cost of ownership (TCO) compared to GPUs when running LLaMA2-13B models at 4K
● 23x better power efficiency
● 18x lower latency
● 42x higher memory bandwidth