Meta recently released a Llama model with 2 trillion parameters. This scale increases performance but spikes energy consumption and carbon footprints. Researchers are now pursuing hardware-level optimizations to maintain high performance while reducing inference time. This approach offers an alternative to the current trend of using lower-precision numbers or smaller models.