How do you think Perplexity AI's new MoE communication library will impact the efficiency of large-scale AI models?

With Perplexity AI introducing a high-performance, portable Mixture-of-Experts (MoE) communication library—achieving 10x faster performance compared to standard All-to-All communication—how might this advancement influence large-scale AI model deployment, GPU parallelism optimization, and the scalability of distributed AI systems? Considering its compatibility across diverse hardware configurations and significant latency reductions, what are the potential benefits for enterprises focusing on AI infrastructure and high-performance computing?

Maeve