Generative artificial intelligence (AI) is one of the most revolutionary technologies to hit the world since the internet. This tool has the potential to transform myriad industries, from financial analysis to pharmaceutical research.
That said, this new technology has hurdles to overcome. The parameter sizes of large language models are rapidly increasing, making high throughput of the utmost importance within generative AI architectures. This — combined with the large number of GPUs necessary for training, fine-tuning, and inference — presents a demand for efficient interconnects.
This solution brief explores the needs of near-future generative AI architectures, as well as how optical I/O can help solve some of the problems currently facing industry leaders.
In this solution brief, we discuss:
This solution brief explores the needs of near-future generative AI architectures, as well as how optical I/O can help solve some of the problems currently facing industry leaders.
In this solution brief, we discuss:
- Challenges in scaling generative AI architectures
- Inefficiencies of traditional interconnects — electrical interconnects combined with pluggable optics
- Optical I/O solutions and supremacy for generative AI
- Standardization for interoperability
