Multi-GPU inference

Multi-GPU deployments allow the distributed inference of large language models (LLMs) by distributing those models across multiple GPUs. This allows for the inference of larger models and enables larger batch sizes. It is advantageous for applications which require high throughput, reduced latency, and efficient utilization of computational resources.