Double GPU Efficiency Through Disaggregated Inference at No Extra Cost
What’s It About? Companies running large AI models often face the problem of inefficient GPU utilization. An innovative architectural approach called Disaggregated Inference could solve this challenge: by splitting inference workloads across two specialized GPU pools, resource utilization can be significantly improved. A real-world example shows how a large retailer using a 70-billion-parameter model for […]









