Realtime and Batch Processing of GPU Workloads

SS&C Technologies runs 47 trillion dollars of assets on our global private cloud. We have the primitives for infrastructure as well as platforms as a service like Kubernetes, Kafka, NiFi, Databases, etc. A year ago we broke ground and went live with AI as a service providing RAG, inference for embeddings, LLM text, image and voice and we needed an efficient and low TCO platform to power the needs of the business. Our centralized AI Gateway has a prioritized job scheduler that we wrote and we will discuss how over 300 production use cases run workloads in a way that provide the SLAs for the demands required while keeping the GPU costs down. We also run on AWS around the globe and will discuss how the platform works in a multi cloud environment also keeping costs down in different ways in AWS while also meeting SLAs.