1 citations · 1 across the 3 of their papers we have counts for
4 papers · 1 filter
CPU-Limits kill Performance: Time to rethink Resource Control
Chirag Shetty, Sarthak Chakraborty, Hubertus Franke +4
Research in compute resource management for cloud-native applications is dominated by the problem of setting optimal CPU limits -- a fundamental OS mechanism that strictly restrict…
Story of Two GPUs: Characterizing the Resilience of Hopper H100 and Ampere A100 GPUs
Shengkun Cui, Archit Patke, Hung Nguyen +11
This study characterizes GPU resilience in Delta, a large-scale AI system that consists of 1,056 A100 and H100 GPUs, with over 1,300 petaflops of peak throughput. We used 2.5 years…
Hierarchical Autoscaling for Large Language Model Serving with Chiron
Archit Patke, Dhemath Reddy, Saurabh Jha +3
Large language model (LLM) serving is becoming an increasingly important workload for cloud providers. Based on performance SLO requirements, LLM inference requests can be divided…
Queue management for slo-oriented large language model serving
Archit Patke, Dhemath Reddy, Saurabh Jha +5
Large language model (LLM) serving is becoming an increasingly critical workload for cloud providers. Existing LLM serving systems focus on interactive requests, such as chatbots a…