SAGA introduces workflow-atomic scheduling for compound AI agents, achieving 1.64x lower task completion time and 1.22x better memory utilization than vLLM on a 64-GPU cluster at the cost of 30% lower peak throughput.
A New Presumed Commit Optimization for Two Phase Commit
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The paper defines four governance primitives for shared memory in multi-agent LLM fleets and reports evaluation results from a live production service.
DDS introduces typed contracts at intent, operator DAG, skills, and runtime layers to bound agentic search for data system compositions, achieving convergence on a trading workload where unbounded iteration fails.
Second-generation serverless platforms using lightweight isolates and edge deployment achieve roughly 10 ms warm latency and negligible cold starts, according to architecture analysis of seven platforms and microbenchmarks totaling over 38 million function calls.
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