Tag: Enterprise AI performance optimization
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Performance and Energy Trade-offs in Multi-Request LLM Workflows
Explore how multi-request workflows impact large language models' performance and energy use, with strategies to optimize latency and efficiency.
AEG: Baremetal AI Framework for Fast Heterogeneous Acceleration
Discover AEG, a baremetal AI framework boosting ML inference on heterogeneous accelerators with 9.2× efficiency and minimal latency overhead.
Boost Small AI Agents Performance with Role Orchestration
Discover how role orchestration at inference time doubles small AI agents' task success, closing the gap with larger models on modest hardware.
WAter: Efficient Workload-Adaptive DBMS Tuning System
Discover WAter, a workload-adaptive DBMS tuning system that cuts tuning time by 73.5% and boosts performance by 16.2% using workload compression.
Balancing Performance, Energy & Privacy in On-Device AI
Explore the trade-offs between performance, energy use, and privacy in on-device AI with insights from cutting-edge research on mobile LLMs.