Tagged "continuous-batching"
4 articles tagged continuous-batching, 10 July 2026 to 27 August 2026. Newest first.
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vLLM-iOS Achieves 88% Faster Multi-Agent Inference Through Continuous Batching on iPhone
vLLM-iOS implements continuous batching for concurrent LLM inference on iPhone, achieving 88% performance improvements. This breakthrough demonstrates practical multi-agent reasoning is viable on mobile edge devices.
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vLLM-iOS Achieves 88% Faster Multi-Agent Inference on Mobile Devices
A new iOS implementation of vLLM demonstrates continuous batching optimization that accelerates multi-agent LLM inference by 88% on mobile hardware. This represents a major breakthrough in edge deployment, enabling complex agent orchestration directly on consumer devices.
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Squeezing Silicon Limits: Effective Strategies to Eliminate GPU Idle Time and Maximize GPU Utilization
Practical techniques for maximising GPU utilisation during local LLM inference, addressing idle time and throughput bottlenecks that waste expensive compute resources.
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Intel-Scaler-vLLM 0.21.0-b1 Brings Latest Features for vLLM on Intel GPUs
vLLM, the high-performance LLM inference engine, has released version 0.21.0-b1 with optimized support for Intel GPUs. This update enables developers to leverage Intel's discrete graphics for efficient local model serving.