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#batch-processing News & Analysis

2 articles tagged with #batch-processing. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles
AIBullisharXiv โ€“ CS AI ยท Mar 47/103
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Nightjar: Dynamic Adaptive Speculative Decoding for Large Language Models Serving

Nightjar is a new adaptive speculative decoding framework for large language models that dynamically adjusts to system load conditions. It achieves 27.29% higher throughput and up to 20.18% lower latency by intelligently enabling or disabling speculation based on workload demands.

AIBullisharXiv โ€“ CS AI ยท Feb 276/107
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GetBatch: Distributed Multi-Object Retrieval for ML Data Loading

Researchers introduce GetBatch, a new object store API that optimizes machine learning data loading by replacing thousands of individual GET requests with a single batch operation. The system achieves up to 15x throughput improvement for small objects and reduces batch retrieval latency by 2x in production ML training workloads.