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Imperial College London
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Achieving up to 2.3x higher training throughput, Tangram transforms how we approach parallelization in heterogeneous GPU clusters.
Scepsy achieves up to 2.4x higher throughput and 27x lower latency for agentic workflows by intelligently scheduling LLMs based on aggregate execution time shares, outperforming systems that treat LLMs independently or rely on manual allocation.
