A new inference engine called unum-rt has been developed to improve local LLM decoding speeds, particularly under load. Benchmarks show unum-rt achieving 45.1 tokens per second when handling concurrent requests, significantly outperforming an open-source engine at 12.4 tokens per second. However, unum-rt is slower than the open-source engine when processing long, cold prompts, with the latter showing faster first-token arrival times and higher overall throughput. The developers emphasize that unum-rt's strengths align with their specific use case of overlapping AI agent requests, making it more suitable for their continuous workload. AI
IMPACT Offers potential for faster local LLM inference, especially in multi-request scenarios.
RANK_REASON Development of a new inference engine for LLMs, with performance comparisons to existing solutions.
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