Real-time LLM Inference on Standard GPUs: 3k tokens/s per request
9.1 relevance
Score Breakdown
technical depth 9
novelty 8
actionability 7
community 8
strategic 6
personal 10
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Real-time LLM inference optimization, highly relevant and actionable.
Summary
Kog achieves 3,000 tokens/s per request on standard datacenter GPUs (e.g., H200) by co-designing model architecture, runtime, and low-level GPU kernels to eliminate software bottlenecks in single-request decoding. This memory-bandwidth-bound optimization targets the sequential loops of AI agents, where 50k-token workflows drop from eight minutes to under twenty seconds, without requiring proprietary inference hardware.