Researchers at SGLang have demonstrated that NVIDIA's GB200 NVL72 system can significantly outperform the prior H100 model, showing up to a 2.7× increase in LLM inference throughput when tested with the DeepSeek-V2 671B model. The enhancements are due to optimized software configurations designed for the Blackwell architecture, facilitating high-speed operations and efficient token routing. This benchmark focuses on inference performance, with implications for faster AI responses and improved cost efficiency, particularly in applications demanding high workloads like technical summarization and enterprise AI retrieval.
The GB200 NVL72 system delivers a 2.7× increase in LLM inference throughput due to software optimizations tailored for its architecture, particularly in matrix operations.
Benchmarks show that the GB200 can achieve 7,583 tokens per second per GPU, significantly enhancing response times for complex tasks in large-scale AI applications.
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