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Kimi K3 LLM runs on 16 NVIDIA GB10 chips, hitting 20+ TPS

By PulseAugur Editorial · [1 sources] ·

The Kimi K3 large language model has been successfully deployed and is running on a cluster of 16 NVIDIA GB10 Grace Blackwell Superchips. This setup achieved an average throughput of over 20 tokens per second, with a peak of 38 tokens per second and 750 tokens per second for prefill operations. The deployment was facilitated using vLLM, and instructions for replicating this setup are expected to be published. AI

IMPACT Demonstrates the performance capabilities of the Kimi K3 model on advanced hardware, potentially influencing future deployment strategies.

RANK_REASON The item details the performance of a specific LLM on a particular hardware cluster, including benchmark results. [lever_c_demoted from research: ic=1 ai=1.0]

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Kimi K3 LLM runs on 16 NVIDIA GB10 chips, hitting 20+ TPS

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0 / 100
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Newsworthiness bucket
Tool
The item details the performance of a specific LLM on a particular hardware cluster, including benchmark results. [lever_c_demoted from research: ic=1 ai=1.0]
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Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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infra, model release
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High
Clearly on-topic for AI-industry coverage.
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71 days old
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COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/ciprianveg ·

    Kimi K3 full model running on 16x GB10 cluster at 20+tps

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1vfl525/kimi_k3_full_model_running_on_16x_gb10_cluster_at/"> <img alt="Kimi K3 full model running on 16x GB10 cluster at 20+tps" src="https://preview.redd.it/x4w1912fyehh1.jpeg?width=640&amp;crop=smart&amp;aut…

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