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405B Llama Model Runs on Single 8xA100 Node with 30+ Specialists

A user shared their experience running a 405B parameter Llama model on a single 8xA100 node, achieving sub-200ms adapter switching times. They successfully loaded over 30 fine-tuned specialist adapters, demonstrating impressive throughput and low latency for demanding tasks, particularly in sensitive niches like health and legal. This setup was chosen to overcome the limitations of smaller models in reasoning depth and to avoid the higher costs associated with H100 hardware. AI

IMPACT Demonstrates efficient deployment of large models on specialized hardware, potentially reducing costs for complex AI applications.

RANK_REASON User-shared technical implementation details and performance metrics for running a large model on specific hardware.

Read on r/LocalLLaMA →

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

405B Llama Model Runs on Single 8xA100 Node with 30+ Specialists

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/Esph1001 ·

    Would there be a use case for running a 405B on a single 8xA100 node with up to 30 fine tuned specialists loaded hot at sub 200ms switching?

    <!-- SC_OFF --><div class="md"><p>I know people consider llama 405b and others to be old now, lol, but I'm wondering if there would be a use case for it.</p> <p>I had a use case for a project I was building and I wanted to share what I got and get some feedback which would be muc…