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New C engine runs 35B LLMs on 2014 Tesla K80 GPU

A new inference engine called Pantheon, built on the Foundry ML library, has been developed in plain C to run large language models on older hardware. This engine is capable of running 35B MoE models on a 2014 Tesla K80 GPU, achieving approximately 21 tokens per second for decoding. The system is designed to keep model weights on the GPU, reducing the need for system RAM, and includes features like prefix caching for improved performance in conversational contexts. AI

IMPACT Enables running large language models on older, more accessible hardware, potentially lowering the barrier to entry for AI experimentation.

RANK_REASON The item describes a new software tool for running LLMs on older hardware, not a frontier model release or significant industry event.

Read on r/LocalLLaMA →

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

New C engine runs 35B LLMs on 2014 Tesla K80 GPU

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The item describes a new software tool for running LLMs on older hardware, not a frontier model release or significant industry event.
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COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/Electrical_Ninja3805 ·

    Running 35B MoE models on a Tesla K80 (2014) at ~21 tok/s, in plain C

    <!-- SC_OFF --><div class="md"><p>I've spent about a year on an inference engine that doesn't need modern hardware. It's called <strong>Pantheon</strong> (LLM engine) on top of <strong>Foundry</strong> (ML library), both in C with no outside libraries. The CUDA backend targets Ke…