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Make Volta Fast Again

For those who have V100 cards, I wanted to point you to 1Cat-vLLM, a vLLM fork that enables optimized serving for these cards. Showing stats for Qwen3.6-35b comparing a Strix Halo with a hughly optimized llama.cpp fork (pwilkin) and the V100 with 1Cat. It’s not apples to apples, but I decided to sh…

Read the full story at r/LocalLLaMA ↗

Timeline · 1 report

  1. 2026-09-25 17:02 · r/LocalLLaMA
    Make Volta Fast Again

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  1. Accelerating vision-language models with LFM2.5-VL-DSpark — Hugging Face Blog
  2. model : add Ling 3.0 VL support by aetherbird · Pull Request #29151 · ggml-org/llama.cpp — r/LocalLLaMA
  3. My foray into local ai. Two BC-250 ex mining apus running Qwen3.6-35B-A3B Q4_K_M at 60 tok/s with 64k context — r/LocalLLaMA
  4. Ternary Bonsai 2 27B at up to 532 tok/s on one RTX 4090, native Windows: MTP + n-gram speculative decoding in a from-scratch CUDA engine — r/LocalLLM
  5. Qwen3.8-Flash-Next on 12GB VRAM - 65 tokens per second — r/LocalLLaMA
  6. Best native alternative to WebUI for remote access to local LLMs? — r/LocalLLM
  7. Qwen3.8 27B on Intel X7 358h + B390, with pi + llama.cpp surprised by its own RAM speed — r/LocalLLM
  8. 2x Radeon AI PRO R9700 + Qwen3.8-27B: 31 t/s on Windows → 113 t/s on Linux/vLLM. The fix was an M.2 riser, because the chipset slot doesn't do PCIe atomics. — r/LocalLLM

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