The V100 is a NVIDIA data-center GPU from its Volta generation, offering 16GB or 32GB of HBM2 memory and now often used as second-hand hardware by local-inference hobbyists. Recent coverage is practical: one user installed six 16GB V100 PCIe cards in a standard full-tower case with an AMD EPYC 7262 and a ROMED8-2T board, while open-source engine jitllm moved all layers of Llama-3.2-3B between V100s mid-reply with about a 20 ms pause. Forum posts also group the V100 with mostly retired server cards.
jitllm Moves Model Layers Between GPUs Mid-Reply in 8 msOpen-source inference engine jitllm moved all layers of Llama-3.2-3B between two T4s mid-reply with an 8.1 ms pause, paging the KV cache alongside the layers so no tokens were recomputed and output matched an unmoved run; on V100s the pause was about 20 ms and on a laptop crossing CUDA and Vulkan about 91 ms.
Post: owning a GPU cluster in 2030 like a gun for home defenseAn r/LocalLLaMA user half-jokingly predicts that by 2030 owning a GPU cluster will be as common as keeping a gun for home defense, imagining a sign with a V100 graphic reading 'we don't call tech support.'
Forum asks whether any hidden-gem GPUs remainA LocalLLaMA user asked whether any cheap hidden-gem GPUs remain, citing the Tesla P40, V100 and AMD M150 as mostly retired server or mining cards, and noted prices spike fourfold once YouTubers promote them, while seeking 24GB options and updates on AMD and Intel support.
User builds server with six V100 GPUs in standard caseA user installed six 16GB V100 PCIe GPUs in a full-tower case with an AMD EPYC 7262 CPU and a ROMED8-2T motherboard. Choosing the standard case because open-frame and server-style chassis are large and unattractive, the user is now testing the build and plans to eventually run Qwen3.8-Next-Flash with TP2 and PP3 settings.
The A.I. Daily