https://gpufit.tech/gpu/v100-32gbNew catalog models scored against Tesla V100 32GB.https://gpufit.tech/models/bottlecapai-thinkingcap-gemma-4-26b-a4b-ithttps://gpufit.tech/models/bottlecapai-thinkingcap-gemma-4-26b-a4b-itFri, 23 Oct 2026 21:26:38 GMTTight fit fully on your Tesla V100 32GB at Q8_0, 8K context, about 79–108 tok/s. Weights 25.0 GB plus 0.51 GB of KV cache — 26.1 GB of 30.4 GB usable. Up to 64K context still fits. 79–108 tok/s.https://gpufit.tech/models/nvidia-nemotron-3-5-bolt-e4bhttps://gpufit.tech/models/nvidia-nemotron-3-5-bolt-e4bFri, 23 Oct 2026 09:47:55 GMTRuns great fully on your Tesla V100 32GB at BF16, 8K context, about 31–43 tok/s. Weights 14.0 GB plus 0.14 GB of KV cache — 14.6 GB of 30.4 GB usable. Up to 128K context still fits. 31–43 tok/s.https://gpufit.tech/models/deepseek-v4-1-flash-1017https://gpufit.tech/models/deepseek-v4-1-flash-1017Sat, 17 Oct 2026 20:36:06 GMTWon't fit on Tesla V100 32GB. The smallest quant UD-IQ1_S is 217.0 GB before KV cache, and usable memory is 30.4 GB.https://gpufit.tech/models/lfm2-5-24b-a2bhttps://gpufit.tech/models/lfm2-5-24b-a2bTue, 13 Oct 2026 14:19:48 GMTRuns fully on your Tesla V100 32GB at Q8_0, 8K context, about 177–241 tok/s. Weights 23.7 GB plus 0.63 GB of KV cache — 24.9 GB of 30.4 GB usable. Up to 64K context still fits. 177–241 tok/s.