What can the Tesla V100 run?
With 16 GB, 5 of 12 popular open models fit. The best pick is gpt-oss 20B at about 160 tok/s, faster than you can read.
ollama run gpt-oss:20bFirst time? Install Ollama, then paste that into a terminal. Is this your machine? Check it on the homepage.
Every model the Tesla V100 16 GB can run
5 of 12 fit. Best pick: gpt-oss 20B.
- Qwen3 4BQuick everyday chat and summaries~200 tok/sRuns great
qwen3:4b - Qwen3 8BA solid all-rounder for chat and writing~95 tok/sRuns great
qwen3:8b - Gemma 3 12BReads images as well as text~61 tok/sRuns great
gemma3:12b - Qwen3 14BNoticeably smarter at reasoning and code~53 tok/sRuns great
qwen3:14b - gpt-oss 20BOpenAI's open model. Fast, strong reasoning~160 tok/sRuns great
gpt-oss:20b - Gemma 3 27BGoogle's best open model for its sizeneeds 19 GBToo big
gemma3:27b - Qwen3 30B-A3B30B smarts at small-model speedneeds 21 GBToo big
qwen3:30b - Qwen3 32BStrong coding and long answersneeds 22 GBToo big
qwen3:32b - Llama 3.3 70BClose to the big cloud modelsneeds 45 GBToo big
llama3.3:70b - gpt-oss 120BOpenAI's largest open modelneeds 67 GBToo big
gpt-oss:120b - Qwen3 235B-A22BAlibaba's flagship open model, for multi-GPU rigsneeds 144 GBToo big
qwen3:235b - DeepSeek R1 671BThe full DeepSeek R1, for the biggest rigsneeds 406 GBToo big
deepseek-r1:671b
Every model the Tesla V100 32 GB can run
8 of 12 fit. Best pick: Qwen3 32B.
- Qwen3 4BQuick everyday chat and summaries~200 tok/sRuns great
qwen3:4b - Qwen3 8BA solid all-rounder for chat and writing~95 tok/sRuns great
qwen3:8b - Gemma 3 12BReads images as well as text~61 tok/sRuns great
gemma3:12b - Qwen3 14BNoticeably smarter at reasoning and code~53 tok/sRuns great
qwen3:14b - gpt-oss 20BOpenAI's open model. Fast, strong reasoning~160 tok/sRuns great
gpt-oss:20b - Gemma 3 27BGoogle's best open model for its size~29 tok/sUsable
gemma3:27b - Qwen3 30B-A3B30B smarts at small-model speed~160 tok/sRuns great
qwen3:30b - Qwen3 32BStrong coding and long answers~25 tok/sUsable
qwen3:32b - Llama 3.3 70BClose to the big cloud modelsneeds 45 GBToo big
llama3.3:70b - gpt-oss 120BOpenAI's largest open modelneeds 67 GBToo big
gpt-oss:120b - Qwen3 235B-A22BAlibaba's flagship open model, for multi-GPU rigsneeds 144 GBToo big
qwen3:235b - DeepSeek R1 671BThe full DeepSeek R1, for the biggest rigsneeds 406 GBToo big
deepseek-r1:671b
Can the Tesla V100 run it?
Can the Tesla V100 run Qwen3 30B-A3B?
Yes, with 32 GB or more. Qwen3 30B-A3B needs about 21 GB and the Tesla V100 has 32 GB of VRAM. Expect about 160 tok/s, faster than you can read. The 16 GB version doesn't have room.
Can the Tesla V100 run Qwen3 32B?
Yes, with 32 GB or more. Qwen3 32B needs about 22 GB and the Tesla V100 has 32 GB of VRAM. Expect about 25 tok/s, about reading speed. The 16 GB version doesn't have room.
Can the Tesla V100 run Llama 3.3 70B?
No. Llama 3.3 70B needs about 45 GB and the Tesla V100 has at most 32 GB of VRAM. Ollama can still start it by putting part of the model in system RAM, but it runs several times slower. The most capable model it runs well is Qwen3 32B, at about 25 tok/s.
Real runs on the Tesla V100
Loading measured runs…
Generating a token reads the model's active weights from memory once, so speed is roughly memory bandwidth (900 GB/s) divided by the active weight size, with efficiency calibrated on our own rack. Sizes are Ollama's default 4-bit downloads plus about 1.2 GB for context. Real results are usually within about a third. Measured runs are on the leaderboard.
The Used workstation + 2× Tesla P100 runs Qwen3 32B at about 20 tok/s, from $750 used.