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Tesla V100 vs Instinct MI100 for local AI

Both fit the same models we track, up to Qwen3 32B. The Instinct MI100 generates about 37% faster on any model both can run, because it has 1229 GB/s of memory bandwidth to the Tesla V100's 900 GB/s.

The numbers that matter

Memory and bandwidth

Memory decides which models fit. Bandwidth decides how fast they generate, because every token reads the model's active weights once.

Tesla V100Instinct MI100
Memory16 or 32 GB VRAM32 GB VRAM
Bandwidth900 GB/s1229 GB/s
Biggest model that fitsQwen3 32BQwen3 32B
Best everyday pickQwen3 32B, ~25 tok/sQwen3 32B, ~34 tok/s
Model by model

Every model, side by side

Estimated generation speed at the largest memory size each was sold in (32 GB and 32 GB).

ModelTesla V100Instinct MI100
Qwen3 4B
About 4 GB
~200 tok/s Runs great~270 tok/s Runs great
Qwen3 8B
About 7 GB
~95 tok/s Runs great~130 tok/s Runs great
Gemma 3 12B
About 10 GB
~61 tok/s Runs great~83 tok/s Runs great
Qwen3 14B
About 11 GB
~53 tok/s Runs great~73 tok/s Runs great
gpt-oss 20B
About 16 GB
~160 tok/s Runs great~220 tok/s Runs great
Gemma 3 27B
About 19 GB
~29 tok/s Usable~40 tok/s Runs great
Qwen3 30B-A3B
About 21 GB
~160 tok/s Runs great~220 tok/s Runs great
Qwen3 32B
About 22 GB
~25 tok/s Usable~34 tok/s Runs great
Llama 3.3 70B
About 45 GB
Needs 45 GBNeeds 45 GB
gpt-oss 120B
About 67 GB
Needs 67 GBNeeds 67 GB
Qwen3 235B-A22B
About 144 GB
Needs 144 GBNeeds 144 GB
DeepSeek R1 671B
About 406 GB
Needs 406 GBNeeds 406 GB
Which should you get?

The Instinct MI100, for speed. They fit the same models. Price matters as much as either number: check used prices on the builds page, where every parts list has a measured or estimated speed.

How we estimate

Both columns use the same formula: memory bandwidth divided by the weights read per token, calibrated on our own rack, with Ollama's default 4-bit sizes. Real results are usually within about a third. Measured either one? Send us the number.

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