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RTX 5090 vs Tesla V100 x2

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Best sourced output tok/s per model (single-stream generation) — engine and version, quantization, context and a source link on every row. Hover a value for the quant.

RTX 509027 sourced runs · best 446.7 tok/s
Tesla V100 x25 verified runs · best 96.1 tok/s

Specs and evidence

RTX 5090Tesla V100 x2
VRAM32 GB32 GB
Sourced runs on the board275
Models measured173
Best output tok/s446.7 tok/s96.1 tok/s
Highest measured peak VRAM31.3 GB25.2 GB
Street price (latest snapshot)——

Sourced rows only. Peak VRAM is recorded by the person who ran the benchmark, so it is a floor for what the card can hold, not a specification. Price snapshots.

Head-to-head

On the 2 models measured on both cards, RTX 5090 leads on 2, Tesla V100 x2 on 0. The widest gap is on Qwen3.8-27B: RTX 5090 435.1 tok/s vs Tesla V100 x2 24.0 tok/s (RTX 5090 1713% faster).

The measured matrix

ModelRTX 5090Tesla V100 x2
NVIDIA-Nemotron-3.5-Lightning-30B-A3B446.7 NVFP4—
Qwen3.8-27B435.1 IQ4_XS24.0 Q8_K_XL
Ornith-1.0-35B-PrismaAURA-4.75bit-vllm-MTP283.1 NVFP4—
Kimi-Linear-48B-A3B-Instruct280.8 IQ4_XS—
Ornith-1.5-35B-A3B258.8 NVFP465.0 Q4_K_M
North-Mini-Code-1.0258.4 UD-Q6_K_XL—
Recursive Flint 40B224.8 NVFP4—
Qwen3.6-35B-A3B-MTP222.9 Unsloth-Dynamic-IQ4_XS—
Laguna-XS-2.1216.7 NVFP4—
KAT-Coder-V2.5-Dev-AWQ-W4A16-ASYM201.2 W4A16—
Ornith-1.0-35B196.6 AWQ—
Muse-Glimmer-30B124.8 NVFP4—
Qwen3.6-27B120.9 NVFP4—
Huihui-Qwen3.8-27B-abliterated117.7 NVFP4—
Qwen3.8-Flash-Next—96.1 IQ3XXS
Qwen3.8-27B-5090-goldilocks93.5 Q6_K—
Qwen3.6-27B-MTP28.3 Q5_K_M—
DeepSeek-V4-Flash-073126.4 MXFP4—

Head-to-head (models tested on both): RTX 5090 2 · Tesla V100 x2 0 · tied 0 · data as of Oct 30, 2026. Full rules: methodology.

Related reading: RTX 5090 vs 3090 · quantization · Value index · Full board

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