How fast will Qwen 3.6/3.8 27B feel on the NVIDIA Tesla V100 32GB?

Qwen 3.6/3.8 27B on the NVIDIA Tesla V100 32GB

Qwen 3.6/3.8 27B is a 27.78B-parameter model. At Q4_K_M it needs about 17.6 GB of memory. The NVIDIA Tesla V100 32GB has 30 GB usable, so it fits entirely in memory. Expect about 31 tokens/sec (24–37), with the first token after 0.3 s for a short prompt. This estimate is based on community benchmarks of this exact setup.

Speed by quantization

Quantization	File size	Memory	Generation	First token	Source
Q4_K_M	16.8 GB	Fits	31 tok/s	0.3 s	Measured
Q8_0	28.6 GB	Fits	14 tok/s	0.3 s	Derived
FP16	53.8 GB	Doesn't fit	Won't run	—	—

Qwen 3.6/3.8 27B on other hardware

H200 141GB (cloud) · 124 tok/s at Q4_K_M
H100 80GB (cloud) · 87 tok/s at Q4_K_M
Mac Studio M5 Ultra 256GB · 47 tok/s at Q4_K_M
NVIDIA RTX 5090 32GB · 46 tok/s at Q4_K_M
NVIDIA RTX PRO 6000 96GB · 46 tok/s at Q4_K_M
AMD RX 7900 XTX 24GB · 37 tok/s at Q4_K_M
Mac Studio M5 Ultra 512GB · 34 tok/s at Q4_K_M
AMD RX 7900 XT 20GB · 31 tok/s at Q4_K_M
NVIDIA RTX 4090 24GB · 26 tok/s at Q4_K_M
Mac Studio M3 Ultra 512GB · 26 tok/s at Q4_K_M
AMD Instinct MI50 32GB · 25 tok/s at Q4_K_M
AMD Radeon AI PRO R9700 32GB · 25 tok/s at Q4_K_M
NVIDIA RTX 3090 24GB · 24 tok/s at Q4_K_M
MacBook Pro M5 Max 128GB · 19 tok/s at Q4_K_M
Mac Studio M4 Max 128GB · 17 tok/s at Q4_K_M
AMD RX 9070 XT 16GB · 11 tok/s at Q4_K_M
NVIDIA RTX 5080 16GB · 11 tok/s at Q4_K_M
NVIDIA RTX 5070 Ti 16GB · 11 tok/s at Q4_K_M
AMD Ryzen AI Max+ PRO 495 192GB (Gorgon Halo) · 10 tok/s at Q4_K_M
AMD Ryzen AI Max+ 395 128GB (Strix Halo) · 9.8 tok/s at Q4_K_M
Mac mini M5 Pro 64GB · 9.7 tok/s at Q4_K_M
MacBook Pro M5 Pro 48GB · 9.7 tok/s at Q4_K_M
MacBook M4 Pro 24GB · 8.7 tok/s at Q4_K_M
NVIDIA RTX 5060 Ti 16GB · 7.9 tok/s at Q4_K_M
NVIDIA RTX Spark N1X 128GB (laptop) · 7.8 tok/s at Q4_K_M
Intel Arc Pro B70 32GB · 7.5 tok/s at Q4_K_M
NVIDIA DGX Spark 128GB · 7.1 tok/s at Q4_K_M
NVIDIA RTX 3060 12GB · 5.1 tok/s at Q4_K_M
CPU-only (Ryzen 9 9950X, 96GB DDR5) · 3.6 tok/s at Q4_K_M

Other models on the NVIDIA Tesla V100 32GB

Qwen 3.8 Flash-Next · won't run
GLM-5.3 Flash · won't run
Gemma 4 26B A4B · 157 tok/s at Q4_K_M
GPT-OSS 20B · 188 tok/s at MXFP4
Qwen 3.5/3.6 35B A3B · 105 tok/s at Q4_K_M
Gemma 4 31B · 21 tok/s at Q4_K_M
Qwen 3.5 9B · 69 tok/s at Q4_K_M
DeepSeek V4 Flash · won't run
DeepSeek V4.1 Flash · won't run
GPT-OSS 120B · won't run
Llama 3.1 8B · 90 tok/s at Q4_K_M
Gemma 4 12B · 55 tok/s at Q4_K_M
GLM-5.3 · won't run
Nemotron 3.5 Lightning 30B A3B · 163 tok/s at Q4_K_M

All models on the NVIDIA Tesla V100 32GB · Qwen 3.6/3.8 27B on all hardware

Estimates for a short prompt on a single device. Measured numbers come from community benchmarks (r/LocalLLaMA, localscore.ai and more); others are derived from similar setups or projected from specs. Open source on GitHub.