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▸ NVIDIA· MAXWELL 2.0

NVIDIA Tesla M6 Mobile

VRAM
8 GB
ENTRY-LEVEL
BANDWIDTH
160
GB/S
MODELS Q4
220/449
49%
7B Q4 SPEED
~18
GOOD
▸ MODEL COVERAGE @ Q449% OF ALL
▸ ESTIMATED SPEED· BY MODEL SIZE @ Q4

Average speeds at Q4 quantization. Actual performance varies by model architecture and context length.

3B
~43
TOK/S
7B
~18
TOK/S
14B
—
7.9GB NEEDED
32B
—
18.0GB NEEDED
70B
—
39.4GB NEEDED
▸ SPECIFICATIONS
VRAM
8 GB
BANDWIDTH
160 GB/s
FP16 COMPUTE
3.6 TFLOPS
TDP
100W
MEMORY
GDDR5
ARCHITECTURE
Maxwell 2.0
CUDA CORES
1,536
PCIE
Gen 3 x16
104
FAST MODELS · >30 TOK/S
Real-time chat speed
220
USABLE · >10 TOK/S
Comfortable for all tasks
220
TOTAL COMPATIBLE
Fit in VRAM at Q4
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▸ COMPATIBLE MODELS· 220
S
Falcon-H1R Tiny 90M0.09B
FALCON·256K CTX· CHAT· REASONING
1422
TOK/S · 7% VRAM
›
S
SmolLM2 135M0.135B
SMOLLM·2K CTX· CHAT
948
TOK/S · 7% VRAM
›
S
nomic-embed-text-v1.5 100M0.14B
EMBEDDING·8K CTX· CHAT
914
TOK/S · 7% VRAM
›
S
GPT-2 124M0.14B
GPT2·1K CTX· CHAT
914
TOK/S · 7% VRAM
›
S
SmolVLM 256M0.256B
SMOLLM·8K CTX· CHAT· VISION
500
TOK/S · 8% VRAM
›
S
Gemma 3 270M0.27B
GEMMA·32K CTX· CHAT
474
TOK/S · 8% VRAM
›
S
Snowflake Arctic Embed M v2.00.305B
EMBEDDING·8K CTX· EMBEDDING· MULTILINGUAL
420
TOK/S · 8% VRAM
›
S
bge-large-en-v1.5 335M0.335B
EMBEDDING·1K CTX· CHAT
382
TOK/S · 9% VRAM
›
S
mxbai-embed-large-v10.335B
EMBEDDING·1K CTX· EMBEDDING
382
TOK/S · 9% VRAM
›
S
Snowflake Arctic Embed L0.335B
EMBEDDING·1K CTX· EMBEDDING
382
TOK/S · 9% VRAM
›
S
LFM2 350M0.35B
LFM·125K CTX· CHAT· TOOL_USE
366
TOK/S · 9% VRAM
›
S
SmolLM2 360M0.36B
SMOLLM·8K CTX· CHAT
356
TOK/S · 9% VRAM
›
S
GPT-2 Medium 345M0.38B
GPT2·1K CTX· CHAT
337
TOK/S · 9% VRAM
›
S
Qwen 2.5 0.5B0.5B
QWEN·32K CTX· CHAT
256
TOK/S · 10% VRAM
›
S
SmolVLM 500M0.5B
SMOLLM·8K CTX· CHAT· VISION
256
TOK/S · 10% VRAM
›
S
Falcon-H1 0.5B0.52B
FALCON·128K CTX· CHAT
246
TOK/S · 10% VRAM
›
S
BGE-M30.568B
EMBEDDING·8K CTX· EMBEDDING
225
TOK/S · 10% VRAM
›
S
Snowflake Arctic Embed L v2.00.568B
EMBEDDING·8K CTX· EMBEDDING· MULTILINGUAL
225
TOK/S · 10% VRAM
›
S
Qwen3-Embedding 0.6B0.6B
EMBEDDING·32K CTX· EMBEDDING· MULTILINGUAL
213
TOK/S · 11% VRAM
›
S
Falcon-H1R Tiny 0.6B0.6B
FALCON·32K CTX· CHAT· REASONING
213
TOK/S · 11% VRAM
›
S
Falcon Perception 0.6B0.6B
FALCON·4K CTX· VISION
213
TOK/S · 11% VRAM
›
S
Qwen 1.5 0.5B0.62B
QWEN·32K CTX· CHAT
206
TOK/S · 11% VRAM
›
S
LFM2 700M0.74B
LFM·125K CTX· CHAT· TOOL_USE
173
TOK/S · 12% VRAM
›
S
Qwen3 0.6B0.75B
QWEN·32K CTX· CHAT· REASONING
171
TOK/S · 12% VRAM
›
S
GPT-2 Large 774M0.81B
GPT2·1K CTX· CHAT
158
TOK/S · 12% VRAM
›
S
Qwen 3.5 0.8B0.87B
QWEN·256K CTX· CHAT· CODING· MULTILINGUAL
147
TOK/S · 13% VRAM
›
S
InternVL3 1B0.94B
OTHER·32K CTX· CHAT· VISION
136
TOK/S · 13% VRAM
›
S
MiniCPM5 1B1.08B
MINICPM·128K CTX· CHAT· REASONING· MULTILINGUAL
119
TOK/S · 14% VRAM
›
S
TinyLlama 1.1B1.1B
LLAMA·2K CTX· CHAT
116
TOK/S · 15% VRAM
›
S
LFM2.5-1.2B-Thinking1.2B
LFM·122K CTX· CHAT· REASONING· TOOL_USE
107
TOK/S · 15% VRAM
›
S
Llama-3.2-1B1.2B
LLAMA·4K CTX· CHAT
107
TOK/S · 15% VRAM
›
S
LFM2 1.2B1.2B
LFM·125K CTX· CHAT· TOOL_USE· MULTILINGUAL
107
TOK/S · 15% VRAM
›
S
Zamba2 1.2B1.2B
OTHER·4K CTX· CHAT
107
TOK/S · 15% VRAM
›
S
EXAONE-4.0-1.2B1.3B
EXAONE·64K CTX· CHAT
98
TOK/S · 16% VRAM
›
S
OPT 1.3B1.3B
OPT·2K CTX· CHAT
98
TOK/S · 16% VRAM
›
S
MiniCPM-V 4.61.3B
OTHER·256K CTX· CHAT· VISION
98
TOK/S · 16% VRAM
›
S
DeepSeek Coder 1.3B1.35B
DEEPSEEK·16K CTX· CODING
95
TOK/S · 16% VRAM
›
S
Phi-1 1.3B1.42B
PHI·2K CTX· CODING
90
TOK/S · 17% VRAM
›
S
Phi-1.5 1.3B1.42B
PHI·2K CTX· CHAT· CODING
90
TOK/S · 17% VRAM
›
S
LFM2 8B A1B8.3BMoE
LFM·125K CTX· CHAT· TOOL_USE· MULTILINGUAL
85
TOK/S · 70% VRAM
›
▸ NEXT STEP

Get personalized recommendations.

See ranked models with benchmark scores, run commands, and precise speed estimates for your Tesla M6 Mobile.

▸Find models for Tesla M6 MobileCompare with other GPUs
▸ DEVICE UNDER TEST

NVIDIA Tesla M6 Mobile — 8 GB VRAM.

▸ TESLA M6 MOBILE SPEC
BRAND
NVIDIA
VRAM
8 GB GDDR5
BANDWIDTH
160 GB/s
FP16 COMPUTE
3.6 TFLOPS
FP32 COMPUTE
3.6 TFLOPS
CUDA CORES
1,536
TDP
100 W
ARCHITECTURE
Maxwell 2.0
▸ AI CAPABILITY
220/ 449 models @ Q4

With 8 GB VRAM and 160 GB/s bandwidth, this GPU handles models up to 10.7B parameters.

Speed ≈ bandwidth / model_size × efficiency. A 7B model at Q4 runs at ~18 tok/s.

§ 01TOP MODELS FOR TESLA M6 MOBILE
220 FIT · SHOWING 20
MODELSIZEVRAM Q4TOK/SAVG
SOLAR-10.7B10.7B7.0 GB1228.2
Falcon3-10B10.3B6.8 GB1238.2
GLM-4.1V 9B Thinking10.29B6.8 GB12—
Bamba 9B v29.78B6.5 GB1326.1
Qwen 3.5 9B9.65B6.4 GB1350.6
RecurrentGemma 9B9.63B6.4 GB1335.0
glm-4-9b9.4B6.2 GB1420.5
MiniCPM-o 4.59.37B6.2 GB14—
gemma-2-9b9.2B6.1 GB1430.2
Yi 1.5 9B9B6.0 GB1430.3
Yi Coder 9B9B6.0 GB1435.8
Ministral 3 8B8.92B5.9 GB1425.7
Ministral 3 8B Reasoning8.92B5.9 GB14—
NVIDIA-Nemotron-Nano-9B-v28.9B5.9 GB1444.2
InternLM3 8B Instruct8.8B5.9 GB1538.7
Qwen3-VL 8B Instruct8.77B5.8 GB1526.4
MiniCPM-V 4.58.7B5.8 GB1526.1
MiniCPM-o 2.68.67B5.8 GB1540.3
Gemma 1 7B8.54B5.7 GB1524.7
CodeGemma 7B8.54B5.7 GB1540.2