FitMyLLM
NVIDIA· FERMI

NVIDIA Quadro 6000 SDI

Running LLMs on the Quadro 6000 SDI — the long read: which models fit at which quantisation, and the settings worth changing. · Or what a budget buys

VRAM
6 GB
BUDGET
BANDWIDTH
143.4
GB/S
MODELS Q4
130/449
29%
7B Q4 SPEED
~16
GOOD
▸ MODEL COVERAGE @ Q429% OF ALL
▸ ESTIMATED SPEED· BY MODEL SIZE @ Q4

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

3B
~38
TOK/S
7B
~16
TOK/S
14B
7.9GB NEEDED
32B
18.0GB NEEDED
70B
39.4GB NEEDED
▸ MEASURED RIG REPORTS

We rent the machine and time every model on it: decode, VRAM peak, concurrency, watts and cost per million tokens. Yours may already be one of them — and two are free to read in full.

SEE THE REPORTS
▸ SPECIFICATIONS
VRAM
6 GB
BANDWIDTH
143.4 GB/s
FP16 COMPUTE
1 TFLOPS
TDP
231W
MEMORY
GDDR5
ARCHITECTURE
Fermi
CUDA CORES
448
PCIE
Gen 2 x16
94
FAST MODELS · >30 TOK/S
Real-time chat speed
130
USABLE · >10 TOK/S
Comfortable for all tasks
130
TOTAL COMPATIBLE
Fit in VRAM at Q4
▸ DON’T WANT TO BUY?

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▸ COMPATIBLE MODELS· 130
S
Falcon-H1R Tiny 90M0.09B
FALCON·256K CTX· CHAT· REASONING
1275
TOK/S · 9% VRAM
S
SmolLM2 135M0.135B
SMOLLM·2K CTX· CHAT
850
TOK/S · 10% VRAM
S
nomic-embed-text-v1.5 100M0.14B
EMBEDDING·8K CTX· CHAT
819
TOK/S · 10% VRAM
S
GPT-2 124M0.14B
GPT2·1K CTX· CHAT
819
TOK/S · 10% VRAM
S
SmolVLM 256M0.256B
SMOLLM·8K CTX· CHAT· VISION
448
TOK/S · 11% VRAM
S
Gemma 3 270M0.27B
GEMMA·32K CTX· CHAT
425
TOK/S · 11% VRAM
S
Snowflake Arctic Embed M v2.00.305B
EMBEDDING·8K CTX· EMBEDDING· MULTILINGUAL
376
TOK/S · 11% VRAM
S
bge-large-en-v1.5 335M0.335B
EMBEDDING·1K CTX· CHAT
342
TOK/S · 12% VRAM
S
mxbai-embed-large-v10.335B
EMBEDDING·1K CTX· EMBEDDING
342
TOK/S · 12% VRAM
S
Snowflake Arctic Embed L0.335B
EMBEDDING·1K CTX· EMBEDDING
342
TOK/S · 12% VRAM
S
LFM2 350M0.35B
LFM·125K CTX· CHAT· TOOL_USE
328
TOK/S · 12% VRAM
S
SmolLM2 360M0.36B
SMOLLM·8K CTX· CHAT
319
TOK/S · 12% VRAM
S
GPT-2 Medium 345M0.38B
GPT2·1K CTX· CHAT
302
TOK/S · 12% VRAM
S
Qwen 2.5 0.5B0.5B
QWEN·32K CTX· CHAT
229
TOK/S · 13% VRAM
S
SmolVLM 500M0.5B
SMOLLM·8K CTX· CHAT· VISION
229
TOK/S · 13% VRAM
S
Falcon-H1 0.5B0.52B
FALCON·128K CTX· CHAT
221
TOK/S · 13% VRAM
S
BGE-M30.568B
EMBEDDING·8K CTX· EMBEDDING
202
TOK/S · 14% VRAM
S
Snowflake Arctic Embed L v2.00.568B
EMBEDDING·8K CTX· EMBEDDING· MULTILINGUAL
202
TOK/S · 14% VRAM
S
Qwen3-Embedding 0.6B0.6B
EMBEDDING·32K CTX· EMBEDDING· MULTILINGUAL
191
TOK/S · 14% VRAM
S
Falcon-H1R Tiny 0.6B0.6B
FALCON·32K CTX· CHAT· REASONING
191
TOK/S · 14% VRAM
S
Falcon Perception 0.6B0.6B
FALCON·4K CTX· VISION
191
TOK/S · 14% VRAM
S
Qwen 1.5 0.5B0.62B
QWEN·32K CTX· CHAT
185
TOK/S · 14% VRAM
S
LFM2 700M0.74B
LFM·125K CTX· CHAT· TOOL_USE
155
TOK/S · 16% VRAM
S
Qwen3 0.6B0.75B
QWEN·32K CTX· CHAT· REASONING
153
TOK/S · 16% VRAM
S
GPT-2 Large 774M0.81B
GPT2·1K CTX· CHAT
142
TOK/S · 16% VRAM
S
Qwen 3.5 0.8B0.87B
QWEN·256K CTX· CHAT· CODING· MULTILINGUAL
132
TOK/S · 17% VRAM
S
InternVL3 1B0.94B
OTHER·32K CTX· CHAT· VISION
122
TOK/S · 18% VRAM
S
MiniCPM5 1B1.08B
MINICPM·128K CTX· CHAT· REASONING· MULTILINGUAL
106
TOK/S · 19% VRAM
S
TinyLlama 1.1B1.1B
LLAMA·2K CTX· CHAT
104
TOK/S · 19% VRAM
S
LFM2.5-1.2B-Thinking1.2B
LFM·122K CTX· CHAT· REASONING· TOOL_USE
96
TOK/S · 20% VRAM
S
Llama-3.2-1B1.2B
LLAMA·4K CTX· CHAT
96
TOK/S · 20% VRAM
S
LFM2 1.2B1.2B
LFM·125K CTX· CHAT· TOOL_USE· MULTILINGUAL
96
TOK/S · 20% VRAM
S
Zamba2 1.2B1.2B
OTHER·4K CTX· CHAT
96
TOK/S · 20% VRAM
S
EXAONE-4.0-1.2B1.3B
EXAONE·64K CTX· CHAT
88
TOK/S · 21% VRAM
S
OPT 1.3B1.3B
OPT·2K CTX· CHAT
88
TOK/S · 21% VRAM
S
MiniCPM-V 4.61.3B
OTHER·256K CTX· CHAT· VISION
88
TOK/S · 21% VRAM
S
DeepSeek Coder 1.3B1.35B
DEEPSEEK·16K CTX· CODING
85
TOK/S · 22% VRAM
S
Phi-1 1.3B1.42B
PHI·2K CTX· CODING
81
TOK/S · 23% VRAM
S
Phi-1.5 1.3B1.42B
PHI·2K CTX· CHAT· CODING
81
TOK/S · 23% VRAM
S
granite-4.0-h-tiny 6.9B6.9BMoE
GRANITE·128K CTX· CHAT
76
TOK/S · 78% VRAM
▸ NEXT STEP

Get personalized recommendations.

See ranked models with benchmark scores, run commands, and precise speed estimates for your Quadro 6000 SDI.

WHAT THIS CARD IS WORTH

Quadro 6000 SDI holds 130 of the models in our catalogue and is, in practice, a Q4_K_M card — the largest it takes is Falcon-H1 7B at Q4_K_M.

TOKENS/SEC PER $100
8B at Q4_K_M, so cards compare like for like
VRAM PER $100
what memory costs on this card
THE BIGGEST IT TAKES
Falcon-H1 7B7.59B · Q4_K_M5.4 GB20 tok/sEST
Falcon-H1R 7B7.59B · Q4_K_M5.4 GB20 tok/sEST
Falcon Mamba 7B7.27B · Q4_K_M5.0 GB21 tok/sEST
WizardLM 2 7B7B · Q4_K_M5.3 GB22 tok/sEST
StarCoder2 7B7B · Q4_K_M5.0 GB22 tok/sEST
Dolly v2 7B6.9B · Q4_K_M5.3 GB22 tok/sEST
granite-4.0-h-tiny 6.9B6.9B · Q4_K_M5.0 GB103 tok/sEST
ChatGLM2 6B6.24B · Q5_K_M5.1 GB21 tok/sEST
AGAINST CARDS OF SIMILAR MEMORY
RTX 3080 10GB10 GB$42917.7 tok/s per $100
Arc B57010 GB$2198.2 tok/s per $100
Radeon RX 670010 GB$29912.0 tok/s per $100
Radeon RX 6750 GRE 10 GB10 GB$22915.7 tok/s per $100
Quadro 6000 SDI6 GB

Neighbours in memory rather than in price: memory decides whether a card can do the job at all, so two cards of the same size at different prices is the comparison you are making. Ordered by memory, then bandwidth — not by the value column, which is worked out from bandwidth and price alone and therefore rewards a cheap card whatever its software stack does to that bandwidth in practice. Read it as one input, not as a ranking.

▸ DEVICE UNDER TEST

NVIDIA Quadro 6000 SDI — 6 GB VRAM.

QUADRO 6000 SDI SPEC
BRAND
NVIDIA
VRAM
6 GB GDDR5
BANDWIDTH
143.4 GB/s
FP16 COMPUTE
1 TFLOPS
FP32 COMPUTE
1 TFLOPS
CUDA CORES
448
TDP
231 W
ARCHITECTURE
Fermi
▸ AI CAPABILITY
130/ 449 models @ Q4

With 6 GB VRAM and 143.4 GB/s bandwidth, this GPU handles models up to 7B parameters.

Speed ≈ bandwidth / model_size × efficiency. A 7B model at Q4 runs at ~16 tok/s.

RENT IT — LIVE PRICES
Checking what the clouds are charging…
§ 01TOP MODELS FOR QUADRO 6000 SDI
130 FIT · SHOWING 20
MODELSIZEVRAM Q4TOK/SAVG
Alpaca 7B7B4.8 GB1627.7
Baichuan2 7B7B4.8 GB1621.5
Vicuna 7B7B4.8 GB1622.0
MPT-7B7B4.8 GB167.8
Orca 2 7B7B4.8 GB1626.1
WizardLM 2 7B7B4.8 GB1626.1
StarCoder2 7B7B4.8 GB1617.0
WizardCoder Python 7B7B4.8 GB1653.7
WizardLM 7B7B4.8 GB1615.5
OLMo 3.1 RLZero 7B Code7B4.8 GB1621.8
OLMo 3.1 RLZero 7B Math7B4.8 GB1621.8
Dolly v2 7B6.9B4.7 GB177.0
granite-4.0-h-tiny 6.9B6.9B4.7 GB7649.2
Llama 2 7B6.74B4.6 GB1721.1
CodeLlama 7B6.74B4.6 GB1728.1
LLaMA 1 7B6.74B4.6 GB1730.8
DeepSeek Coder 6.7B6.7B4.6 GB1723.6
OPT 6.7B6.7B4.6 GB1718.5
ChatGLM2 6B6.24B4.3 GB1820.7
ChatGLM3 6B6.24B4.3 GB1842.7