NVIDIA· TESLA 2.0

NVIDIA Tesla C1060

VRAM
1 GB
BUDGET
BANDWIDTH
102.4
GB/S
MODELS Q4
13/331
4%
7B Q4 SPEED
~12
USABLE
▸ MODEL COVERAGE @ Q44% OF ALL
▸ ESTIMATED SPEED· BY MODEL SIZE @ Q4

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

3B
1.7GB NEEDED
7B
3.9GB NEEDED
14B
7.9GB NEEDED
32B
18.0GB NEEDED
70B
39.4GB NEEDED
▸ SPECIFICATIONS
VRAM
1 GB
BANDWIDTH
102.4 GB/s
FP16 COMPUTE
0.6 TFLOPS
TDP
188W
MEMORY
GDDR3
ARCHITECTURE
Tesla 2.0
CUDA CORES
240
PCIE
Gen 2 x16
13
FAST MODELS · >30 TOK/S
Real-time chat speed
13
USABLE · >10 TOK/S
Comfortable for all tasks
13
TOTAL COMPATIBLE
Fit in VRAM at Q4
▸ RENT IT IN THE CLOUD

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▸ COMPATIBLE MODELS· 13
S
nomic-embed-text-v1.5 100M0.1B
EMBEDDING·8K CTX· CHAT
819
TOK/S · 55% VRAM
S
GPT-2 124M0.124B
GPT2·1K CTX· CHAT
661
TOK/S · 56% VRAM
S
SmolLM2 135M0.135B
SMOLLM·2K CTX· CHAT
607
TOK/S · 57% VRAM
S
bge-large-en-v1.5 335M0.335B
EMBEDDING·1K CTX· CHAT
245
TOK/S · 69% VRAM
S
mxbai-embed-large-v10.335B
EMBEDDING·1K CTX· EMBEDDING
245
TOK/S · 69% VRAM
S
Snowflake Arctic Embed L0.335B
EMBEDDING·1K CTX· EMBEDDING
245
TOK/S · 69% VRAM
S
GPT-2 Medium 345M0.345B
GPT2·1K CTX· CHAT
237
TOK/S · 70% VRAM
S
SmolLM2 360M0.36B
SMOLLM·8K CTX· CHAT
228
TOK/S · 71% VRAM
S
Falcon-H1 0.5B0.5B
FALCON·128K CTX· CHAT
164
TOK/S · 79% VRAM
S
Qwen 1.5 0.5B0.5B
QWEN·32K CTX· CHAT
164
TOK/S · 79% VRAM
S
Qwen 2.5 0.5B0.5B
QWEN·32K CTX· CHAT
164
TOK/S · 79% VRAM
S
BGE-M30.568B
EMBEDDING·8K CTX· EMBEDDING
144
TOK/S · 84% VRAM
S
Qwen3 0.6B0.6B
QWEN·32K CTX· CHAT· REASONING
137
TOK/S · 86% VRAM
▸ NEXT STEP

Get personalized recommendations.

See ranked models with benchmark scores, run commands, and precise speed estimates for your Tesla C1060.

▸ DEVICE UNDER TEST

NVIDIA Tesla C10601 GB VRAM.

TESLA C1060 SPEC
BRAND
NVIDIA
VRAM
1 GB GDDR3
BANDWIDTH
102.4 GB/s
FP16 COMPUTE
0.6 TFLOPS
FP32 COMPUTE
0.6 TFLOPS
CUDA CORES
240
TDP
188 W
ARCHITECTURE
Tesla 2.0
▸ AI CAPABILITY
13/ 331 models @ Q4

With 1 GB VRAM and 102.4 GB/s bandwidth, this GPU handles models up to 0.6B parameters.

Speed ≈ bandwidth / model_size × efficiency. A 7B model at Q4 runs at ~12 tok/s.

§ 01TOP MODELS FOR TESLA C1060
13 FIT · SHOWING 13
MODELSIZEVRAM Q4TOK/SAVG
Qwen3 0.6B0.6B0.9 GB13719.1
BGE-M30.568B0.8 GB14463.0
Falcon-H1 0.5B0.5B0.8 GB16441.7
Qwen 1.5 0.5B0.5B0.8 GB1649.9
Qwen 2.5 0.5B0.5B0.8 GB16419.4
SmolLM2 360M0.36B0.7 GB2288.2
GPT-2 Medium 345M0.345B0.7 GB2375.9
bge-large-en-v1.5 335M0.335B0.7 GB24562.3
mxbai-embed-large-v10.335B0.7 GB24564.7
Snowflake Arctic Embed L0.335B0.7 GB24556.0
SmolLM2 135M0.135B0.6 GB6077.0
GPT-2 124M0.124B0.6 GB6616.5
nomic-embed-text-v1.5 100M0.1B0.5 GB81962.3