NVIDIA· TESLA

NVIDIA Tesla D870

VRAM
2 GB
BUDGET
BANDWIDTH
76.8
GB/S
MODELS Q4
26/331
8%
7B Q4 SPEED
~9
USABLE
▸ MODEL COVERAGE @ Q48% 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
2 GB
BANDWIDTH
76.8 GB/s
FP16 COMPUTE
0.3 TFLOPS
TDP
520W
MEMORY
GDDR3
ARCHITECTURE
Tesla
CUDA CORES
128
26
FAST MODELS · >30 TOK/S
Real-time chat speed
26
USABLE · >10 TOK/S
Comfortable for all tasks
26
TOTAL COMPATIBLE
Fit in VRAM at Q4
▸ RENT IT IN THE CLOUD

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Spin up in ~60s. Pay by the second. Cancel anytime.

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▸ COMPATIBLE MODELS· 26
S
nomic-embed-text-v1.5 100M0.1B
EMBEDDING·8K CTX· CHAT
614
TOK/S · 37% VRAM
S
GPT-2 124M0.124B
GPT2·1K CTX· CHAT
495
TOK/S · 38% VRAM
S
SmolLM2 135M0.135B
SMOLLM·2K CTX· CHAT
455
TOK/S · 38% VRAM
S
bge-large-en-v1.5 335M0.335B
EMBEDDING·1K CTX· CHAT
183
TOK/S · 46% VRAM
S
mxbai-embed-large-v10.335B
EMBEDDING·1K CTX· EMBEDDING
183
TOK/S · 46% VRAM
S
Snowflake Arctic Embed L0.335B
EMBEDDING·1K CTX· EMBEDDING
183
TOK/S · 46% VRAM
S
GPT-2 Medium 345M0.345B
GPT2·1K CTX· CHAT
178
TOK/S · 47% VRAM
S
SmolLM2 360M0.36B
SMOLLM·8K CTX· CHAT
171
TOK/S · 47% VRAM
S
Falcon-H1 0.5B0.5B
FALCON·128K CTX· CHAT
123
TOK/S · 53% VRAM
S
Qwen 1.5 0.5B0.5B
QWEN·32K CTX· CHAT
123
TOK/S · 53% VRAM
S
Qwen 2.5 0.5B0.5B
QWEN·32K CTX· CHAT
123
TOK/S · 53% VRAM
S
BGE-M30.568B
EMBEDDING·8K CTX· EMBEDDING
108
TOK/S · 56% VRAM
S
Qwen3 0.6B0.6B
QWEN·32K CTX· CHAT· REASONING
102
TOK/S · 57% VRAM
S
GPT-2 Large 774M0.774B
GPT2·1K CTX· CHAT
79
TOK/S · 64% VRAM
S
Qwen 3.5 0.8B0.8B
QWEN·256K CTX· CHAT· CODING· MULTILINGUAL
77
TOK/S · 65% VRAM
S
Qwen3.5-0.8B0.9B
QWEN·256K CTX· CHAT
68
TOK/S · 69% VRAM
S
Falcon3-1B1B
FALCON·32K CTX· CHAT
61
TOK/S · 73% VRAM
S
InternLM2 1B1B
INTERNLM·32K CTX· CHAT
61
TOK/S · 73% VRAM
A
TinyLlama 1.1B1.1B
LLAMA·2K CTX· CHAT
56
TOK/S · 77% VRAM
A
LFM2.5-1.2B-Thinking1.2B
LFM·122K CTX· CHAT· REASONING· TOOL_USE
51
TOK/S · 81% VRAM
A
Llama-3.2-1B1.2B
LLAMA·4K CTX· CHAT
51
TOK/S · 81% VRAM
A
DeepSeek Coder 1.3B1.3B
DEEPSEEK·16K CTX· CODING
47
TOK/S · 86% VRAM
A
EXAONE-4.0-1.2B1.3B
EXAONE·64K CTX· CHAT
47
TOK/S · 86% VRAM
A
OPT 1.3B1.3B
OPT·2K CTX· CHAT
47
TOK/S · 86% VRAM
A
Phi-1 1.3B1.3B
PHI·2K CTX· CODING
47
TOK/S · 86% VRAM
A
Phi-1.5 1.3B1.3B
PHI·2K CTX· CHAT· CODING
47
TOK/S · 86% VRAM
▸ NEXT STEP

Get personalized recommendations.

See ranked models with benchmark scores, run commands, and precise speed estimates for your Tesla D870.

▸ DEVICE UNDER TEST

NVIDIA Tesla D8702 GB VRAM.

TESLA D870 SPEC
BRAND
NVIDIA
VRAM
2 GB GDDR3
BANDWIDTH
76.8 GB/s
FP16 COMPUTE
0.3 TFLOPS
FP32 COMPUTE
0.3 TFLOPS
CUDA CORES
128
TDP
520 W
ARCHITECTURE
Tesla
▸ AI CAPABILITY
26/ 331 models @ Q4

With 2 GB VRAM and 76.8 GB/s bandwidth, this GPU handles models up to 1.3B parameters.

Speed ≈ bandwidth / model_size × efficiency. A 7B model at Q4 runs at ~9 tok/s.

§ 01TOP MODELS FOR TESLA D870
26 FIT · SHOWING 20
MODELSIZEVRAM Q4TOK/SAVG
DeepSeek Coder 1.3B1.3B1.3 GB4716.8
EXAONE-4.0-1.2B1.3B1.3 GB4718.9
OPT 1.3B1.3B1.3 GB475.3
Phi-1 1.3B1.3B1.3 GB477.2
Phi-1.5 1.3B1.3B1.3 GB477.2
LFM2.5-1.2B-Thinking1.2B1.2 GB5119.6
Llama-3.2-1B1.2B1.2 GB5110.1
TinyLlama 1.1B1.1B1.2 GB5613.6
Falcon3-1B1B1.1 GB6142.0
InternLM2 1B1B1.1 GB61
Qwen3.5-0.8B0.9B1.0 GB6820.5
Qwen 3.5 0.8B0.8B1.0 GB7723.4
GPT-2 Large 774M0.774B1.0 GB795.6
Qwen3 0.6B0.6B0.9 GB10219.1
BGE-M30.568B0.8 GB10863.0
Falcon-H1 0.5B0.5B0.8 GB12341.7
Qwen 1.5 0.5B0.5B0.8 GB1239.9
Qwen 2.5 0.5B0.5B0.8 GB12319.4
SmolLM2 360M0.36B0.7 GB1718.2
GPT-2 Medium 345M0.345B0.7 GB1785.9