Can Tesla P4 8GB run NVIDIA-Nemotron-3-Nano-4B-BF16?

NVIDIA · 8 GB GDDR5 · 192 GB/s bandwidth · NVIDIA · 4.0B · model ctx up to 256K

CUDA

Yes — the Tesla P4 8GB (8 GB GDDR5) can run NVIDIA-Nemotron-3-Nano-4B-BF16. At Q4 with the default 8K context it needs ≈ 3.24 GB VRAM (weights 2.2 GB + KV cache 0.04 GB + 1 GB runtime overhead), which fits within 8 GB. Decode at Q4/8K: ≈ 30.5 tok/s (estimated, batch 1). FP16 needs ≈ 9.04 GB — does not fit on this card. Estimates come from memory-bandwidth math; rows tagged measured override estimates. Relative ranking is more reliable than absolute tok/s. Methodology. Buy Tesla P4 8GB on Amazon →

Fit & speed by quant and context

Quant	Context	VRAM needed	Fits?	tok/s (decode)
Q4	4K	3.22 GB	Yes	30.5 ± est.
Q4	8K default	3.24 GB	Yes	30.5 ± est.
Q4	32K	3.36 GB	Yes	30.5 ± est.
FP16	4K	9.02 GB	No	18.8 ± est.
FP16	8K default	9.04 GB	No	18.7 ± est.
FP16	32K	9.16 GB	No	18.2 ± est.

Fits = weights + KV(ctx) + 1 GB overhead ≤ 95% of VRAM. Measured anchors are context-agnostic; the fit verdict is recomputed per context. A missing tok/s means the model is far beyond this card (offload-only territory).

VRAM breakdown at 8K context

Quant	Weights	KV cache	Overhead	Total needed	Tesla P4 8GB VRAM
Q4	2.2 GB	0.04 GB	1 GB	3.24 GB	8 GB
FP16	8.0 GB	0.04 GB	1 GB	9.04 GB	8 GB

Other GPUs that run NVIDIA-Nemotron-3-Nano-4B-BF16

• B200 192GB SXM — ≈1272.7 tok/s Q4 est.
• MI300X 192GB — ≈843.2 tok/s Q4 est.
• H200 141GB SXM5 — ≈763.6 tok/s Q4 est.
• H100 80GB SXM5 — ≈533.0 tok/s Q4 est.
• Gaudi 3 128GB — ≈521.2 tok/s Q4 est.
• A100 80GB SXM4 — ≈324.4 tok/s Q4 est.
• RTX 5090 32GB — ≈285.1 tok/s Q4 est.
• RTX 4090 24GB — ≈160.4 tok/s Q4 est.

All GPUs for NVIDIA-Nemotron-3-Nano-4B-BF16 →

Other models for the Tesla P4 8GB

• MiniCPM5-1B — ≈113.1 tok/s Q4 est.
• Qwen3.5-2B — ≈61.1 tok/s Q4 est.
• DeepSeek-R1-0528-Qwen3-8B-layer-mix-bpw-3.8-mlx — ≈53.1 tok/s Q4 est.
• Llama-3.2-3B-Instruct — ≈38.2 tok/s Q4 est.
• Qwen3-4B-Instruct-2507 — ≈30.5 tok/s Q4 est.
• Qwen3-4B-Thinking-2507 — ≈30.5 tok/s Q4 est.
• gemma-4-E2B-it — ≈24.0 tok/s Q4 est.
• Mistral-7B-Instruct-v0.3 — ≈17.0 tok/s Q4 est.

All models on the Tesla P4 8GB →